Location\n\n🌎 While we are an all-remote company and hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.\n\nPreferred locations:\n\n\n* Remote, EST Timezone\n\n\n\nWhy this job is exciting\n\nSource code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services. Our latest addition to our product catalog, Cody, reimagines how code is written and supercharges our developer customers. Sourcegraph hosts the infrastructure for our customers to manage their source code (search, insights, own, etc.) and our brand new AI Code Assistant (Cody).\n\nThis role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software. \n\nThe Cloud Operation team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Cloud Ops team, you will work closely with both external customers and internal stakeholders to meet their needs. You will:\n\n\n* Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud.\n\n* Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances. \n\n* Expose complex infrastructure as API to support internal customers to iterate faster.\n\n* Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP)  to debug and patch non-trivial problems.\n\n* Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence. \n\n* Participate in on-call rotation to uphold our contractual SLA commitments.\n\n\n\n\n📅 Within one month, you will…\n\n\n* Onboard onto the Sourcegraph architecture, tooling, and development workflow.\n\n* Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals.\n\n* Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals.\n\n* Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs.\n\n\n\n\n📅 Within three months, you will…\n\n\n* Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem.\n\n* Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments.\n\n* Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs.\n\n* Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery.\n\n* Participate in our on-call rotation.\n\n\n\n\n📅 Within six months, you will…\n\n\n* Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones, which you will deliver with the team iteratively.\n\n* Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs.\n\n* Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar.\n\n\n\nAbout you\n\nYou bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who looks to solve problems through writing code rather than one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary. \n\nQualifications:\n\n\n* Proficiency in Go, or other strongly typed languages.\n\n* Knowledge in one of the public cloud platform providers (GCP, AWS, Azure)\n\n* Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation.\n\n* Skilled at debugging distributed systems followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory.\n\n* Ability to communicate clearly and empathetically, especially in writing and documentation.\n\n* Preferred time zone between UTC-8 and UTC+2\n\n\n\n\nNice to haves:\n\n\n* Built services and exposed them as API for external consumption  (e.g., gRPC).\n\n* Comfortable implementing system-level software  (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators.\n\n* Published blog posts and/or tech talks about your work.\n\n* Experience working on small high-performing teams, preferably tech startups.\n\n\n\nLevel\n\n📊 This job is an IC3. You can read more about our job leveling philosophy in our Handbook.\nCompensation\n\n💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.\n\nTo determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The starting salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that these salary ranges may be adjusted in the future.\n\n💰The target compensation for this role is $136,000 USD base.\n\n\n* Zone 2: $136,000 USD\n\n* Zone 3: $102,000 USD\n\n* Zone 4: $68,000 USD\n\n\n\n\nPlease speak with a recruiter for additional information regarding zone locations.\n\n📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.\nInterview process\n\nBelow is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! \n\nWe expect the interview process to take 5.5 hours in total.\n\n👋 Introduction Stage - we have initial conversations to get to know you better…\n\n\n* [30m] Recruiter Screen\n\n* [15m] Hiring Manager Intro\n\n\n\n\n🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…\n\n\n* [Async] Take home exercise\n\n* [60m] Exercise walkthrough (10-15m) & System Design (45m)\n\n* [60m] Pairing Exercise (45m) & Infrastructure Interview (15m)\n\n* [45m] Cross-functional Team Collaboration Interview\n\n* [60m] Resume Deep Dive\n\n\n\n\n🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically…\n\n\n* [30m] Values\n\n* [30m] Leadership with co-founder \n\n* We check references and conduct your background check\n\n\n\n\nPlease note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Recruiter, Cloud, API and Engineer jobs that are similar:\n\n $42,500 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

Location\n\n🌎 While we are an all-remote company and hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.\n\nPreferred locations:\n\n\n* Remote, EST Timezone\n\n\n\nWhy this job is exciting\n\nSource code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services. Our latest addition to our product catalog, Cody, reimagines how code is written and supercharges our developer customers. Sourcegraph hosts the infrastructure for our customers to manage their source code (search, insights, own, etc.) and our brand new AI Code Assistant (Cody).\n\nThis role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software. \n\nThe Cloud Operation team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Cloud Ops team, you will work closely with both external customers and internal stakeholders to meet their needs. You will:\n\n\n* Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud.\n\n* Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances. \n\n* Expose complex infrastructure as API to support internal customers to iterate faster.\n\n* Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP)  to debug and patch non-trivial problems.\n\n* Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence. \n\n* Participate in on-call rotation to uphold our contractual SLA commitments.\n\n\n\n\n📅 Within one month, you will…\n\n\n* Onboard onto the Sourcegraph architecture, tooling, and development workflow.\n\n* Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals.\n\n* Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals.\n\n* Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs.\n\n\n\n\n📅 Within three months, you will…\n\n\n* Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem.\n\n* Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments.\n\n* Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs.\n\n* Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery.\n\n* Participate in our on-call rotation.\n\n\n\n\n📅 Within six months, you will…\n\n\n* Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones, which you will deliver with the team iteratively.\n\n* Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs.\n\n* Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar.\n\n\n\nAbout you\n\nYou bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who looks to solve problems through writing code rather than one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary. \n\nQualifications:\n\n\n* Proficiency in Go, or other strongly typed languages.\n\n* Knowledge in one of the public cloud platform providers (GCP, AWS, Azure)\n\n* Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation.\n\n* Skilled at debugging distributed systems followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory.\n\n* Ability to communicate clearly and empathetically, especially in writing and documentation.\n\n* Preferred time zone between UTC-8 and UTC+2\n\n\n\n\nNice to haves:\n\n\n* Built services and exposed them as API for external consumption  (e.g., gRPC).\n\n* Comfortable implementing system-level software  (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators.\n\n* Published blog posts and/or tech talks about your work.\n\n* Experience working on small high-performing teams, preferably tech startups.\n\n\n\nLevel\n\n📊 This job is an IC3. You can read more about our job leveling philosophy in our Handbook.\nCompensation\n\n💸 We pay you an above-average salary because we want to hire the best people who are fully focused on helping Sourcegraph succeed, not worried about paying bills. As an open and transparent company that values competitive compensation, our compensation ranges are visible to every single Sourcegraph teammate.\n\nTo determine your salary, we use a number of market and data-driven salary sources, along with your location zone, and target the high-end of the range to ensure we’re always paying above market regardless of where you live in the world. Both U.S. and international locations are divided into one of four zones, determined by the cost of labor index for each area. The starting salary for a successful candidate will be based on level, job-related skills, experience, qualifications, and location zone. Please note that these salary ranges may be adjusted in the future.\n\n💰The target compensation for this role is $136,000 USD base.\n\n\n* Zone 2: $136,000 USD\n\n* Zone 3: $102,000 USD\n\n* Zone 4: $68,000 USD\n\n\n\n\nPlease speak with a recruiter for additional information regarding zone locations.\n\n📈 In addition to our cash compensation, we offer equity (because when we succeed as a company, we want you to succeed, too) and generous perks & benefits.\nInterview process\n\nBelow is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! \n\nWe expect the interview process to take 5.5 hours in total.\n\n👋 Introduction Stage - we have initial conversations to get to know you better…\n\n\n* [30m] Recruiter Screen\n\n* [15m] Hiring Manager Intro\n\n\n\n\n🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…\n\n\n* [Async] Take home exercise\n\n* [60m] Exercise walkthrough (10-15m) & System Design (45m)\n\n* [60m] Pairing Exercise (45m) & Infrastructure Interview (15m)\n\n* [45m] Cross-functional Team Collaboration Interview\n\n* [60m] Resume Deep Dive\n\n\n\n\n🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically…\n\n\n* [30m] Values\n\n* [30m] Leadership with co-founder \n\n* We check references and conduct your background check\n\n\n\n\nPlease note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Recruiter, Cloud, API and Engineer jobs that are similar:\n\n $42,500 — $82,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nLoopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam. \n\n\nLoopio is looking for a passionate and endlessly curious Senior Software Developer to join the team of talented Software Engineers and Architects that support our portfolio (feature development) teams. You’ll be on a mission to enable our software development teams to deliver cutting-edge features to our customers with high speed and confidence in an automated and repeatable process. \n\n\nIf you are a passionate software engineer who always looks at opportunities to improve your mastery, and enjoys working in a fast-paced collaborative environment, you will be successful in this role.\n\n\n\n\n\nWhat You'll Be Doing\n* Leading and rapidly implementing foundational change and refactoring to support ambitious growth and cross-cutting improvements to the platform architecture\n* Contribute to the transition of our application to a service-based architecture\n* Collaborate with our Architects, Tech Leads, and Product Managers across portfolio teams to identify and propose scalable solutions to business problems\n* Mentor and coach other developers, provide technical guidance, and help foster an environment of knowledge-sharing and feedback\n* Contribute to our API strategy and support our teams in designing and developing the latest version of our customer-facing API based on industry standards and best practices\n* Investigate next-generation technologies to solve current and future technical challenges\n* Pioneer enhancements in system performance, taking a proactive role in elevating our platform’s responsiveness and efficiency. Engage in critical analysis and optimization initiatives that redefine the user experience and operational agility\n* Drive strategic upgrades to enhance our platform’s capabilities, ensuring it stays ahead of industry trends and meets evolving business needs\n\n\n\nWhat You'll Bring to the Team\n* Passion for technology and tight collaboration with business and development teams to build winning solutions\n* Versatility in engineering, with proficiency in both frontend and backend development, enabling you to deliver comprehensive, full-stack solutions that enhance our platform’s capabilities\n* Strong understanding of testing best practices\n* Comfort guiding technical design discussions and facilitating technical decision making\n* A growing passion for driving processes and improving software development productivity for everyone\n* Proficient in using and designing RESTful APIs\n* Mentorship to other engineers through coaching, design, code reviews\n* Strong knowledge of web technology stacks\n* Experience with agile development using Scrum or Kanban\n\n\n\nWhere You'll Work\n* Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We have two Hub Regions, which means that employees live and work within a 300 KM radius of Toronto (within Ontario) or Vancouver (within British Columbia) and work within regular business hours in their timezone. \n* Loopio’s office headquarters are located in Toronto’s vibrant Kensington Market. All Loopers have the option to work from home. Ontario Loopers have the option to work in the Toronto HQ and BC Loopers may work from our co-working office in Gastown Vancouver. It is whatever works best for you!\n* You’ll collaborate with your teams virtually (we’re just a Zoom call away!) and have established core sync hours and focus time during the workday to enable us to work smarter together\n\n\n\nWhy You'll Love Working at Loopio\n* Your manager supports your development by providing ongoing feedback and regular 1-on-1s \n* You have tons of autonomy and responsibility: this role provides an opportunity to try new things and push creative boundaries\n* You’ll learn more than you thought was possible; our team is obsessed with personal and professional growth (every Looper receives a professional mastery allowance each year)\n* You’ll be set up to work remotely with a MacBook laptop, a monthly phone and internet allowance, and a work-from-home budget to help get your home office all set up! \n* Join us in regular company socials, AMA (Ask-Me-Anything), and quarterly kick-off to celebrate the big wins and milestones as #oneteam!\n* You’ll be joining a culture that has thoughtfully built out opportunities for connections in a remote first environment.\n* We have Employee Resource Groups, House Teams (curious? ask us about it!), virtual yoga, cooking classes and many more moments for us to have fun and learn together! \n* You’ll be a part of an award-winning workplace and one of Canada’s fastest growing companies with ample opportunity to make a big impact here!\n\n\n\n\n\n\nWe recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups. \n\n\nWhether or not your experience checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.\n\n\nLoopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team ([email protected]) should you require accommodations at any point during our virtual interview processes. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, API, Senior, Engineer and Backend jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nToronto Hub

What you’ll do\n\n\n* Own the platforms and tools that Courier Health engineers use to develop, test, deploy, and operate their code in production, including both third-party services and internal systems.\n\n* Work with engineering teams to understand their pain points, then build, test, and roll out solutions to the engineering organization.\n\n* Implement metrics to measure developer efficiency, and utilize them to determine project priorities and communicate engineering health.\n\n* Collaborate with Engineering and Product leadership to plan and prioritize developer efficiency projects.\n\n* Drive the adoption of best practices, coding standards, and development methodologies across engineering teams, ensuring consistency, reliability, and maintainability of the codebase.\n\n* Lead cross-functional squads of engineers to implement developer experience projects.\n\n* Consult with engineering teams to design scalable and reliable systems.\n\n* Think one step ahead to identify and resolve infrastructure bottlenecks before they become critical.\n\n* Mentor and coach junior engineers, fostering a culture of continuous learning, collaboration, and innovation.\n\n\n\nExample Projects\n\nThese projects may be owned by this role, or may be collaborations with other engineering teams.\n\n\n* Increase release cadence, decrease change-failure rate, and decrease operational release cost.\n\n* Improve operational tooling (observability, debugging tools, downtime management).\n\n* Improve engineers’ development process and environments.\n\n* Improve visibility of and optimize cloud costs.\n\n\n\nRequirements\n\n\n* 6+ years of software engineering experience\n\n* Experience implementing modern software engineering best practices, such as CI/CD, shift-left testing, metrics/observability, code quality, and cloud environments.\n\n* Strong technical expertise in building, deploying, and operating web servers, specifically with AWS, NodeJS, TypeScript, and SQL.\n\n\n* Preferred technical experience: Terraform, PostgreSQL, Lambda, React, GraphQL.\n\n\n\n\n\n* Experience implementing and evangelizing metrics and monitoring tools across engineering functions.\n\n* Experience leading small teams of engineers to implement complex technical systems.\n\n* Product manager mindset to understand problems, research and propose solutions, and measure results.\n\n* Project management skills to ensure value is delivered iteratively at small intervals.\n\n* Change management skills to ensure system/process changes are effectively rolled out to the engineering organization.\n\n* Nice to have:\n\n\n* Experience operating production software in an environment with sensitive data, such as PII, PHI, or PCI.\n\n\n\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Junior and Engineer jobs that are similar:\n\n $62,500 — $117,500/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

\nLocation: Remote US\n\nAbout AlphaSense: \n\nAlphaSense is a market intelligence platform used by the world's leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, news, trade journals, and equity research. Our platform is trusted by over 3,500 enterprise customers, including a majority of the S&P 500. Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Finland, and India. For more information, please visit www.alpha-sense.com.\n\nAbout the Team:\n\nAlphaSense Product Development Organization is composed of great talent across Product, User Experience & Engineering – a team of creative technologists who drive the innovation, execution & delivery of our product every day.\n\nAt our core, we’re here as a partner to the broader business – which we do by identifying customer problems, understanding market needs, and devising ways to deliver world-class user experiences.\n\nAbout the Role: \n\nWe are seeking a hands-on SRE (Site Reliability Engineering) Engineering Manager who combines deep programming expertise with leadership skills to spearhead our SRE team. This role is uniquely positioned for someone who is passionate about reliability and safety, and who thrives in the trenches of software development and operational problem-solving. As an SRE Engineering Manager, you will not only set the strategic direction for system reliability but also roll up your sleeves to contribute code and technical solutions. Your mission will be to ensure our systems are scalable, reliable, and performant, directly contributing to our engineering efforts while leading the team towards excellence.\n\nYou will join our SRE team supporting our developers in taking care of the AlphaSense platform. The ideal candidate will have been a highly skilled engineer with knowledge of code and automation. The candidate will be working as part of the SRE team to champion and establish SRE culture in AlphaSense.\n\n\n* Mission: Elevate our product’s reliability to the level of precision associated with Swiss watch brands, targeting 99.99% uptime. Additionally, enhance existing systems and processes for optimal performance.\n\n* Collaboration: Engage closely with our engineering teams to comprehend their product requirements and contribute to the improvement of their software application build/test/deploy processes.\n\n* Responsiveness: Participate in an on-call rotation, promptly addressing AlphaSense availability incidents, and offering support for application engineers during customer incidents.\n\n* Documentation: Thoroughly document actions to transform findings into repeatable processes and, subsequently, into automation.\n\n* Troubleshooting: Debug production issues across various services and stack levels. software engineering, fostering an environment for continuous learning.\n\n* Performance Engineering: Spearhead efforts to enhance system performance by conducting performance testing and implementing resilient monitoring solutions for continuous tracking of system performance metrics. Assess and strategize for system scalability, proactively anticipating future resource demands.\n\n* Release Engineering: Release Engineering Management: Oversee the end-to-end release process, coordinating the planning, execution, and deployment of software releases. Implement best practices for version control, branching strategies, and release automation to ensure efficient and reliable software delivery. Collaborate with cross-functional teams to streamline release workflows, conduct pre-release testing, and facilitate seamless deployment, contributing to the overall stability and success of the software release lifecycle.\n\n\n\nWho You Are:\n\n\n* Experience working with public cloud providers - AWS/GCP/Azure\n\n* Experience working with on-call Incident Response solutions\n\n* Technical Proficiency: Strong experience in Kubernetes, Helm, Prometheus, Fluentd, Grafana, and other Cloud-Native solutions.\n\n* System Proficiency:\n\n\n* Master of designing simple, flexible, and reliable software components, enforcing the quality of team’s designs and providing quality feedback on designs of reliability objectives.\n\n* Fully understands the layers of the system and appropriate tooling for each one and knows when to engage peers when own knowledge isn’t adequate in one.\n\n* Deeply understands the systems at AlphaSense and how to optimize the lowest levels of the systems and where this is appropriate.\n\n* Deeply understands and can improve multiple of the major systems utilized at AlphaSense and is considered the expert on the systems.\n\n\n\n\n\n* System Design Proficiency:\n\n\n* Analyzes patterns in incidents and identifies improvements needed across AlphaSense in how we operate and design software.\n\n* Owns the core reliability of AlphaSense and identifies the appropriate failure domains for the company.\n\n* Makes correct technology choices for components needed as part of a larger architecture, including making build vs buy choices for specific components, and choosing frameworks.\n\n* You are empowered to take responsibility for the holistic health and engineering quality of systems within your domain. This includes identifying potential reliability risks, conducting routine health assessments, formulating a robust reliability strategy, and ensuring that the well-being and upkeep of the systems do not hinge on the maintainers possessing your specific expertise.\n\n* Capable of driving overall reliability strategy of significant systems with high reliability or quality requirements.\n\n\n\n\n\n* Communication Proficiency:\n\n\n* You are comfortable with being called to design software or systems in the face of high reliability risks, significant ambiguity or a large number of dependencies.\n\n* Works with cross-functional partners to discover novel technical solutions to business problems.\n\n\n\n\n\n* Programming Language Proficiency: Experience in one or more of the following: Java, Go, NodeJS, React, Python.\n\n\n\n\nAlphaSense is an equal opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.\n\nIn addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.\n\n \n\nBase Compensation Range*:  $213,000 - $236,000\n\nAdditional Components: You may also be offered a performance-based bonus, equity, and a generous benefits program.\n\n*For base compensation, we set standard ranges for all US-based roles based on function, level and geographic location, benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including geographic location as well as candidate experience/expertise and may vary from the amounts listed above. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud and Engineer jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

About Hightouch\nHightouch’s mission is to empower everyone to take action on their data. Through our Reverse ETL platform, business and data users can seamlessly sync data from where it resides, such as warehouses and databases, to where it is needed, including operational systems and SaaS tools. Traditionally, acting on data has required engineering time and bandwidth, and left most business users stuck with charts and reports that are unable to take automated action on their data. With Hightouch, every business user, without writing any code, can activate data to streamline critical processes, improve marketing performance, and scale operations.\nOur team operates with a focus on making a meaningful impact for our customers. We believe in approaching challenges with a first principles thinking mindset, moving quickly and embracing our value of efficient execution, and treating each other with compassion and kindness. We look for team members that are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.\nHundreds of companies use Hightouch, including Spotify, Ramp, Retool, NBA, Plaid, and Betterment. We’re based in San Francisco, are remote-friendly, and backed by leading investors such as Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.\nAbout The Role \n\nHightouch is looking for a Senior Analytics Engineer to drive our business forward. In this role, you’ll be responsible for maintaining and improving our current data stack (Fivetran, Snowflake, dbt, and of course… Hightouch) as well as driving insights to key stakeholders across our team. \n\nWe anticipate that in this role you’ll spend 60% of your time building and maintaining models and reports and 40% of the time interfacing with stakeholders to deeply understand their needs and surface insights. \n\nHow to know this role is for you? If your first question when reading the newest dbt release notes is “what business problem could this solve?” then you might be a great fit.\nHow you'll spend your time \n\n\nBe responsible for the uptime, quality/integrity, and cost of our data stack (which currently includes Fivetran, dbt, Snowflake, Looker, Hex, and Hightouch - and could include whatever you think is best!)\n\nBuild strong relationships with stakeholders across Hightouch to ensure that: 1. we’re tracking the right information in our product and operational systems to best understand our business, 2. we’re delivering analysis that drives clear visibility into our KPIs, and 3. our data is driving actionable business results, all with the urgency that our rapidly-growing startup deserves\n\nDefine and maintain our data team coding standards/style guide - what should our code look like, what are best practices, and why?\n\nHelp us become a Data team that inspires other Data teams - give feedback to our Product organization on Hightouch itself, and provide guidance/mentorship to customer teams about their use of Hightouch and potentially other technical topics via consulting sessions and blogposts\n\n\n\nAbout you\n\n\n2+ years of experience with Fivetran, Snowflake, and dbt \n\nDemonstrated ability to understand business stakeholders’ needs and translate those into additional data visibility and/or improved reporting \n\nA drive to find the right tool for the right job - while you’re passionate about being up-to-date with the latest technologies, business needs come before having the slickest technology stack\n\nSpecial note: if your title doesn’t have “engineer” in it today - please don’t hesitate to apply! We’d especially love to speak to folks who have transitioned into the data world from another analytical field (e.g., finance, revenue operations, or performance marketing)\n\n\n\nCompensation\n\nHightouch’s salary range for this position is $165,000 - $200,000 USD per year.\n\nAt Hightouch, we value impact over years of experience when it comes to your role and compensation. Your compensation is based on our assessment of your interview performance, which our recruiting partner and hiring manager will walk you through when you receive an offer.\n\nSalary is just one component of Hightouch’s total compensation package for employees. We also offer a generous equity package for all of our full-time employees, as we believe being an owner of Hightouch is incredibly important. See below for more information on our benefits and perks. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, Consulting, Senior, Marketing and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States