\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\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, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/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\nUnited States

Postscript Description\n\nPostscript is redefining marketing for ecommerce companies. By introducing SMS as an entirely new channel for ecommerce stores to engage, retain, and convert their customer base, brands are seeing huge ROI with Postscript. Backed by Greylock, Y Combinator and other top investors, Postscript is growing fast and looking for remarkable people to help build a world class organization. \n\n \n\nJob Description\n\nAs a Senior Data Engineer for the Data Platform team at Postscript, you will provide the company with best in class data foundations to support a broad range of key engineering and product initiatives. The Data Platform team at Postscript focuses on data integration through various sources like our production application and various 3rd party integrations. You will focus on designing and building end to end data pipeline solutions: data ingestion, propagation, persistence, and services to support both our product and our internal BI organization. This role is critical in ensuring data and events are reliable and actionable throughout the Postscript Platform.\n\n \n\nPrimary duties\n\n\n* Design and build performant and scalable data systems with high scale\n\n* Architect cloud native data solutions in AWS\n\n* Write high quality code to make your software designs a reality\n\n* Build services to support our product with cross domain data\n\n* Advise the team and organization on Data Engineering best practices to level up our competency in the organization\n\n* Mentor and support your fellow engineers via code reviews, design reviews and peer feedback\n\n\n\n\nWhat We’ll Love About You\n\n\n* You’re a polyglot technologist who is passionate about data problems at scaleYou have a proven track record designing and implementing complex data systems from scratch\n\n* You’ve built data engineering solutions in an AWS environment and have working experience with several AWS services (Lambda, Redshift, Glue, RDS, DMS, etc.)\n\n* You have several years (5+) of experience writing high quality production code, preferably in Python or Go\n\n* You have a broad range of experience with data persistence technologies (RDBMS, NoSQL, OLAP, etc.) and know how to select the right tool for the job\n\n* You’ve worked in event driven systems and have experience with technologies like Kafka, Kinesis, RabbitMQ, etc.\n\n* You’ve gotten your hands dirty with infrastructure and have used infrastructure as code technologies like Terraform\n\n* You’re comfortable with ambiguity and like to dig into the problems as much as you love creating solutions\n\n\n\n\nWhat You’ll Love About Us\n\n\n* Salary range of USD $170,000-$190,000 base plus significant equity (we do not have geo based salaries) \n\n* High growth startup - plenty of room for you to directly impact the company and grow your career!\n\n* Work from home (or wherever)\n\n* Fun - We’re passionate and enjoy what we do\n\n* Competitive compensation and opportunity for equity\n\n* Flexible paid time off\n\n* Health, dental, vision insurance\n\n\n\n\n \n\nWhat to expect from our hiring process :\n\n\n* Intro Call: You’ll hop on a quick call with the Recruiter so we can get to know you better — and you can learn a little more about the role and Postscript. \n\n* Hiring Manager Intro: You’ll hop on a quick call with the Hiring Manager so your future Manager can get to know you better — This is a great time to learn more about the team & position. \n\n* Homework Assignment: We will send over an exercise that challenges you to solve a problem & come up with a creative solution, or outline how you've solved a problem in the past. Get a feel for what you’ll be doing on a daily basis!\n\n* Virtual Onsite Interviews: You’ll be meeting with 2-4 team members on a series of video calls. This is your chance to ask questions and see who this role interacts with on a daily basis.\n\n* Final FEACH Interview: This is our interview to assess your ability to represent how you work via our FEACH values. As we bui in ld the #1 team in Ecommerce, we look for individuals who embody FEACH professionally and personally. We want to hear about this in your final interview!\n\n* Reference Checks: We ask to speak with at least two references who have previously worked with you, at least one should be someone who has previously managed your work.\n\n* Offer: We send over an offer and you (hopefully) accept! Welcome to Postscript!\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, Python, Recruiter, Video, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n $57,500 — $87,500/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\nColumbus, Ohio, United States

\nLivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.  \n\nAt LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success, nd reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about.\n\nWe are a remote organization, but we value the opportunity to bring our teams together for offsite events, team collaboration, and training sessions. Therefore, we are looking for candidates who are based in Poland and are willing to come into the office for these activities. If this aligns with your situation and preferences, we encourage you to apply for this role.\n\nOverview:\n\nOur global DevOps team is growing rapidly, requiring a manager to lead and collaborate across the US, EMEA, and APAC regions to support our datacenter and cloud environments. This team focuses on the stability and reliability of our global infrastructure by leveraging existing standards, processes, and automation solutions. The DevOps Engineer Manager will oversee a team of engineers, serve as a domain expert in networking technologies, and support both datacenter and cloud infrastructure.\n\nYou will:\n\n\n* Lead and manage projects, changes, and incident resolutions.\n\n* Make strong decisions in high-pressure, fast-paced environments.\n\n* Develop, maintain, and support data center and cloud technologies across our global infrastructure, including routing, switching, and cloud technologies.\n\n* Oversee the implementation of changes, upgrades, and preventative maintenance.\n\n* Troubleshoot hardware, software, and vendor incidents to resolution, and identify remediation improvements.\n\n* Develop and leverage automation and monitoring tools to maximize visibility and recovery.\n\n* Communicate and collaborate across teams and levels to manage projects or incidents.\n\n* Mentor and guide team members to enhance their technical skills and professional growth.\n\n\n\n\nYou have:\n\n\n* Strong working knowledge in configuring and troubleshooting routing protocols (BGP, OSPF, and static).\n\n* Extensive experience with data center and cloud-based networking technologies and infrastructure (LAN, WAN, firewall, SDWAN, BGP, DNS, load balancing, VPN, etc.).\n\n* Experience with Arista and Cisco configurations and maintenance.\n\n* Deep understanding of network protocols and services.\n\n* Extensive experience in Linux environments and enterprise distros.\n\n* Experience with software development and strong scripting skills.\n\n* Experience with Palo Alto firewall configurations and maintenance.\n\n* Experience with F5 LTM and AFM configurations and maintenance.\n\n* Experience with networking and securing Kubernetes with Calico.\n\n* Experience with cloud technologies and IaC deployments.\n\n* Experience with GCP, AWS, Azure cloud environments (Certifications preferred).\n\n* Experience with virtual and containerized deployments in both data center and cloud.\n\n* Experience with Kubernetes and GKE deployments and networking elements (CNI, Istio, Calico).\n\n* Experience with CI/CD pipeline components, support, functionality, and tools.\n\n* Experience with version control concepts and operations (Git).\n\n* Experience with data formats XML, JSON, YAML and parsing with Python data structures.\n\n* Experience working within an Agile development environment.\n\n* Experience with webhooks, API styles, HTTP response codes, and authentication mechanisms.\n\n* Experience with Ansible deployments and creating Ansible playbooks.\n\n* Experience with Jenkins and parameterization.\n\n* Use of automation tools and modules (Rundeck/Puppet/Terraform).\n\n* Experience with Network Automation and Programmability Abstraction Layer with Multivendor (NAPALM) framework.\n\n* Leverage model-driven programmability within an Arista networking environment.\n\n* Experience with cloud infrastructure such as Compute, Network, Storage, and Backup.\n\n* Understand the need to organize code into methods, functions, classes, and modules.\n\n* Experience with monitoring performance metrics and KPIs.\n\n\n\n\nAdditional Requirements:\n\n\n* Collect feedback and requirements from design and technical staff.\n\n* Create diagrams, business cases, and architectural design documents.\n\n* Support on-call and weekend rotation as needed.\n\n* Collaborate with cross-functional teams.\n\n* Able to handle stressful situations with a level-headed approach.\n\n* Excellent verbal and writing skills (English).\n\n\n\n\nNOTE: This is position in Poland. Please apply only if you are in Poland\n\nBenefits: \n\n\n* Health: medical, dental, and vision\n\n* Development: Native AI learning\n\n\n\n\n#LI-Remote\n\nWhy you’ll love working here:\n\nAs leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. \n\nBelonging at LivePerson: \n\nWe are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.\n\n We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.\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, Python, DevOps, Cloud, API and Engineer jobs that are similar:\n\n $57,500 — $92,500/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\nKatowice, Silesian Voivodeship, Poland

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

\nAbout the Role:\n\nYou will be joining a high-performing team that is at the heart of Self Financial’s  Mobile App and Web Experience.  The ideal candidate should have a passion for creativity, quality, and delivering an innovative user experience to our large scale customer base.  The ideal candidate should be used to working in a fast-paced, Agile Team-of-Teams, environment that continuously delivers new features and updates to our test and production environments.  You will work with your team lead, engineering manager, development team and product manager to bring an amazing frontend experience to our customers. \n\nWhat you'll do:\n\n\n* You will implement a user experience that can be seamless for Android, iOS, and Web users.\n\n* You will integrate the front-end elements with our Rest APIs and other 3rd-party services.\n\n* You will develop the services and infrastructure needed to provide essential customer-facing solutions at a massive scale.\n\n* You will work with designers, product managers and other team members in brainstorming new ideas, developing features, gathering feedback and iterating, thereby providing impactful improvement to our products.\n\n* You will report to an engineering manager and work with our amazing and diverse team of professional engineers.\n\n\n\n\n \n\nWhat you’ll have:\n\n\n* 5+ years of software engineering experience.\n\n* Experience in HTML, CSS, JavaScript, React and related web technologies.\n\n* Experience with the development of Python code (or related languages) in a production environment.\n\n* Experience building and consuming APIs to work with other services using REST.\n\n* Proficiency with SQL and relational databases such as PostgreSQL.\n\n* Experience with common software engineering tools such as Git (or other VCS), JIRA, Confluence and similar platforms. \n\n* Experience working in an Agile environment is a plus\n\n* Experience in the container orchestration space (Docker, Kubernetes) is a plus\n\n* Experience with AWS and cloud architectures/services is a plus.\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 React, Python, Finance, Cloud, Git, Mobile, Senior and Engineer jobs that are similar:\n\n $62,500 — $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\nAustin, Texas, United States

\nJoin Verusen as an Onboarding Specialist! The Onboarding Specialist is an integral part of  Verusen’s Onboarding Team, a team dedicated to working directly with the customer to transfer, load, and transform their data into the Verusen platform.  As an Onboarding Specialist on the Onboarding Team, you will lead customers through the functional and technical work that goes into onboarding a new customer.\nResponsibilities\nFunctional Lead on Customer Onboardings:\n\n\n* Designated lead on customer onboardings, responsible for working with the customer to transform, load and map their data into our dev and prod environments \n\n* Utilizes dbt and SQL to map and transform customer data to the Verusen platform schema\n\n* Advocates for the customer, serves as project manager on onboardings, drives projects to an on-time completion, and works cross-functionally to continuously improve our internal operations\n\n* QA of data and configuration during an onboarding by conducting unit test cases and developing and running SQL pre and post transformation queries for data validation\n\n* Assesses functional requirements with the customer and serves as project manager through the design and implementation of automated data transfer solutions, including cloud connectors, on-prem connectors, and python scripting\n\n* Assist with design of automated data transfer solutions including cloud connectors, on-prem connectors, and python scripting\n\n* Will engage with the customer in later phases to lead efforts around additional data sources, plants, etc. \n\n\n\nPre-Sales Support:\n\n\n* Supports the pre-sales process by facilitating the discovery of functional and technical data requirements\n\n* Works with the sales engineer by conducting data transfer conversations with the customer’s IT team, including automated data feed options\n\n* Ingests subsets of customer data and transforms to a schema utilized for data analysis\n\n* Acts as the primary point of contact once the customer deal has been signed to begin the kickoff process for data onboarding\n\n\n\nProduct-Level Subject Matter Expertise:\n\n\n* Develop a comprehensive understanding of our enterprise software platform, its features, and its benefits.\n\n* Utilize product knowledge to lead customer conversations during the onboarding phase around customer needs and wants for the Verusen platform\n\n* Understanding of how our product utilizes customer data to assess customer data capabilities to match our own software requirements\n\n* Ability to work closely with the product and engineering teams around data gaps, feature requests, and customization needs\n\n\n\nQualifications\n\n\n* 1-3 years of experience as an enterprise software technical product implementation consultant or business analyst\n\n* Experience assessing requirements and capabilities of EAM or ERP softwares (SAP, Oracle, Maximo, Infor, etc.)\n\n* Strong technical analysis of data with SQL and customer systems architecture for data ingest and transformation\n\n* Familiar with tools/systems including dbt, jira, gitlab, snowflake, databricks\n\n* Ability to manage multiple projects including timelines, resource management, and competing priorities\n\n* Ability to lead conversation with customers and present product concepts, strategy, and vision \n\n* Knowledgeable of and experience in Supply Chain or Inventory Management is a nice to have\n\n\n\n\nAbility to adapt to fast-moving and changing environment as the team and our product grows\n\n\n\nWe are seeking a highly skilled and motivated Sales Engineer to join our dynamic team as we continue to grow and expand our presence in the enterprise software market. As a Verusen Sales Engineer, you will play a critical role in driving revenue growth by collaborating with Account Executives to secure new business and ensure customer success.\n\nResponsibilities:\n\nSales Support:\n\n\n* Assist Account Executives in sales calls, solution presentations, and demos to understand customer requirements.\n\n* Take joint ownership of assigned accounts/opportunities with Account Executives on MRO and Supply Chain issues issues.\n\n* Provide input and coordinate internal resources for RFI and RFP responses.\n\n* Lead and facilitate discovery and scoping sessions with clients.\n\n* Respond to customer questions and objections on MRO and Supply Chain issues.\n\n* Manage expectations with prospects, customers, and internal stakeholders.\n\n* Work with Account Executives and our delivery team to develop customer demonstrations and health checks and business cases.\n\n* Coordinate and collaborate closely with internal teams (Product Management, Engineering, Customer Success and Onboarding) to 1) participate in the sales process and 2) build appropriate sales support tools as necessary.\n\n\n\n\nSubject Matter Expertise in MRO Supply Chain:\n\n\n* Demonstrate an in-depth understanding of the Maintenance, Repair, and Operations (MRO) supply chain domain. (i.e., understanding of concepts such as Criticality, Service Level and Asset Maintnence)\n\n* Act as the key resource for MRO supply chain knowledge, industry trends, and challenges.\n\n* Collaborate with Account Executives to address MRO supply chain pain points using our software solutions.\n\n\n\n\nProduct-Level Subject Matter Expertise:\n\n\n* Develop a comprehensive understanding of our enterprise software platform, its features, and its benefits.\n\n* Utilize product knowledge to effectively communicate the value proposition and competitive advantages to prospects and customers.\n\n* Customize product demonstrations and presentations to align with customer needs and objectives.\n\n\n\n\nHand-off between Sales and Customer Success/Onboarding:\n\n\n* Act as the internal primary point of contact during the hand-off process from sales to customer success/onboarding teams for closed and won deals.\n\n* Collaborate with Customer Success Managers and Onboarding Specialists to facilitate a seamless transition for new customers.\n\n* Provide guidance and advisory support to the project team on implementation approach and complex configuration issues.\n\n* Participate in QA checkpoints during delivery to ensure the solution aligns with the original scope.\n\n* Contribute to estimating and SOW templates.\n\n\n\n\nQualifications:\n\n\n* Minimum of 5 years of experience as a Sales Engineer or Engineer within the enterprise software industry.\n\n* Strong background (10+ years) in the MRO supply chain domain, with demonstrated expertise and knowledge of related processes, challenges, and technologies.\n\n* Proven track record of success in driving and closing enterprise software sales deals.\n\n* Excellent presentation and communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders.\n\n* Strong organizational and project management skills, with the ability to handle multiple priorities and meet deadlines.\n\n* Collaborative mindset and ability to work effectively as part of a cross-functional team.\n\n\n\n\nBachelor's degree in a relevant field (e.g., Computer Science, Engineering, Business) or equivalent work experience.\n\n\n\nWhat We Offer:\n\n\nCompetitive compensation including equity incentives\n\nA key founding team role as part of an exciting growth journey\n\nExcellent benefits including medical, dental, vision, 401K and flexible PTO\n\nGreat work-life balance\n\nLearning from the best - passionate co-workers and a hands-on and engaged leadership team\n\nGreat colleagues and a social working environment \n\nWork that matters\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, Python, Cloud, Sales and Engineer 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\nAtlanta, Georgia, United States

Who You Are\n\nAs an AI Controls Solutions Engineer, you'll play a critical role in operationalizing and scaling Phaidra's solutions for enterprise data center customers.\nResponsibilities\n\nYou will work closely with the Technical Account Managers (TAMs) and Data Scientists, as the technical experts for Phaidra's customers. Your role is to use Phaidra's platform and tools to put AI into production.\n\nThis role can be broken down into two concrete areas of responsibility:\n\n\n* As the subject matter expert, (SME), you will use Phaidra’s products and your knowledge of the customers' needs to create a model of the facility for ingestion by the AI Agent. This will require working closely with our AI research team as they create the algorithms that turn sensor data into actionable insights. You will work closely with Phaidra's customers to help them get the most out of our technologies, crisply defining the AI problem (objective function, actions, constraints), understanding the technology's capabilities and limitations, identifying opportunities for value creation, and rapidly deploying solutions to production using Phaidra's platform and tools.\n\n* You will work with the product team to identify and define product requirements based upon each customer’s specification and needs. You will work closely with other AI Controls Solutions Engineers and the Product team to ensure our automated tools enable Phaidra to scale across thousands of customers.\n\n\n\n\n*This role can include 25% travel\n\nWe are seeking a team member located within one of the following areas: United States, Canada, India, and Singapore. Candidates from other APAC countries will also be considered. \nKey Qualifications\n\n\n* Knowledge of chiller plant fundamentals, configurations, and sequence of operations.\n\n* Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics.\n\n* Experience designing, programming, or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus.\n\n* Deep understanding of data center specific controls and cooling methodologies.\n\n* Understanding the applications and control strategies of air side chilled water and direct expansion cooling systems.\n\n* Strong proficiency in working with data center operations teams and contributing to solving field operations related problems and challenges.\n\n* Ability to analyze the performance and viability of your engineered solutions.\n\n* Passion for problem solving and using scalable solutions to solve repeat problems.\n\n* Ability to translate a combination of customer-stated and customer-implied needs into coherent needs documentation for use by the software development team.\n\n* Good educational background in one or more related disciplines pertinent to your area of expertise. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields.\n\n* Ability to read and write Python scripts (in collaboration with the software engineering team) to implement Phaidra's AI development tool for customer use cases.\n\n* Excellent communication skills. Ability to explain complex domain specific concepts to non-domain experts and also explain complex AI and ML specific concepts to non-AI/ML specific customers.\n\n* Shares our company values: curiosity, transparency & directness, outcome-based performance, and customer empathy.\n\n\n\nHelpful Skills & Experience\n\n\n* Experience using scrum and agile methodologies.\n\n* Experience with rapidly prototyping new technologies and converting into commercially viable products.\n\n* Experience building, owning, and operating your own codebases/services.\n\n* Experience architecting services within cloud platforms.\n\n* Experience applying AI and ML in controls applications.\n\n* Experience with statistics, analytics, etc.\n\n* Experience with domain relevant optimization problems and solutions.\n\n* Familiarity with markup languages like Xml, Json, or Yaml.\n\n\n\nOnboarding\n\nIn your first 30 days...\n\n\n* You will have a solid understanding of what Phaidra does and how we do it.\n\n* You will have met with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will have become proficient at navigating the Customer Success team’s processes and software tools.\n\n\n\n\nBy your first 60 days...\n\n\n* You will introduce yourself to our customers\n\n* You will understand our customer onboarding process\n\n* You will dig into Atlas, our project workflow tool\n\n* You will build a toy system from scratch\n\n\n\n\nBy your first 90 days...\n\n\n* You will participate in troubleshooting issues\n\n* You will participate in customer onboarding and new system creation\n\n* You will contribute to code repository\n\n* You will create and refine business processes\n\n* You will attend site visits\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)\n\n* Meeting with the Hiring Manager (60 minutes)\n\n* Meeting with Technical Accounts Manager (30 minutes)\n\n* Meeting with Solutions Engineer (30 minutes)\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes)\n\n\nBase Salary Range\n\n\n* Singapore Residents: S$138,400 - S$207,600/year\n\n* India Residents: ₹2,828,800 - ₹4,232,200/year\n\n* United States Residents: $113,600- $206,400/year\n\n\n\n\nThis position will also include equity.\n\nThis is a best faith estimate 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 Python, Cloud and Engineer 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\nSingapore

\nDiscord is about giving people the power to create space to find belonging in their lives. Trusted by millions of people to keep their communications secure, private, and out of the hands of evildoers, security and privacy are necessary to Discord's success.\nWe are looking for a Senior Security Engineer, Platform Security reporting to the Platform Security Engineering Manager to join us in building a secure and private platform for Discord's users. If you are a Security Engineer with a passion for security and privacy, a deep sense of curiosity, and an endless desire to improve Discord, read on!\nWhat you’ll do:\n\n\n* Perform reviews ranging from architectural design to threat modeling and source code level assessments, providing recommendations to make our platform and infrastructure more secure\n\n* Secure our software supply chain; all the way from a developer’s laptop, through version control, CI/CD, and into production\n\n* Work with our Detection and Response team to ensure that we’re adequately monitoring the security of the systems that Discord builds.\n\n* Develop automation to scale the capabilities of yourself and our team as we build.\n\n* Develop best-in-class secure baselines for cloud and bare-metal resources.\n\n* Partner with Anti-Abuse and Trust & Safety to improve our ability to yeet and delete bad actors from Discord\n\n\n\nExample Projects:\n\n\n* Build automated tooling to across our infrastructure for vulnerabilities including container images and infrastructure-as-code\n\n* Design and implement security controls for a next-generation developer platform for building apps and services at Discord\n\n* Partner with Engineering to design and build authentication in service-to-service communication\n\n* Expand our malware detection capabilities to build a safer Discord\n\n\n\nWhat you have:\n\n\n* You have 5+ years experience building and/or securing production systems and infrastructure.\n\n* You have 3+ years of experience as a Security Engineer working on systems with millions of users.\n\n* You have 3+ years of experience programming in at least one general purpose programming language (we mainly use Python and Rust, but your experience with other languages is great, too!)\n\n* You have experience building images for deploying code (e.g. Docker images)\n\n* You have experience securing cloud-based environments (we use Google Cloud).\n\n* You have experience with infrastructure-as-code tooling (we use Terraform).\n\n* You have experience with container orchestration technologies (e.g. Kubernetes).\n\n* You have experience with serverless technologies (e.g. Cloudflare Workers)\n\n\n\nBonus Points:\n\n\n* Experience building and operating a service mesh (e.g. Envoy, Istio, Linkerd).\n\n* Experience with or an understanding of modern authentication and authorization protocols and concepts (OAuth 2.0, OIDC, WebAuthn/FIDO2, Zero Trust, mTLS).\n\n* Experience building complex applications and services on top of Google Cloud Platform\n\n\n\n\n \n\nNew York City only: Minimum salary of $186,000/year + equity and  benefits \n\n*Note: Disclosure as required by NYC Pay Transparency Law\n \nColorado only: Minimum salary of $148,800/year + equity and  benefits \n*Note: Disclosure as required by sb19-085(8-5-20). \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Scrum, Git, Typescript, Angular, Ruby, Senior, Digital Nomad, Python, Docker, Serverless, Cloud and Engineer jobs that are similar:\n\n $70,000 — $120,000/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