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

Are you interested in joining a diverse and international team within a rapidly growing clean-tech startup? Do you enjoy gluing systems together to build cool interactions? Are you the bringer of order, slayer of chaos? Sounds like a match!\n\n\n**About us**\nWe are Brenger and we’re building a sustainable transportation platform that solves the inefficient way of transporting bulky goods by optimizing the utilization of every van on the road which reduces the CO2 emission along the way. You’ll be joining a strong and diverse development team of 11 people (7 developers, 1 data scientist, 1 designer, 1 product owner, 1 QA engineer). We’re light on meetings, our Scrum ceremonies are on a predefined schedule. We use GitLab for issue tracking (simplicity is a virtue), Slack+Google Meets for video calls, Slack for async communications. Email load is light for devs, meetings are banned on Wednesdays and Thursdays.\n\n\n**Your role**\nDesign, develop and maintain a suite of integrations with third party services.\nOperate the integrations (in a devops fashion), build resiliency, make sure looking after them is boring as possible\nCooperate with the internal development team to evolve the systems linked to your integrations.\nThe ideal candidate is the type who enjoys the adventures of building resilient/antifragile software and takes pride in building good architectures while doing so.\n\nThe parts of the tech stack you would be working with:\n* Microservices built with Python 3.8 and deployed on AWS Lambda\n* A React web app for the embedded customer flows\n* Symfony 4-based core backend exposing a REST API\n* GitLab CI (along with most of GitLab’s other parts\n\nWe have got a core backend (PHP 7.4) facilitating the general lifecycle of transports in cooperation with domain-oriented microservices (all Python 3.8) and React based frontends. We are now looking for someone who will build a solid suite of integrations mostly in Python, and is fluent in React+TypeScript (or equivalent) to be able to build the integration-specific GUIs along the way.\n\nThere are things we do not do, like unproductive merge/pull request discussions regarding coding standards and style which we avoid by enforcing them in CI. Instead, we always welcome improvements regarding architecture, programming, and operations practices: anything that strengthens our workflows.\n\n**Your skills**\n* 5+ years of experience using Python, React and TypeScript\n* Creating integrations with Rest APIs\n* Competent using git and issue trackers in team workflows\n* Experience working in a remote team\n* Good English skills, both written and spoken\n[Extra] Experience working in startups\n[Extra] Exposure to logistics and less-than-mainstream e-commerce protocols\n\n**What we offer**\nAt Brenger we work hard every day to keep Brenger growing and we celebrate our successes, big and small. You will work remotely within CEST (+/- 1hour) but will definitely feel part of a vibrant and ambitious team. In addition to a competitive salary we offer you the chance to visit our HQ based in Amsterdam during your onboarding and the opportunity to be a self starter within a dynamic work environment with a lot of freedom to take ownership. \n\nPlease mention the word **MARVELED** when applying to show you read the job post completely (#RMy4xNDQuMTUzLjIwNA==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n $20,000 — $40,000/year\n
\n\n#Benefits\n ⏰ Async\n\n
\n\n#Location\nEurope, (CEST +/- 1hour)

\nBasil Systems is a healthcare-focused start-up delivering a SaaS application that leverages product, market and regulatory data to support all types of players in the medical device and pharmaceutical industries.  Our goal is to help our customers deliver safe and innovative healthcare products to patients and consumers, while reducing the time to get to market.  After 14 months of stealth development, we soft launched in late December 2020 to a very positive market reception and customers.\n\nIn short, Basil is a funded, revenue generating, and growth-oriented company – and we are actively seeking talented engineers to build and deliver an extensive roadmap of amazing features.  We need a Sr. backend engineer excited by multifaceted data challenges, and with the ability to design, build, and deploy stable and scalable production software.\n\nSr. Backend Engineer\n\nWe are looking for a self-starter; you’ll spend your time building reliable backend services and solving complex data processing problems. We would like you to have:\n\n\n* 5+ years professional experience as backend or data engineer\n\n* Very strong skills experience with modern Python (3.8+), MongoDB (particularly 4.2+), and MySQL or MariaDB\n\n* Significant experience with AWS services, operations and architecture, especially with respect to data heavy applications\n\n* Spent time building and managing ETL pipelines\n\n* Familiarity with recent versions of Elasticsearch\n\n* Strong DevOps experience, with a commitment to engineering best practices \n\n\n\n\nNot all of these are required, but ideally you have experience with:\n\n\n* Typescript / ES (Node)\n\n* Golang\n\n* Docker & Kubernetes\n\n* Terraform\n\n* Solid understanding of modern security practices\n\n* CI/CD\n\n\n\n\nSome nice to haves\n\n\n* You have worked with, reconciled and normalized disparate data sets\n\n* Natural language processing (NLP) experience\n\n* Strong data modeling skills, and an eye for what the data means in a business and product context\n\n* Interest in machine learning, and experience building ML-driven or algorithmic data products\n\n* Some exposure to product analytics data pipelines and basic understanding of AB testing\n\n\n\n\nFinally\n\nWe are a distributed team headquartered in Boston, with an office in Nashville, TN.  However, our culture allows flexibility as to when, where and how you work best – and actively employ and support remote engineers.\n\nBenefits include:\n\n\n* Competitive salary\n\n* Health and vision\n\n* An attractive equity package \n\n\n\n\nBasil supports and encourages building a work environment that is diverse, inclusive, and safe for everyone -- and we welcome all applicants. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Engineer, Backend, DevOps, Python, SaaS and Medical jobs that are similar:\n\n $75,000 — $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

RevenueCat is looking to bring on our first engineer focused on keeping our servers happy as we scale and to help other engineers to not bring them down. We're already processing 100M+ requests per day and expect to be close to a billion by the end of the year. As the first infrastructure engineer at a small, growing company, you'll own everything from sharding Postgres and uptime, to on-call rotations and security.\n\n### About Us\nRevenueCat is an API that makes selling subscriptions in your mobile app easy. We launched as part of Y Combinator's summer 2018 batch and today are tracking subscriptions for more than 2 million mobile subscribers, and our providing subscription infrastructure for over 1000 apps. We are a mission driven, remote-first company that is building for the long term.\n\n### Our Stack\nRevenueCat consists of a mobile SDK and web dashboard that make calls via a REST API to a Python backend backed by Postgres. We use Heroku and AWS for most of our infrastructure right now, but we are constantly evolving as we scale and add new features.\n\n### About You\n- You have at least few years experience working as an SRE, DevOps Engineer, or Operations Engineer.\n- You've worked with scaling relational database systems beyond 1000s of queries per second.\n- You are no stranger to the AWS dashboard and can name all 76 products from memory (just kidding about the second part, but if you can we'd be impressed but also confused).\n- You have excellent communication skills and excited to working with a fully distributed and asynchronous team.\n- You have experience designing internal developer experiences with regards to processes and practices.\n\n### In the first month, you'll\n- Learn the current state of our system architecture, the shape of our traffic, and cost structures for scaling.\n- Understand and begin to improve our current systems for monitoring and observability.\n- Identify simple improvements to our deployment process and implement them.\n- Review our past years worth of post mortems and begin to prioritize changes based on our history\n\n### Within the first 3 months, you'll\n- Be responsible for overseeing and monitoring overall system health.\n- Make meaningful improvements to our infrastructure configuration, security, and management.\n- Own our on-call procedures and scheduling.\n- Make meaningful improvements to our deployment process that increases deployment velocity while also reducing errors.\n- Mentor the rest of the team on reliability and security.\n\n### Within the first 6 months, you'll\n- Become the most knowledgeable person on the team about our infrastructure.\n- Have an advanced intermediate understanding Postgres and other systems that we are highly reliant on.\n- Have made significant improvements to the way we ship and monitor code.\n\n### Within the first 12 months, you'll\n- Work with CTO and CEO to determine hiring needs and plans to scale our infrastructure team.\n- The ability to design and build systems to achieve any reasonable product goal.\n\n### What we offer\n- $114k-$150k 0.35%-0.65%, independent of location\n- Employee health, vision, and dental plans\n- Unlimited vacation, remote work, and WFH\n- A wellness-focused, long-term oriented work environment \n\nPlease mention the words **MEMBER SESSION ROUND** when applying to show you read the job post completely (#RMy4xNDQuMTUzLjIwNA==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, Python, API, Mobile, Heroku and Backend jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n ⏰ Async\n\n🏖 Unlimited vacation\n\n
\n\n#Location\nWorldwide

\nOpportunity\n\nSecurityScorecard is hiring a DevOps Engineer to bridge the gap between our global development and operational teams who is motivated to help continue automating and scaling our infrastructure. The DevOps Engineer will be responsible for setting up and managing the operation of project development and test environments as well as the software configuration management processes for the entire application development lifecycle. Your role would be to ensure the optimal availability, latency, scalability, and performance of our product platforms. You would also be responsible for automating production operations, promptly notifying backend engineers of platform issues, and checking long term quality metrics.\n\nOur infrastructure is based on AWS with a mix of managed services like RDS, ElastiCache, and SQS, as well as hundreds of EC2 instances managed with Ansible and Terraform. We are actively using three AWS regions, and have equipment in several data centers across the world.\n\nRegions: North America (GMT-7.00) Mountain time - (GMT-4.00) Atlantic time\n\nResponsibilities\n\n\n* Training, mentoring, and lending expertise to coworkers with regards to operational and security best practises. \n\n* Reviewing and providing feedback on GitHub Pull Requests to team members AND development teams- a significant percentage of our Software Engineers have written Terraform.\n\n* Identifying opportunities for technical and process improvement and owning the implementation. \n\n* Championing the concepts of immutable containers, Infrastructure as Code, stateless applications, and software observability throughout the organization.\n\n* Systems performance tuning with a focus on high availability and scalability.\n\n* Building tools to ease the usability and automation of processes\n\n* Keeping products up and operating at full capacity\n\n* Assisting with migration processes as well as backup and replication mechanisms\n\n* Working on a large-scale distributed environment where you were focused on scalability/reliability/performance\n\n* Ensuring proper monitoring / alerting are configured\n\n* Investigating incidents and performance lapses\n\n\n\n\nCome help us with projects such as…\n\n\n* Extending our compute clusters to support low latency, on-demand job execution\n\n* Turning pets into cattle\n\n* Cross region replication of systems and corresponding data to support low latency access\n\n* Rolling out application performance monitoring to existing services, extending integrations where required\n\n* Migration from self hosted ELK to a SaaS stack\n\n* Continuous improvement of CI/CD processes making builds & deployments faster, safer, and more consistent\n\n* Extending a Global VPN WAN to a datacenter with IPSec+BGP\n\n\n\n\nRequirements\n\n\n* 3+ years of DevOps and/or Operations experience in a Linux based environment\n\n* 1+ years of production environment experience with Amazon Web Services (AWS)\n\n* 1+ years using SQL databases (MySQL, Oracle, Postgres)\n\n* Strong scripting abilities (bash/python)\n\n* Strong Experience with CI/CD processes (Jenkins, Ansible) and automated configuration tools (Puppet/Chef/Ansible)\n\n* Experience with container orchestration (AWS ECS, Kubernetes, Marathon/Mesos)\n\n* Ability to work as part of a highly collaborative team\n\n* Understanding of monitoring tools like DataDog\n\n* Strong written and verbal communication skills\n\n\n\n\nNice to Have\n\n\n* You knew exactly what was meant by "Turning pets into cattle"\n\n* Experience working with Kubernetes on bare-metal and/or the AWS Elastic Kubernetes Service.\n\n* Experience with RabbitMQ, MongoDB, or Apache Kafka.\n\n* Experience with Presto or Apache Spark.\n\n* Familiarity with computation orchestration tools such as HTCondor, Apache Airflow, or Argo.\n\n* Understanding of network concepts- OSI layers, firewalls, DNS, split horizon DNS, VPN, routing, BGP, etc.\n\n* A deep understanding of AWS IAM, and how it interacts with S3 buckets.\n\n* Experience with SAFe.\n\n* Strong programming skills in 2+ languages.\n\n\n\n\nTooling We Use\n\n\n* Data definition, format and interfaces\n\n\n\n* Definitions - Protobuf V3\n\n* Normalize from - JSON / XML / CSV\n\n* Normalize to - Protobuf / ORC\n\n* Interfaces - REST API(s) and object store buckets\n\n\n\n* Cloud Services - Amazon Web Services\n\n* Databases: Postgresql, PrestoDB\n\n* Cache: Redis, Varnish\n\n* Languages: Python / C++14 / Scala / Golang / Javascript / Ruby / Java\n\n* Job Orchestration - HTCondor / Apache Airflow / Rundeck\n\n* Analytics - Spark \n\n* Storage: NFS/EFS, AWS S3, HDFS\n\n* Computation - Docker Containers / VMs / Metal / EMR\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 DevOps, InfoSec, Senior, Engineer, JavaScript, Amazon, Python, Scala, Ruby, SaaS, Golang, Apache, Linux and Backend 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

\nPrefer someone close (-2 to +2 hrs) in East Standard Time zone\n\nFineTune is seeking a strong senior python + devops engineer who will be the expert in residence around\n\n\n* AWS (Google Cloud or any public cloud) infrastructure scaling, monitoring\n\n* python\n\n* sql, nosql and various database optimization\n\n* docker operations and microservices using Kubernetes\n\n* S3, SQS, message queues\n\n* Auto scaling\n\n\n\n\nS/he must have hands on experience working with at least 3 production released software projects/products.  We expect him/her to be highly proficient python developer also to also contribute to development of scalable services.  S/he must also have hands on experience with docker in production via Kubernetes like orchestration, comfortable with terraform or cloudformation and other cloud automation frameworks. \n\nS/he should be comfortable solving complex system problems while making sure to help increase velocity for software team when building new and updating existing services to scale to support 100k+ users\n\n\nS/he should also be comfortable interacting with stakeholder and provide guidance on the technical feasibility and scope of engineering/rearchitecting needed to solve problems and deliver features. \nDevops engineer will work with engineering to find best ways to increase reliable continuous integration, continuous deployment to enhance software quality and development speed.\n\nS/he will interface with CTO to continuously drive scalability, automation, innovation and new product development while promoting and advancing the scalability and modularization of current platform we are working on with Collegeboard. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Backend, Cloud, NoSQL, Python, Senior 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

\nDevOps Engineer– Emphasis on Linux / Docker / Node.js / Elasticsearch / MongoDB\nThe Opportunity:\nWe're looking for an experienced DevOps engineer based in Phoenix, AZ, Virginia Beach, VA or the Washington, DC metro area, however remote (tele) workers will be considered for the position also if you have excellent communication skills and are willing to travel to one of the above locations several times per year.\nThe Day to Day:\n* Provide operational support and automation tools to application developers \n* Bridge the gap between development and operations to ensure successful delivery of projects \n* Participate as a member of the application development team \n* Build back-end frameworks that are maintainable, flexible and scaleable\n* Operate and scale the application back-end including the database clusters \n* Anticipate tomorrow's problems by understanding what users are trying to accomplish today \n\n\nRequirements:\n* DevOps experience with Linux or FreeBSD \n* Experience with Linux Containers and Docker \n* Configuration management experience, Salt Stack preferred \n* Exposure to the deployment and operations of node.js applications \n* Experience operating and optimizing Elasticsearch at large scale\n* Operational experience with Hadoop, MongoDB, Redis, Cassandra, or other distributed big data systems \n* Experience with any of JavaScript, Python, Ruby, Perl and/or shell scripting \n* Comfort with compute clusters and many terabytes of data \n* US Citizenship / Work Authorization\n\n\nBonus Points:\n* Development experience with Node.js or other HTTP backend tools\n* Mac OS X familiarity \n* BS or MS in a technology or scientific field of study\n* High energy level and pleasant, positive attitude!\n* Evidence of working well within a diverse team\n\n\nCompensation:\n* Salary commensurate with experience, generally higher than competitive industries\n* Comprehensive benefits package\n* Opportunities for advancement and a clear career path\n\n\nAbout Us:\nWe conduct advanced technical research and develop innovative software and systems that help meet network security and reliability challenges for organizations world-wide.  You can read more at our web site.  \nCareer Opportunities:\nWe have many other openings available. For a complete listing, visit jobs.vostrom.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, JavaScript, InfoSec, Elasticsearch, Java, Perl, Python, Node, Ruby, Admin, Excel, Engineer, Sys Admin, Cassandra, Backend, Design, Docker, Digital Nomad, Travel and Linux 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