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

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

\nWho We Are:\nEthena Labs is building the first ETH based yield-bearing synthetic dollar. Arthur Hayes is a founding advisor and the team has deep experience across traditional finance and crypto engineering from firms such as Cerberus, Wintermute, Flow Traders, Deribit, Paradigm, Aave, Blockdaemon and Kaiko. We are backed by every major exchange and trading entities in the space.\n\n\nWhat we are Doing:\nWe are building derivative infrastructure to enable Ethereum to transform into the Internet Bond via delta-neutral derivatives positions, to create the first crypto-native, yield bearing synthetic dollar: sUSDe.\n\n\nWe believe creating a synthetic dollar which is not reliant on existing banking infrastructure is the single most important problem to solve and largest opportunity in crypto today.\n\n\nUSDe will form the first part of a broader ecosystem of products we are building including fixed and floating rate internet bonds and composable repo leveraged markets.\n\n\nJoin us!!\n\n\nThe Team:\nThe DevOps team is 1 growing to 2 with this hire, together you’d be supporting the build of a Dapp, Ethereum smart contract development and the required trading infrastructure to maintain our delta-neutral USDe positions.We believe creating a synthetic dollar which is not reliant on existing banking infrastructure is the single most important problem to solve and the largest opportunity in crypto today.\n\n\nThe ideal candidate would reside in The Americas or Asia to increase the ease of 24 hour team coverage.\n\n\n\nWho We are Looking For:\n* DevOps Engineer who is passionate about building products/applications within DeFi\n* An individual who is excited by the opportunity to join an early stage team and help evolve and scale a newly launched product\n* At least 2 years of experience in building & maintaining infrastructure for live blockchain projects or organisations\n* An individual who is curious and always looking to learn new concepts on the overlap between frontier technology and financial concepts\n\n\n\nResponsibilities\n* Optimise, harden and maintain our infrastructure to monitor, detect, mitigate performance and security issues\n* Assist in systems and environmental administration, from creating secure Github repos with our engineers, to integrating and managing integrations with 3rd parties (Custody Providers, Exchanges, Wallets)\n* Maintain and improve system processes and technical documentation\n* Maintain and improve infrastructure systems and CI/CD processes\n* Monitor and analyze system performance and implement improvements\n* Stay up to date and maintain on security best practices\n* Assist the DevOps Manager generally\n\n\n\nRequirements\n* 2+ years in a DevOps/SRE role\n* Experience with containerisation and orchestration tools such as Docker and ECS\n* Good Cloud experience and associated toolchains, particularly with AWS, Terraform, Prometheus, Grafana, GitLab actions\n* A working knowledge of Python is a great asset\n* Experience interacting with exchange APIs or external integrations from an infrastructure perspective, or familiarity with Cloud networking\n* You can write and speak fluent English\n\n\n\nOur engineering stack\n* Frontend: React, NextJS, Wagmi, Viem, TailwindCSS\n* Backend: Python, Solidity, SQL, GraphQL, DGraph, Docker, AWS, Ethereum.\n* DevOps (You): AWS, Terraform, Prometheus, Grafana, GitLab actions, Docker\n\n\n\n\n$100,000 - $130,000 a year\n\nIf you subscribe to the mission of separating the dollar from the state, then we want to hear from you!\n\n\nWe look forward to receiving your application and will be in touch after having a chance to review. \n\n\nIn the meantime, here are some links to more information about Ethena Labs to help you check us out:\nWebsite\nTwitter\nLinkedIn\nDiscord \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Crypto, Ethereum, Python, Docker, DevOps, Finance, Cloud and Engineer jobs that are similar:\n\n $60,000 — $112,500/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\nGlobally Remote

\nWho We Are:\nEthena Labs is building the first ETH based yield-bearing synthetic dollar. Arthur Hayes is a founding advisor and the team has deep experience across traditional finance and crypto engineering from firms such as Cerberus, Wintermute, Flow Traders, Deribit, Paradigm, Aave, Blockdaemon and Kaiko. We are backed by every major exchange and trading entities in the space.\n\n\nWhat we are Doing:\nWe are building derivative infrastructure to enable Ethereum to transform into the Internet Bond via delta-neutral derivatives positions, to create the first crypto-native, yield bearing synthetic dollar: sUSDe.\n\n\nWe believe creating a synthetic dollar which is not reliant on existing banking infrastructure is the single most important problem to solve and largest opportunity in crypto today.\n\n\nUSDe will form the first part of a broader ecosystem of products we are building including fixed and floating rate internet bonds and composable repo leveraged markets.\n\n\nJoin us!!\n\n\nThe Team:\nThe DevOps team is is expanding with the launch of our protocol and as such needs to provide 24/7 coverage. Together you’ll be supporting the build of a Dapp, Ethereum smart contract development and the required trading infrastructure to maintain our delta-neutral USDe positions. We believe creating a synthetic dollar which is not reliant on existing banking infrastructure is the single most important problem to solve and the largest opportunity in crypto today.\n\n\nThe ideal candidate would reside in The Americas or Asia to increase the ease of 24 hour team coverage.\n\n\n\nWho We are Looking For:\n* DevOps Engineer who is passionate about building products/applications within DeFi\n* An individual who is excited by the opportunity to join an early stage team and help evolve and scale a newly launched product\n* At least 1 year of experience in building & maintaining infrastructure for live blockchain projects or organisations\n* An individual who is curious and always looking to learn new concepts on the overlap between frontier technology and financial concepts\n\n\n\nResponsibilities\n* Help optimise, harden and maintain our infrastructure to monitor, detect, mitigate performance and security issues\n* Assist in systems and environmental administration, from creating secure Github repos with our engineers, to integrating and handling elements of integrations with 3rd parties (Custody Providers, Exchanges, Wallets)\n* Maintain and improve system processes and technical documentation\n* Maintain and improve infrastructure systems and CI/CD processes\n* Monitor and analyze system performance and implement improvements\n* Stay up to date and maintain on security best practices\n* Assist the DevOps Manager generally\n\n\n\nRequirements\n* 1+ year in a DevOps/SRE role\n* Experience with containerisation and orchestration tools such as Docker and ECS\n* Good Cloud experience and associated toolchains, particularly with AWS, Terraform, Prometheus, Grafana, GitLab actions\n* A working knowledge of Python is a great asset\n* Experience interacting with exchange APIs or external integrations from an infrastructure perspective, or familiarity with Cloud networking\n* You can write and speak fluent English\n\n\n\nOur engineering stack\n* Frontend: React, NextJS, Wagmi, Viem, TailwindCSS\n* Backend: Python, Solidity, SQL, GraphQL, DGraph, Docker, AWS, Ethereum.\n* DevOps (You): AWS, Terraform, Prometheus, Grafana, GitLab actions, Docker\n\n\n\n\n$80,000 - $100,000 a year\n\nIf you subscribe to the mission of separating the dollar from the state, then we want to hear from you!\n\n\nWe look forward to receiving your application and will be in touch after having a chance to review. \n\n\nIn the meantime, here are some links to more information about Ethena Labs to help you check us out:\nWebsite\nTwitter\nLinkedIn\nDiscord \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Crypto, Ethereum, Python, Docker, DevOps, Finance, Cloud and Engineer jobs that are similar:\n\n $60,000 — $112,500/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\nGlobally Remote