\nAbout Commonwealth Fusion Systems: \n\n\nCommonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy.\n\n\nCombining decades of research, top talent and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future. \n\n\nWe’re in the best position to make it happen. Since 2018, we’ve raised over $2 billion in capital – more than any other fusion energy company in the U.S.\n\n\nNow we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team. \n\n\nIf that’s you and this role fits, we want to hear from you.\n\n\nJoin the power movement as a Senior Scientific Software Engineer\n\n\nThe Scientific Software team at CFS develops software that helps us understand and build superconducting magnets and tokamaks. The primary project for this role will be developing software for a fiber optic quench detection system. A quench is an event where a superconducting magnet goes into thermal runaway, and SPARC will incorporate a system using fiber optic cables to detect and mitigate these events. We seek an experienced software engineer (Senior to Principal level) to help develop an algorithm for detecting quenches based on the data received by the fiber optic system. \n\n\nOne of the tools used to develop the algorithm is a fiber model written in Python that simulates the expected signals during a quench and nominal operations. The engineer will also help increase the accuracy and performance of the simulation. The development of the fiber model and the quench detection algorithm are informed by experiments, ranging from bench top tests to full sized magnets. The engineer will be responsible for analyzing experimental data from these tests to validate the fiber model and test and develop the quench detection algorithm.\n\n\n\nWhat you'll do:\n* Rapidly learn and improve complex physics-based models and simulations from first principles optics and physics\n* Enhance quench detection algorithm performance (i.e. reduce quench detection false positive and false negative rates), by applying image and signal processing techniques to time-series spectral data\n* Collaborate with cross-functional teams, including the physics, production, and SPARC Software (real-time controls) teams, to identify and execute on key data and algorithm needs\n* Clearly communicate technical results and project progress\n* Develop, implement, and maintain CI/CD pipelines to streamline development processes, ensure code reliability, and reduce operational overhead\n\n\n\nWhat we’re looking for:\n* Bachelor’s degree in a technical field preferred\n* Programming language: Python, including type hinting and object-oriented features.\n* Basic understanding of numerical methods, linear algebra, and differential equations.\n* Understand the basics of the project’s physics aspects (e.g., undergrad-level electromagnetics and optics)\n* Data analysis using pandas, numpy, matplotlib, or other similar Python packages\n* Experience with at least one of the following: signal processing, machine learning, and data analytic tools\n\n\n\nBonus points for: \n* Programming languages: C++, Rust, or experience with low-level performance and memory management\n* Concurrency and parallelization\n* Demonstrated experience building a simulation framework that uses physics-based modeling\n\n\n\nMust-have Requirements: \n* Perform activities such as typing or sitting for extended periods of time\n* Dedication to safety to mitigate industrial hazards that may include heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, and cryogenics\n* Willingness to travel or work required nights/weekends/on-call occasionally\n\n\n\n\n\n$140,000 - $200,000 a yearSalary range for this full-time position + equity + benefits. The actual salary will depend on level, location, qualifications, and experience. The range displayed on each job posting reflects new hire salaries for the position across all US locations. Benefits include:•  Competitive compensation with equity•  12.5 Company-wide Holidays•  Flexible vacation days•  10 sick days•  Generous parental leave policy•  Health, dental, and vision insurance•  401(k) with employer matching•  Professional growth opportunities•  Team-building activities\n\n#LI-Remote\n\n\nAt CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges.\n\n\nWe value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Senior and Engineer jobs that are similar:\n\n $60,000 — $135,000/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\nDevens, MA

\nRole Description\nGivebutter is hiring a New York City-based Site Reliability Team Lead to oversee the reliability, scalability, and performance of our systems. As a Lead SRE, you will be directly responsible for delivering world-class infrastructure to our users, maturing our operational practices, and leading a team of skilled engineers. You will report directly to our CTO and carry out our infrastructure vision while creating a scalable engineering culture that breeds innovation. You will ensure we are delivering excellent user experiences in a timely manner and retain top-notch security, design, and performance. You will cultivate a culture of high performance by creating systems that eliminate roadblocks, processes that incentivize excellence, and by being an expert in site reliability engineering. We have already built a great foundation, powering hundreds of millions of donations to over 10k+ organizations and you will take this impact much further.\n\n\nWhy join the Givebutter Engineering team?\nDemocracy of code - We are a group of engineers that values equal contribution as well as discussing architecture and ideas openly.\nNot overburdened with meetings - Our Engineers manage their own calendars and block times so they can work uninterrupted.\nAutomated ci/cd - Our builds are reproducible and the pipeline is easy to manage. Shipping to production is hands-off, automated, and consistent. Our engineers are focused on solving problems with code.\nMission-driven, full stop - We work with amazing organizations, non-profits, and charities doing good all over the world.\n\n\n\nResponsibilities\n* Manage and hire in-house SREs and contractor resources\n* Handle and prioritize incidents, ensuring timely resolution and effective communication.\n* Establish and manage key metrics for reliability; set up and maintain alerting systems.\n* Automate tasks and manage infrastructure using Infrastructure as Code (IaC) tools and techniques.\n* Ensure application scalability and identify performance bottlenecks to optimize system performance.\n* Design and implement fault-tolerant and highly available systems to minimize downtime.\n* Develop, implement, and regularly test disaster recovery plans to ensure business continuity.\n* Conduct capacity planning to anticipate and manage future infrastructure needs.\n* Define, measure, and maintain SLOs and SLAs to meet service performance expectations.\n* Ensure the security of applications through best practices and conduct regular penetration tests to identify and mitigate vulnerabilities.\n\n\n\nRequirements\n* 5+ years of experience building and deploying production infrastructure at scale\n* 5+ years experience working with AWS\n* Knowledge of PHP\n* Aware of trends and best practices in SRE and cloud infrastructure\n* 2+ years of experience managing system architecture, ensuring best practices for reliability, performance, and security\n* Strong technical leadership, mentorship, and communication skills\n* Experience working for a product-led growth company is beneficial\n* Experience managing a remote engineering team\n\n\n\n\n\n\n$170,000 - $190,000 a yearThis is a remote position, however candidates should be located in New York for occasional in-person meetings with the CTO and Product and Engineering Team Leads\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud and Engineer jobs that are similar:\n\n $45,000 — $90,000/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\nRemote, NY-NJ-CT Only

\nThe Developer Efficiency team is responsible for the systems that drive reliable software delivery across the build, test, and deployment phases of the software development life cycle. Our goal is to make all Plaid engineers more productive via components we own within Plaid’s Internal Developer Platform: CI/CD, Build Tools, Self-serve Deployments, Container Registry, Developer Portal, Service Catalog, and Feature Flagging. \n\n\nWe also partner closely with adjacent teams such as Core Infrastructure, Observability, and Security with the goal of providing well-lit paths for common developer workflows to ensure best-practices for operational maturity are provided by default.\n\n\nYou will be the tech lead for the work-stream responsible for Continuous Deployments (CD), which is used by Plaid’s application engineering teams to deploy new changes to production every day. \n\n\nYou will:\n- Discover, prioritize, and execute projects to improve the reliability of Plaid’s product offerings by extending the coverage of testing and canarying mechanisms we currently have in CD. \n- Up-level the technical rigor of other engineers on the team, and conduct thoughtful code reviews.\n- Own SLO definition, goal-setting, and OKR planning.\n- Improve the capabilities of our internal developer platform.\n- Lead with operational maturity, and an SRE-like focus on reliability and automation.\n- Dive into any part of the entire Plaid codebase to inform technical decision making across teams, and with engineering leadership.\n\n\n\nResponsibilities \n* Working on projects at the intersection of Reliability, Engineering Velocity, Security, and AWS Cost Efficiency.\n* Collaborating extensively with senior engineering leadership, and across teams. \n* Operating with autonomy while managing ambiguity. \n\n\n\nQualifications \n* 8+ years of experience in software engineering with a proven track record of shipping successful projects.\n* Experience with k8s and Continuous Deployment models.\n* Past experience in a technical lead position within a Platform organization.\n* Ability to advocate for a technical direction, with strong decision making skills.\n* Coding, testing and system design skills.\n* Customer-focus (for our internal engineers).\n\n\n\n\n$182,520 - $297,000 a yearTarget base Salary for this role is $182,520- $297,000 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Senior 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\nUnited States

\nAbout Us\nLuxury Presence is the fastest-growing digital platform for real estate agents, teams, and brokerages. Our award-winning real estate websites, modern marketing solutions, and AI-powered mobile platform help agents attract more business, work more efficiently, and serve their clients. Since launching in 2016, Luxury Presence has been trusted by more than 11,000 real estate professionals, including over 20 Wall Street Journal Top 100 agents.\n\n\nPosition\nTeam: Engineering / Infrastructure\nTitle: Sr. Site Reliability Engineer\nLocation: Latin America, Remote\n\n\nWho is the Infrastructure Squad?\nThe infrastructure squad (internally known as SWAT Squad) is responsible for all cloud resources' reliability, scalability, and performance. We provide the foundation upon which Luxury Presence’s products are built. SREs lead the design, operation, and maintenance of our AWS cloud infrastructure, while also offering Engineering teams valuable frameworks, pipelines, and tooling to streamline production application design, deployment, and management.\n\n\nWhat will you do as a Sr. Site Reliability Engineer (SRE)?\nAs an SRE, your role will involve collaborating with Infrastructure and Product Delivery teams, utilizing tooling and automation to enhance our Kubernetes clusters' readiness, improve observability, scale the system, optimize performance, and promote operational excellence practices.\n\n\n• Identify and lead strategic initiatives that streamline platform operations, optimize platform performance, and improve system health.\n• Design, build, test and maintain scalable and reliable infrastructure that supports workloads for all other teams.\n• Manage and optimize Kubernetes clusters on AWS, ensuring high availability, scalability, and efficient resource utilization.\n• Automate application deployments, continuous delivery, and monitoring changes to Kubernetes manifests using ArgoCD.\n• Continuously improve our GitOps foundation with IaC tools like Terraform and Crossplane.\n• Improve monitoring and observability to gain better insights into the platform's health, performance, and potential issues.\n• Assist in the resolution of incidents, identifying root causes, and ensuring timely responses to critical issues affecting the platform.\n• Analyze and optimize system performance, identifying and resolving bottlenecks in applications or infrastructure components.\n• Develop and maintain automation scripts, tools, and workflows to streamline tasks and enhance efficiency.\n• Document configurations, processes, and best practices, and sharing knowledge with the Engineering team to foster collaboration and learning.\n• Ensure the platform adheres to security best practices and compliance requirements. Implementing necessary measures.\n\n\n\nSkills And Qualifications:\n* 6+ years of professional combined experience as a Software Engineer and SRE.\n* 3 years minimum of professional experience as SRE or DevOps Engineer.\n* Expert-level knowledge in containerized environments for production workloads utilizing Kubernetes or similar container orchestration systems.\n* MUST have working experience with cloud-native infrastructure such as AWS or GCP (ideally AWS). \n* MUST understand AWS VPC, subnets, Network ACLs, Security Groups, IAM Role, EKS.\n* Experience configuring Kubernetes RBAC Authorization, Ingress controller, ServiceAccount, and AWS role annotations.\n* Experience in automating releases, continuous integration/delivery systems, and relevant tools (e.g., Jenkins, CircleCI, Github Actions, GitlabCI, etc.)\n* Experience with infrastructure as code (ideally Terraform or Crossplane)\n* Professional Experience with monitoring, observability systems such as Datadog and Prometheus.\n* Ability to triage and resolve incidents, and lead incident investigations\n* Professional experience with security practices, credential rotations, secrets management systems (ideally Vault).\n* Hands-on experience setting up log aggregators such as Fluentbit, FluentD, or LogStash. Experience setting up platforms like ELK stack or hybrids is a plus.\n* Working knowledge of GitOps, FluxCD, or ArgoCD is a plus\n* Building a Kubernetes Operator is a plus.\n\n\n\nOur Technology Stack:\n* Terraform / ArgoCD / Crossplane.io for resources management.\n* AWS as our Cloud Provider.\n* Kubernetes through AWS EKS as our container orchestrator.\n* Argo Events and Argo Workflows for internal pipelines.\n* Vault project for secrets and password management.\n* Prometheus and Datadog\n\n\n\n\n\nWho we are: Luxury Presence is the real estate industry's most powerful marketing platform, providing award winning websites and cutting edge tech to the world’s top agents.\n \nFounded in 2016 by Stanford Business School alumni Malte Kramer, Luxury Presence currently serves over 9,000 clients in the U.S. and Canada with its SaaS model — including over 20 of the top 100 WSJ real estate agents and teams. In addition, Luxury Presence is the official website partner to some of the industry's most powerful brokerages.\n \nThe Los Angeles-based SaaS company raised $25.9 million for its Series B round and recently announced $19.2M Series B-1. Bessemer Venture Partners led the round alongside fellow existing investors Toba Capital and Switch Ventures. Former Dallas Mavericks basketball player Dirk Nowitzki also participated in the round, along with other angel investors. \n \nIts solutions include stunning website design, an engaging home search tool, an agent-to-agent listing referral network, powerful content & SEO strategies, expert-lead social media management, and digital advertising for lead generation. In 2020, Luxury Presence was recognized as a Best Place to Work by BuiltinLA and by Inc. as the 322nd fastest growing private company in America and then again in 2021 — LP ranked 598th. \n \nLuxury Presence is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, DevOps, Cloud, SEO, Mobile, Senior, Marketing and Engineer 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

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

\nVeeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead.\n\n\nAt the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.\n\n\nAs a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.\n\n\nJoin us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.\n\n\nThe Role\n\n\nVeeva is seeking a talented and motivated Site Reliability Engineer (SRE) to join our dynamic team. As an SRE, you are innately curious, have a penchant for problem-solving, and will play a crucial role in ensuring the reliability, scalability, and performance of our systems. Our mission is to protect, provide for, and progress the software and systems utilized by our product engineering teams.\n \nIdeal candidates have worked in enterprise software development or for a high-growth technology company.\n\n\n\nWhat You'll Do\n* Take responsibility for managing production and pre-production environments, security, change management, deployment, architecture, and tools\n* Perform root cause analysis for complex failures and offer modern solutions and tools\n* Analyze performance and ensure the applications (GitLab, Jira, Confluence, TestRail, Mattermost), hosted in AWS, meet the scalability and reliability needs of our internal teams\n* Work closely with Infrastructure, DevOps, Security, and product teams to stabilize, secure, and scale applications for continued growth\n* Automate deployment, monitoring, and incident response processes to enhance system reliability and performance\n* Continuously monitor system health, proactively identify issues, and implement solutions to ensure optimal performance\n* Identify and troubleshoot performance bottlenecks and reliability issues across the stack\n* Implement best practices for cloud-based infrastructure, ensuring security, scalability, and cost efficiency\n* You want to make the system better every day and are self-driven to learn all that is necessary to provide full-stack diagnostics and determine the root cause of problems\n* During an incident, lead the effort to triage and mitigate. You might need to perform periodic on-call duty if issues are escalated\n* Communicate effectively with engineering and infrastructure teams, and describe problems succinctly with sufficient detail\n* Engage in real-time communication during outages with both technical and non-technical audiences\n\n\n\nRequirements\n* Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent work experience)\n* 3+ years of working experience as a DevOps or SRE engineer\n* Independent learner, curious to learn new technologies\n* Experience with AWS and container orchestration tools (e.g., Kubernetes)\n* Familiarity with infrastructure as code tools (e.g., Terraform, Ansible) and version control systems (e.g., Git)\n* GitLab system administration experience\n* Experience supporting GitLab including CI/CD processes and GitLab runners\n* Solid scripting skills; experience with Shell, Bash, Ansible, Python, Go, Ruby, etc.\n* Excellent problem-solving skills and the ability to troubleshoot complex issues under pressure\n* 3+ years of experience in relational databases with a mastery of SQL\n* Demonstrated history of incident management and leadership ability\n* Hands-on operational experience in a high-volume or critical production service environment\n* Effective communication skills across all levels — whether talking to individual contributors or executives\n* Experience with disaster recovery planning and implementation\n* Experience with performance tuning of databases and distributed storage systems\n* Ability to handle the periodic, on-call duty\n* Fluent in English – both written and verbal\n* We are looking for strong mentors with a proven record of making your team better\n\n\n\nNice to Have\n* Experience with serverless computing and serverless architectures (e.g., AWS Lambda, Azure Functions)\n* Knowledge of security best practices\n\n\n\nPerks & Benefits\n* Medical, dental, vision, and basic life insurance\n* Flexible PTO and company paid holidays\n* Retirement programs\n* 1% charitable giving program\n\n\n\nCompensation\n* Base pay: $65,000 - $115,000\n* The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.\n\n\n\n\n\n#LI-Remote\n\n\nVeeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.\n\n\nVeeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected]. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, DevOps, Serverless, Senior 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\nOhio - Columbus

We are seeking a highly skilled and hard-working Senior Test Developer Architect to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with a deep understanding of cloud infrastructure and distributed systems, and you thrive in an exciting, innovative environment, this could be the flawless role for you. What you'll be doing: Engage with product engineering teams to gain a comprehensive understanding of their infrastructure use cases. Provide mentorship to SWQA teams on effectively testing at scale. Develop end to end test plans that exercise all layers of SW stacks for NVIDIA cloud-based infrastructure Lead NVIDIA Cloud and Data Center bring up activities from SWQA perspective Develop sophisticated tooling to automate the build and deployment of microservices and infrastructure components, improving efficiency and productivity. Reduce manual labor and increase operational efficiency through automation. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work closely with partners to understand their infrastructure needs and to ensure our testing encompass their use cases What we need to see: A Master's or Ph.D. in Computer Science or a related field, or equivalent experience. 4+ years of hands-on experience in cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. 8+ years strong experience with cloud infrastructure platforms like AWS, Azure, or Google Cloud. Hands-on experience with network, storage, cluster configuration and debugging. High level of proficiency in Infrastructure as Code and Configuration Management tools like Terraform. Expertise in administering, operating, and configuring Kubernetes and Envoy. Proficiency in scripting languages such as Python. Validated experience in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab and Jenkins and the GitOps model. Proficiency in various monitoring tools :Prometheus, Grafana, Cloudwatch, and Thanos. Strong background in cloud security, Kubernetes security, and application security. Proficiency in debugging issues involving networks, DNS, HTTP, Linux, and containers. Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. Ways to Stand Out from the Crowd: A true innovator who isn't afraid to challenge the status quo and bring fresh ideas to the table. You're always looking for ways to improve existing systems and processes. Passion and curiosity about the latest technologies and trends in cloud infrastructure and distributed systems. You're not just familiar with the tools, but you understand the underlying principles and can demonstrate this knowledge to make strategic decisions. Committed to personal and professional growth. You're crafting opportunities to learn new skills and deepen your expertise. Consider joining our team! By joining our team, you will be part of a forward-thinking company that values innovation and creativity. We offer a competitive salary and benefits package, a flexible work environment, and the opportunity to work with some of the industry leading experts. If you're ready to take your career to the next level, we'd love to hear from you. The base salary range is 192,000 USD - 368,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, Testing, 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\nUS, CA, Santa Clara

\nWho We Are:\n\nSmithRx is a rapidly growing, venture-backed Health-Tech company.  Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service.  With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country.\n\nWe pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values:\n\n\n* Integrity: Do the right thing. Especially when it’s hard.\n\n* Courage: Embrace the challenge.\n\n* Together: Build bridges and lift up your colleagues.\n\n\n\n\nJob Summary:\n\nThe Engineering team at SmithRx is developing the next-generation modern pharmacy benefits management (PBM) platform that will change how companies administer and manage pharmacy benefits. Our unified technology platform provides real-time actionable insights that drives cost savings, powers clinical services and results in a brilliant customer experience. A unified technology platform exists nowhere in the pharmacy benefit ecosystem to programmatically solve widespread deficiencies. SmithRx delivers unmatched service quality and operational efficiencies that exceed all industry standards.\n\nAs a Senior Full-Stack Software Engineer, you will play a key role in the entire software development lifecycle from FE and BE design, build, test and maintain our SmithRx web product suite. You will work with Product and other stakeholders (Business, UX, QA, etc) and bridge the gap between UI/UX design and technical implementation, taking an active role on both sides and defining how the application looks as well as how it works.  You will advocate and bring best practices/methodologies, coding standards and large-scale web application perspectives to our team.  We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward.\n\nWhat you will do:\n\n\n* Taking the lead on designing, developing and maintaining SmithRx full-stack features with a strong depth of knowledge in JavaScript, React, GraphQL, and a compiled language (C, C++, Java, Go) while leveraging CI/CD to iterate quickly\n\n* Collaborate with stakeholders and technical leads to understand functional and technical feasibility to produce high-quality, performant, decoupled, and scalable code\n\n* Provide scope and risk estimates for system and feature builds by building technical design documentation\n\n* Continually apply software development best practices, design patterns, tools and technologies \n\n* Troubleshoot production issues by performing triages for issues that arise and performing root cause analysis to prevent future occurrence of issues.\n\n* Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing  \n\n* Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews\n\n* Be the cornerstone of a collaborative learning culture through knowledge sharing, mentorship, code reviews, and exploration of new frameworks and paradigms\n\n\n\n\nWhat you will bring to SmithRx:\n\n\n* BS or advanced degree in computer science\n\n* 5+ years of software development experience working on client-side and server-side applications\n\n* Expertise in JavaScript, a compiled language, GraphQL, React, HTML, CSS and various frameworks\n\n* Experience in a compiled language (Go, C or C++) and interpreted languages (Python, Javascript or React) is required\n\n* Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required\n\n* Demonstrated experience designing and implementing scalable APIs; a solid understanding of design patterns, database design, and testing best practices.\n\n* Proven experience in software design, implementing reusable components or libraries, and ability to work on features with little supervision\n\n* Experience using Git in a professional environment\n\n* Experience in writing automated tests using testing frameworks such as Cypress or Selenium\n\n* Some industry experience with CI/CD pipeline, Docker, AWS platform, and Kubernetes\n\n* Understanding of typical web application, SOA and distributed systems architecture\n\n* Experience at a high-growth startup a plus\n\n* Positivity; non-dogmatic, team-first attitude\n\n* Flexibility; someone who is responsive and comfortable with ambiguity\n\n* Highly disciplined approach to software design and development and ability to work on features independently (accurately forecast delivery milestones and work with stakeholders to ensure that expectations are met)\n\n\n\n\nWhat SmithRx Offers You: \n\n\n* Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance\n\n* Flexible Spending Benefits \n\n* 401(k) Retirement Savings Program \n\n* Short-term and long-term disability\n\n* Discretionary Paid Time Off \n\n* 12 Paid Holidays\n\n* Wellness Benefits\n\n* Commuter Benefits \n\n* Paid Parental Leave benefits\n\n* Employee Assistance Program (EAP)\n\n* Well-stocked kitchen in office locations\n\n* Professional development and training opportunities\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, Testing, JavaScript, CSS, Senior and Engineer jobs that are similar:\n\n $50,000 — $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\nSan Francisco, California, United States