DevOps Engineer at Vumedi

<p><strong>About Vumedi:</strong></p> <p>Vumedi is the largest video education platform for doctors worldwide, dedicated to advancing medical education through innovative video-based learning. Our mission is to empower healthcare professionals by providing them with access to the latest clinical knowledge and surgical techniques from experts around the globe. We curate a vast library of high-quality educational content, enabling users to enhance their skills, stay informed about industry trends, and improve patient outcomes. We are headquartered in <strong>Oakland, CA</strong>, and have additional offices in Minneapolis, MN, and Zagreb, Croatia.<strong>&nbsp;</strong></p> <p>We're hiring a <strong>Senior/Staff/Principal</strong>&nbsp;<strong>DevOps Engineer</strong> to lead the development of our digital platform and products at this critical stage of Vumedi’s growth.&nbsp;</p> <p><strong>Why join Vumedi right now?</strong></p> <ul> <li><strong>Build technology that matters in a fast-scaling Silicon Valley digital healthcare company</strong>: Your work directly impacts how doctors across the world learn and make decisions that save lives.</li> <li><strong>Grow as we grow:</strong> Be part of a company in an accelerated growth phase, where expanding teams, products, and markets create real opportunities for ownership, leadership, and career progression.</li> <li><strong>Build with AI</strong>: Work on applied LLM systems - from intelligent search to AI-driven content agents - and shape how AI transforms medical knowledge delivery.</li> <li><strong>Own your craft end-to-end</strong>: Take full responsibility for building systems that scale globally and power mission-critical workflows.</li> <li><strong>Collaborate globally: </strong>Join a world-class team of passionate engineers on modern tech stack which will further drive your career development.</li> <li><strong>Have real product impact</strong>: Influence the direction of product development by collaborating closely with product and leadership teams.</li> </ul> <p><strong>About the role:</strong></p> <p>We are looking for a DevOps Engineer to join our engineering team and take ownership of our infrastructure, deployment processes, and overall platform reliability. You will work closely with backend and data teams to support a growing video and data platform used by millions of healthcare professionals worldwide.</p> <p>In this role, you will focus on improving our CI/CD pipelines, system reliability, and developer experience, while helping scale our cloud infrastructure in a secure and cost-efficient way. You will work extensively with AWS services (compute, storage, networking, IAM, monitoring) and help ensure our systems are reliable, observable, and well-architected.</p> <p>You’ll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical content processing, helping build and operate the infrastructure required for these workloads. This includes improving data pipelines, optimizing resource usage, and ensuring production-grade reliability of AI-driven services.</p> <p>This is a high-impact role with a broad scope—from supporting production systems and data pipelines to driving long-term improvements in how we build, deploy, and operate our platform, with strong ownership and autonomy in shaping DevOps practices.</p> <p><strong>What you will do:</strong></p> <ul> <li>Own and improve our infrastructure, CI/CD pipelines, and deployment processes across multiple environments</li> <li>Work with AWS services (compute, storage, networking, IAM, monitoring) to ensure scalable, secure, and reliable systems</li> <li>Collaborate closely with backend and data teams to support production systems, data pipelines, and overall platform reliability</li> <li>Continuously improve developer experience by streamlining workflows, reducing friction, and enabling faster, safer deployments</li> <li>Contribute to improving security practices, access control, and compliance of our infrastructure</li> <li>Automate infrastructure and workflows using Python&nbsp;</li> <li>Improve observability by implementing and maintaining monitoring, logging, and alerting systems</li> <li>Troubleshoot production issues, participate in incident response, and implement long-term fixes to improve system stability</li> <li>Identify and drive improvements in performance, scalability, and cost efficiency across the platform</li> <li>Support and scale AI/ML and LLM-based systems, ensuring reliable infrastructure for data processing and content classification workloads</li> </ul> <p><strong>Who you are:&nbsp;</strong></p> <ul> <li>You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus on cloud-native environments (preferably AWS)</li> <li>You have managed cloud infrastructure (networking, IAM, compute, storage) with a strong understanding of security best practices and cost optimization</li> <li>You have experience building and maintaining CI/CD pipelines to support rapid, reliable software delivery across multiple environments</li> <li>You are comfortable writing Python for automation, scripting, and building internal tooling to improve infrastructure and developer workflows</li> <li>You have a strong understanding of monitoring, logging, and observability (e.g., Datadog, Prometheus, CloudWatch), and proactively identifying and resolve issues</li> <li>You are comfortable debugging production issues across systems and collaborating with engineering teams to resolve them</li> <li>You are proactive, take ownership, and enjoy working in environments with high autonomy and evolving processes</li> <li>You communicate clearly and collaborate effectively with engineers, product managers, and other stakeholders</li> <li>You are curious and motivated to learn, especially in areas like AI/ML infrastructure and large-scale systems</li> </ul> <p><strong>Required Qualifications:</strong></p> <ul> <li>5+ years of experience in DevOps, Site Reliability Engineering, or infrastructure-focused roles</li> <li>Proven experience designing and operating scalable, reliable, and secure cloud infrastructure (preferably AWS) in production environments</li> <li>Strong understanding of cloud security best practices (IAM, network security, secrets management), preferably within AWS</li> <li>Proficiency in Python for automation, scripting, and tooling</li> <li>Hands-on experience building and maintaining CI/CD pipelines</li> <li>Experience with monitoring, logging, and alerting tools (e.g., Datadog, CloudWatch, Prometheus)</li> <li>Experience working in a Linux-based environment</li> <li>Ability to drive infrastructure and DevOps strategy, balancing scalability, reliability, and cost</li> <li>Experience working cross-functionally and influencing engineering teams on best practices and architectural decisions</li> <li>Strong ownership mindset with the ability to operate autonomously in ambiguous environments</li> </ul> <p><strong>Preferred Qualifications:</strong></p> <ul> <li>Experience supporting or scaling AI/ML or LLM-based systems in production</li> <li>You have worked with containerized applications (Docker) and are familiar with orchestration concepts (Kubernetes or ECS is a plus)</li> <li>You are familiar with Infrastructure as Code principles (e.g., Terraform) and have experience implementing Infrastructure as Code from scratch in existing environments</li> <li>You have experience working with or supporting backend systems and data platforms (e.g., Postgres, Airflow is a plus)</li> <li>Background in backend engineering or software development</li> <li>Experience working in a fast-paced startup or scale-up environment</li> <li>Experience leading and mentoring engineers, while contributing to team-wide best practices</li> </ul> <p><strong>This is a hybrid role, working 3 days a week (Monday, Wednesday, and Friday) in our Oakland office.</strong></p>