DevOps Engineer

Vumedi Inc.•Oakland, CA

19d•Hybrid

About The Position

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. 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. 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. 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.

Requirements

5+ years of experience in DevOps, Site Reliability Engineering, or infrastructure-focused roles
Proven experience designing and operating scalable, reliable, and secure cloud infrastructure (preferably AWS) in production environments
Strong understanding of cloud security best practices (IAM, network security, secrets management), preferably within AWS
Proficiency in Python for automation, scripting, and tooling
Hands-on experience building and maintaining CI/CD pipelines
Experience with monitoring, logging, and alerting tools (e.g., Datadog, CloudWatch, Prometheus)
Experience working in a Linux-based environment
Ability to drive infrastructure and DevOps strategy, balancing scalability, reliability, and cost
Experience working cross-functionally and influencing engineering teams on best practices and architectural decisions
Strong ownership mindset with the ability to operate autonomously in ambiguous environments

Nice To Haves

Experience supporting or scaling AI/ML or LLM-based systems in production
You have worked with containerized applications (Docker) and are familiar with orchestration concepts (Kubernetes or ECS is a plus)
You are familiar with Infrastructure as Code principles (e.g., Terraform) and have experience implementing Infrastructure as Code from scratch in existing environments
You have experience working with or supporting backend systems and data platforms (e.g., Postgres, Airflow is a plus)
Background in backend engineering or software development
Experience working in a fast-paced startup or scale-up environment
Experience leading and mentoring engineers, while contributing to team-wide best practices

Responsibilities

Own and improve our infrastructure, CI/CD pipelines, and deployment processes across multiple environments
Work with AWS services (compute, storage, networking, IAM, monitoring) to ensure scalable, secure, and reliable systems
Collaborate closely with backend and data teams to support production systems, data pipelines, and overall platform reliability
Continuously improve developer experience by streamlining workflows, reducing friction, and enabling faster, safer deployments
Contribute to improving security practices, access control, and compliance of our infrastructure
Automate infrastructure and workflows using Python
Improve observability by implementing and maintaining monitoring, logging, and alerting systems
Troubleshoot production issues, participate in incident response, and implement long-term fixes to improve system stability
Identify and drive improvements in performance, scalability, and cost efficiency across the platform
Support and scale AI/ML and LLM-based systems, ensuring reliable infrastructure for data processing and content classification workloads