Sr. DevOps Engineer

Lyra Health is hiring a Senior DevOps Engineer to design, implement, and maintain cloud infrastructure and support software delivery pipelines. The role focuses on modernizing platform tooling, evolving production EKS environments, optimizing managed cloud datastores, and improving developer experience through automation.

Responsibilities:

• Design and implement infrastructure using tools such as Terraform/OpenTofu, Python, and Kubernetes onto our AWS cloud platform
• Collaborate closely with the engineering, data science and machine learning teams to continually implement, maintain, and improve our cloud infrastructure and developer experience
• Platform & Tooling Focus: Apply a software product mindset to build, maintain, and abstract internal platform tools, developer templates, and self-service CI/CD pipelines
• Automate infrastructure and operations tasks using scripting languages
• Security & Governance: Operationalize cloud security by enforcing continuous vulnerability remediation, strict IAM policies, and compliance guardrails directly within platform pipelines
• Monitor and analyze systems and network performance, and implement proactive measures to ensure the availability and reliability of our infrastructure
• Enforcing IAM processes and tools that ensure compliance with data privacy and protection regulations
• Working alongside engineers to ensure that security vulnerabilities are remediated

Requirements:

• This is a remote role however candidates must reside within the United States
• 5+ years in a DevOps, SRE, or Infrastructure role heavily focused on public cloud environments (AWS required)
• Experience with Amazon Web Services (AWS) a must, especially many of the following:
• EKS, SageMaker, EC2, ECS, VPC, IAM, KMS, RDS, ELB/ALB, MWAA, Identity Center
• Demonstrated experience building modular, reusable Terraform or OpenTofu infrastructure
• Experience building and maintaining templates and packages with Helm
• Experience developing CI/CD pipelines with tools such as GitHub Actions, Jenkins, and/or ArgoCD
• Hands-on experience administering, scaling, and troubleshooting multi-tenant Kubernetes (EKS) environments in production
• Strong coding skills in Python, Go, or Bash to write automation scripts, tools, and integrations for internal development teams
• Effective communication and collaboration skills, ability to work independently and as part of a team, and excellent problem-solving and troubleshooting skills
• Experience with modern cluster autoscaling strategies (e.g., Karpenter) and cloud cost optimization techniques
• Familiarity with developer self-service tooling or internal developer portals
• Proficiency with logging analysis, performance monitoring, and performance tuning
• Background supporting ML/Data Science workloads in cloud environments (e.g., SageMaker integrations, feature stores)