LiveData is a healthcare technology company automating clinical and operational workflows across Electronic Health Record (EHR) systems. The DevOps Engineering Manager will lead the DevOps function, manage a team of engineers, and work closely with various departments to enhance delivery speed, reliability, and security in a cloud-based environment.
Responsibilities:
- Lead, coach, and develop a team of two DevOps engineers
- Own the health and maturity of the DevOps function: infrastructure, CI/CD, observability, and release processes
- Define and execute a DevOps roadmap aligned with engineering and business goals
- Partner with software engineers to improve developer experience and deployment reliability
- Strengthen infrastructure as code, automation standards, and operational runbooks
- Oversee production operations: monitoring, alerting, incident response, and root cause analysis
- Drive reliability, availability, backup and recovery readiness, and disaster recovery planning
- Guide secure infrastructure and delivery practices in collaboration with security and engineering leadership
- Manage and optimize AWS usage with attention to scalability, resilience, and cost
- Track and report key operational metrics (e.g., deployment frequency, change failure rate, availability, mean time to recovery, cloud spend)
- Help evaluate tooling and vendor choices appropriate for a small engineering organization
- Support future hiring and growth of the DevOps function
- Use AI coding assistants and automation tools as part of daily workflows
Requirements:
- 6+ years in DevOps, platform, SRE, or infrastructure engineering
- 2+ years leading engineers directly or serving as technical lead for a small DevOps/platform team
- Strong hands-on experience with AWS in production environments
- Experience building and improving CI/CD pipelines and infrastructure as code
- Proven track record operating production systems with a focus on reliability, observability, and incident response
- Experience with cloud security fundamentals, secrets management, identity and access control, and secure deployment practices
- Strong working knowledge of Linux, networking fundamentals, and shell-based troubleshooting
- Experience with scripting or software development in Python, Bash, or similar languages
- Ability to review and refine AI-generated code or configuration using sound engineering judgment
- Clear communication skills and the ability to work effectively across engineering, leadership, and non-technical stakeholders
- Experience in healthcare or another regulated environment
- Experience with serverless AWS services such as Lambda, API Gateway, S3, CloudWatch, IAM, EventBridge, RDS, or Aurora
- Experience with AWS CDK, Terraform, or similar infrastructure-as-code tooling
- Familiarity with compliance-minded engineering practices (auditability, access review, logging and retention controls, change management)
- Experience improving developer experience for small engineering teams
- Familiarity with PostgreSQL, application performance monitoring, and AWS cost optimization
- Experience with AI-assisted development tools and workflows
- Experience supporting remote engineering teams and coordinating operational work across time zones