Engineering Manager - Dev Ops

LiveData Remote, United States (Eastern Time preferred) Full-Time

This role leads the DevOps function at LiveData, managing a small team of two engineers while staying close to the technical work. You will report to the VP Engineering, and own how infrastructure, deployment, operations, and reliability are designed and run across the company.

The Role

We are hiring a DevOps Engineering Manager to lead and improve our DevOps function. You will manage two DevOps engineers and work closely with software engineering, QA, security, and leadership to improve delivery speed, reliability, observability, security, and AWS cost efficiency.

This is a hands-on leadership role. You are expected to make architectural decisions, review infrastructure changes, shape CI/CD workflows, guide incident response, and help solve difficult production and platform problems in a pragmatic way.

Our environment is AWS-first and serverless-first, with a strong preference for automation, infrastructure as code, and managed services over undifferentiated operational toil.

What You Will Do

• 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
What You Bring

Required

• 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.

Preferred

• 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.

Tech Environment

• Cloud: AWS (serverless-first)
• Infrastructure: Infrastructure as code, automation-first operations
• Data: Aurora and other relational databases
• Development: GitHub, CI/CD pipelines, command-line tooling, AI coding assistants
• Architecture: REST APIs, event-driven workflows, managed cloud services
• Operations: Monitoring, alerting, logging, incident response, deployment automation

What Sets This Role Apart

• Small-team impact. You can drive meaningful operational and platform improvements quickly.
• Real people leadership. Direct management responsibility for two engineers.
• Technical depth. You stay close to architecture, tooling, and production operations.
• Healthcare context. Systems support clinical and operational workflows where uptime, traceability, and pragmatic risk management matter.
• AI-assisted engineering. AI tooling is part of daily work, anchored by strong engineering judgment.

Benefits
Compensation

Competitive salary commensurate with experience. Benefits include generous health, dental, and vision insurance; an employer-matched 401(k); paid time off; and remote work flexibility. Based on experience and location, the target salary range for this role is $125-$175K.

Work Location

This is a remote-first role. While you can work from anywhere in the U.S., we strongly prefer candidates in the Eastern Time Zone. If you are located elsewhere, you should have experience working core business hours (8 AM to 5 PM ET). Additionally, you must be available to travel to the Boston area approximately once per quarter for in-person team collaboration.