Remote Engineering Manager

Engineering Manager
- Dev Ops LiveData | Remote, United States (Eastern Time preferred) | Full-Time LiveData builds cloud-based surgical software that helps hospitals run operating rooms more efficiently while improving patient outcomes. 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. LiveData is a healthcare technology company automating clinical and operational workflows across Electronic Health Record (EHR) systems. We build on a serverless-first AWS architecture to keep systems lean and scalable while relying on managed services where they fit best. 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. 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. 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. 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. 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. 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. ~ 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 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 supporting remote engineering teams and coordinating operational work across time zones. Cloud: AWS (serverless-first) Infrastructure as code, automation-first operations Data: Aurora and other relational databases 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 You can drive meaningful operational and platform improvements quickly. You stay close to architecture, tooling, and production operations. 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 include generous health, dental, and vision insurance; and remote work flexibility. Based on experience and location, the target salary range for this role is $125-$175K. This is a remote-first role. Additionally, you must be available to travel to the Boston area approximately once per quarter for in-per