Health DevOps Engineer - Observability​/Reliability

Health Dev Ops Engineer - Observability/Reliability

Job Location:

US-Remote

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

We are seeking a highly motivated and skilled Dev Ops Engineer with a strong focus on observability and reliability to join our health project team. The successful applicant will become part of an analytical team that supports public health systems management projects with a primary focus on Medicare, Medicare Advantage, and Risk Adjustment. This role is pivotal in ensuring the stability, scalability, and performance of our healthcare technology infrastructure and applications.

You will play a key role in developing and implementing monitoring strategies, improving system reliability, and automating workflows to streamline our development and operations processes. You will work closely with cross-functional teams to deliver a secure, compliant, and always-available platform for users.

• Observability & Monitoring:
  • Design, implement, and maintain monitoring and alerting systems for production and development environments to ensure high availability and reliability.
  • Leverage tools like Prometheus, Grafana, Data Dog, Elastic Stack, or equivalent to track system performance and application health.
  • Proactively detect and troubleshoot performance bottlenecks, infrastructure issues, and failures.
• Reliability Engineering:
  • Optimize the performance and reliability of highly available systems supporting healthcare payment applications.
  • Lead incident response efforts, including root cause analysis, and implement measures to prevent recurrence.
  • Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure system reliability and availability.
  • Ensure the consistent delivery of high-quality health-related data in compliance with industry standards such as HIPAA.
• Automation & CI/CD Pipelines:
  • Create and maintain automated deployment pipelines (CI/CD) to reduce release cycle times and improve workflows for developers.
  • Automate infrastructure provisioning and management through tools such as Terraform, Helm, Ansible, or Cloud Formation.
  • Improve the operational efficiency of development and deployment processes.
• Cloud Infrastructure Management:
  • Deploy, maintain, and scale cloud infrastructure on platforms such as AWS, Azure, or Google Cloud, ensuring compliance with healthcare-sector security and privacy requirements.
  • Implement and manage container orchestration platforms such as Kubernetes and Docker to ensure efficient resource usage and scalability.
  • Optimize cloud resources for cost efficiency and streamline infrastructure provisioning.
• Collaboration & Documentation:
  • Partner with development and product teams to ensure seamless integration of observability tools and reliability practices through every stage of the software delivery lifecycle.
  • Document architecture, processes, metrics, and troubleshooting guides to support scalability and knowledge sharing across the organization.
  • Actively contribute to improving engineering workflows, reliability processes, and operational excellence.

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Minimum of 2 years of professional experience in Dev Ops, Site Reliability Engineering (SRE), or a related role, preferably focused on observability and reliability.
• Hands-on experience with monitoring tools such as Prometheus, Grafana, ELK stack, Data…