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Axle

Translational research informatics and data science

IT Platform Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeTysons, VA, USA$150k - $180k

About the Job

Requirements

  • Demonstrated experience managing or leading platform engineering, DevOps, infrastructure, or site reliability engineering teams, including mentoring engineers and delivering technical initiatives.
  • At least 4 years of hands-on experience managing production Kubernetes clusters, including operations, troubleshooting, upgrades, and workload optimization.
  • Strong proficiency with Helm charts for application deployment and configuration management.
  • Extensive experience with Docker and Docker Compose, including multi-container architectures, image optimization, and secure container design.
  • Advanced Linux administration skills across multiple distributions, including package management, networking, storage, permissions, and system performance.
  • Strong troubleshooting skills for network, domain name system, application programming interface, and service connectivity issues in distributed systems.
  • Hands-on experience with log management, monitoring, and observability tools such as Prometheus, Grafana, and CloudWatch.
  • Advanced scripting skills in Bash, Python, or similar languages for automation, tooling, and system integrations.
  • Proven experience with system hardening, security best practices, and vulnerability remediation across cloud infrastructure and containerized environments.
  • Proficiency with Amazon Web Services, including Elastic Kubernetes Service, Elastic Compute Cloud, Identity and Access Management, CloudWatch, Security Groups, and Virtual Private Cloud networking.
  • Experience designing and maintaining continuous integration and continuous delivery pipelines with automated testing, security checks, and reliable deployment and rollback processes.
  • Proficiency with Terraform, including reusable modules, state management, and integration into infrastructure deployment workflows.
  • Strong communication and planning skills, with the ability to explain technical tradeoffs, delegate effectively, and align engineering work with business priorities.
  • Employment is limited to U.S. persons as defined by federal regulations: U.S. citizens, U.S. nationals, lawful permanent residents, asylees, and refugees.

Responsibilities

  • Lead and develop the platform engineering team through hiring, coaching, performance management, and clear ownership of delivery and operational responsibilities.
  • Own the platform roadmap and engineering standards; prioritize work, manage team capacity, and communicate progress, dependencies, and technical risks to stakeholders.
  • Oversee and contribute to production Kubernetes operations, including cluster upgrades, Helm deployments, workload optimization, capacity planning, and application availability.
  • Establish DevSecOps practices across continuous integration and continuous delivery pipelines, including code, dependency, container, and infrastructure scanning; secrets management; and risk-based vulnerability remediation.
  • Guide Amazon Web Services architecture and infrastructure security, including identity and access management, network segmentation, system hardening, and secure container design.
  • Standardize infrastructure provisioning and configuration through reusable Terraform modules, scripting, and version-controlled deployment workflows that reduce manual work.
  • Own observability and operational readiness; define service reliability objectives and maintain actionable monitoring, alerting, logs, runbooks, and tested recovery procedures.
  • Lead incident response and technical escalations, coordinate stakeholder communications, and turn root-cause findings into improvements that prevent recurring failures.
  • Manage infrastructure costs and capacity, contribute to budget planning, and evaluate tools and vendors against security, reliability, and business requirements.
  • Partner with development, security, and business stakeholders to set platform priorities, improve the developer experience, and embed security throughout the software delivery lifecycle.
  • Contribute directly to architecture, automation, and complex troubleshooting.

About the Company

Axle

Translational research informatics and data science

Axle Informatics provides specialized informatics solutions for translational research, health informatics, and data science to biomedical research centers and healthcare organizations. It offers customized software and data management platforms that help researchers collect, integrate, analyze, and visualize large research datasets. The company combines biomedical science, software engineering, and program management to automate data aggregation and deliver analytics, dashboards, and decision-support tools that bridge lab findings to clinical applications. Its goal is to advance public health by accelerating the translation of biomedical discoveries into real-world treatments and diagnostics, improving healthcare outcomes.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Rockville, MD
Founded
2002

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