Sr. Platform Engineer

Summit Federal Services, LLCFairfax, VA
$140,000 - $155,000Remote

About The Position

Immediate need for a Sr. Platform Engineer for a London based company specializing in AI. This is a remote role. MUST live in the East Coast, preferably in Washington/DC Metro area, MD, and VA.

Requirements

  • 5+ years of experience in DevOps engineering, with a proven track record of building scalable, reliable, and high-performance infrastructure for production systems.
  • Proficiency in infrastructure-as-code tools (e.g Terraform, CloudFormation) with extensive hands-on experience designing and managing AWS cloud infrastructure.
  • Demonstrated expertise in CI/CD pipelines, automating deployment workflows, and ensuring seamless integration and delivery of code across multiple environments.
  • Knowledge of monitoring, logging, and observability tools (e.g., Prometheus, Grafana)
  • Deep understanding of containerization technologies like Docker and orchestration tools such as Kubernetes and Argo, including experience with scaling and securing containerized workloads.
  • Experience with high-availability systems, disaster recovery strategies, and building infrastructure that meets rigorous uptime and performance requirements.
  • Excellent communication and collaboration skills, with the ability to work closely with software engineers, product teams, and leadership to align infrastructure goals with business objectives.

Nice To Haves

  • Experience with compliance frameworks such as FedRAMP and CMMC, including implementing and maintaining infrastructure controls to meet certification requirements.

Responsibilities

  • Drive the development of scalable, high-performance infrastructure to support mission-critical applications, ensuring reliability, security, and efficiency across all systems.
  • Build and maintain CI/CD pipelines, automating code deployment processes to streamline delivery while maintaining high-quality standards.
  • Collaborate with cross-functional teams, including software engineers. machine learning engineers and product managers, to translate system requirements into scalable, reliable, and efficient infrastructure solutions.
  • Lead by example through mentoring and advocating for DevOps best practices, ensuring infrastructure is maintainable, reusable, and secure.
  • Optimize system performance through advanced monitoring, logging, and observability techniques, proactively identifying and resolving bottlenecks and issues.
  • Stay at the forefront of DevOps tools and methodologies, evaluating and adopting emerging technologies to continuously improve the infrastructure stack.
  • Write and maintain clean, scalable, and testable infrastructure code that adheres to modern DevOps standards, ensuring a robust and secure production environment.
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