Principal Cloud Platform Engineer

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

The Principal Cloud Platform Engineer will join an agile engineering team responsible for designing, deploying, and maintaining high-throughput services for a core mission analytic platform. The role involves modernizing and sustaining critical application codebases, automating containerized packaging and orchestration pipelines, and implementing infrastructure as code. The engineer will also provide hands-on technical support to the team, conduct peer reviews, and help resolve obstacles to maintain mission momentum. An active security clearance at the TS/SCI polygraph level is required. The annual base salary range is $209,000–$247,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

  • Active security clearance at the TS/SCI polygraph level.
  • Proven experience developing, debugging, maintaining, and updating enterprise application code in Java or C++/Go across modern development frameworks.
  • Hands-on experience building, optimizing, and securing OCI-compliant container images using Docker.
  • Direct experience configuring and deploying applications to Kubernetes clusters, including creating and managing Helm charts.
  • Practical proficiency automating cloud or on-premise infrastructure provisioning using Terraform.
  • A strong track record of providing direct technical support to engineering teammates, conducting code reviews, and resolving integration roadblocks in an agile environment.
  • Bachelor’s degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, plus 14 or more years of professional experience in data science, NLP, or software engineering; alternatively, a high school diploma or GED plus 18 or more years of specialized technical experience in lieu of a degree.

Nice To Haves

  • Experience refactoring legacy Java applications to modern LTS versions such as Java 17 or 21 and microservice frameworks such as Spring Boot or Quarkus.
  • Experience configuring continuous integration and automated deployment pipelines using GitLab CI, Jenkins, or ArgoCD.
  • Familiarity with cluster observability and logging stacks such as Prometheus, Grafana, OpenSearch, or Fluentbit.
  • Experience applying container hardening standards such as distroless base images and CVE scanning via Trivy, and aligning with mission security guidelines such as DISA STIGs.
  • Familiarity with message brokers or distributed data engines such as Apache Kafka, Apache Spark, or Elasticsearch within cloud-native analytic architectures.

Responsibilities

  • Design, deploy, and maintain high-throughput services for a core mission analytic platform.
  • Modernize and sustain critical application codebases.
  • Automate containerized packaging and orchestration pipelines.
  • Implement infrastructure as code.
  • Provide hands-on technical support to engineering teammates.
  • Conduct peer reviews.
  • Resolve integration roadblocks in an agile environment.
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