Senior Platform Engineer (OpAI)

The Marlin AllianceSan Diego, CA
5d$110,000 - $180,000Onsite

About The Position

The Marlin Alliance, Inc. is seeking a Senior Platform Engineer (OpAI) supporting Naval Operational Architecture. The successful candidate will play a critical role in operationalizing AI for next-generation naval platforms and systems. Focus is on building and managing secure, scalable cloud-based environments to support advanced analytics, AI/ML workloads, and autonomous systems. This position involves hands-on engineering with cutting-edge technologies, close collaboration with cross-functional teams, and direct support of mission-critical DoD capabilities. Your work will directly enhance the warfighters ability to execute distributed maritime operations and maintain tactical superiority. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. Citizenship and Clearance requirements: U.S. Citizenship required No dual citizenship Active TS security clearance required Active TS SCI security clearance preferred

Requirements

  • Experience working as a cloud engineer, cloud administrator, cloud architecture, DevOps engineer, IT Specialist, platform engineer, site reliability engineer, release engineer, systems administrator, systems engineer, or similar role.
  • Strong knowledge of either cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
  • Some proficiency in scripting languages (e.g., Python, Bash) for automation tasks.
  • Some experience with Infrastructure as Code (e.g., Terraform, Ansible) for configuration management.
  • Some proficiency with Linux system administration.
  • Strong problem-solving and analytical skills.
  • Excellent communication skills and the ability to collaborate in a team environment.
  • Familiarity with cybersecurity principles and best practices for platform security.
  • Ability to transport/move heavy equipment (50lbs) on planes and ships.

Nice To Haves

  • Knowledge of advanced networking topics, e.g, VPCs, TCP/IP, TLS, etc.
  • Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines, e.g., GitHub Actions, GitLab CI, or Jenkins.
  • Experience with monitoring and logging tools for platform health and performance, e.g,. CloudWatch, Grafana, or Elasticsearch.
  • OpenShift or Kubernetes
  • Airflow
  • Kafka
  • RabbitMQ
  • Apache Kibana
  • Adapting open-source products to work with GovCloud
  • Domino Data Labs
  • Tobias
  • Fiddler
  • Experience with monitoring/logging tools such as CloudWatch or Grafana
  • Experience supporting government or military organizations
  • Relevant certifications such as AWS Solutions Architect, Kubernetes Administrator (CKA), or Security+ strongly preferred.

Responsibilities

  • Design, build, and maintain secure cloud infrastructure within AWS GovCloud environments.
  • Configure and manage container orchestration platforms such as Kubernetes and OpenShift.
  • Implement Infrastructure as Code (IaC) solutions using Ansible, Terraform, or CloudFormation.
  • Support secure data flow across multiple systems, ensuring compliance with DoD cybersecurity standards and STIG requirements.
  • Collaborate with DevSecOps teams to streamline deployment pipelines and container management.
  • Optimize cloud resources for performance, scalability, and cost-effectiveness.
  • Troubleshoot and resolve complex issues within cloud, networking, and containerized environments.
  • Partner with AI/ML engineers and software developers to deploy and integrate advanced analytics platforms and tools.
  • Maintain detailed technical documentation to support system operations and compliance.
  • Provide technical guidance and mentorship to junior engineers and team members.
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