Jobs at The Marlin Alliance, Inc.

Serve as a technical SME on DoD tactical communications and SDR systems, analyze system-of-systems interoperability, develop technical specifications and integration guidance, represent clients in working groups, apply digital engineering practices, mentor junior engineers, and provide cybersecurity- and spectrum-aware recommendations to enable joint-force communications integration.

Lead design and delivery of enterprise-scale RPA and automation solutions for a Navy customer. Translate mission needs into technical roadmaps, select technologies, produce architecture documentation, mentor engineering teams, enforce engineering best practices, assess automation and integration opportunities, and support proposals and delivery in Agile/DevSecOps environments.

Design, develop, and deploy advanced machine learning models for naval applications. Build cloud-native ML pipelines, apply distributed computing and MLOps/CI-CD practices, integrate models into operational DoD environments, and produce technical documentation per government standards. Collaborate with multidisciplinary teams and apply cybersecurity principles for secure shipboard and edge deployments.

Design, build, test, and maintain UiPath robotic automations; evaluate automation opportunities; collaborate with engineers and SMEs; perform code reviews; document and share best practices to meet delivery objectives for a Navy customer.

This is a general candidate pool for future San Diego-based opportunities at a digital transformation firm. Candidates should have an active or attainable US Secret clearance, a minimum of three years' experience, working knowledge of Microsoft Office, strong communication and workload management skills, and be local or willing to relocate at their own expense. Positions are contingent on contract award and require minimal travel.

Design, build, and optimize secure data pipelines and stores for a Navy client. Convert tactical data formats, implement MIL-STD message handling, orchestrate ETL with Airflow/Kafka/Step Functions, support Cross-Domain Solutions, enable real-time indexing/querying, and present technical data flows to leadership.

Engineer tactical communications standards and architectures, analyze system-of-systems interoperability, support SDRs and waveforms, modernize interface specifications, apply MBSE, scripting, AI/ML and automation, and support integration guidance and stakeholder collaboration for DoD customers.

Design, build, test, and maintain UiPath robotic automations. Architect secure, scalable solutions, assess automation opportunities, perform code reviews, mentor junior developers, and support delivery within Agile/CI environments for a Navy client.

Support SMEs to identify, evaluate, and integrate AI/ML capabilities (especially for waveform analysis) into workflows. Provide integration guidance, documentation, training, troubleshooting, and cross-functional collaboration. Support data analysis and build Power BI dashboards, enabling data-driven decisions in a DoD environment. Requires active clearance and stakeholder enablement.

Design, build, and maintain secure AWS GovCloud infrastructures and container platforms (Kubernetes/OpenShift). Implement IaC (Terraform/Ansible/CloudFormation), support DevSecOps pipelines, ensure DoD cybersecurity/STIG compliance, optimize cloud resources, troubleshoot cloud/network/container issues, integrate AI/ML platforms, produce documentation, mentor junior engineers, and support mission-critical naval systems.

Design, build, and operationalize secure data pipelines and analytics for Naval and DoD missions. Develop event-streaming and distributed systems, normalize multi-format data, deploy cloud-native and containerized solutions, work with GIS and operational environments, and collaborate with cross-functional teams while meeting shipboard and Navy safety requirements.

Design, develop, and deploy machine learning models and data pipelines for naval applications. Build and optimize distributed, cloud-native analytics and event-streaming systems, work with multiple data formats and GIS tools, containerize and monitor deployments, apply DoD security practices, and collaborate with multidisciplinary teams to deliver mission-ready AI solutions in shipboard and operational Navy environments.

Design and implement scalable data architecture and storage (cloud/on-prem), build and maintain ETL pipelines, enforce data governance and security, ensure data quality, evaluate technologies, collaborate with analysts and data scientists, and document data assets.

Lead design, development, and deployment of machine learning models and cloud-native MLOps pipelines for naval/DoD applications. Work across multidisciplinary teams to implement scalable, secure ML solutions, support CI/CD and DevSecOps, and meet shipboard and operational requirements.