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Software Engineer, AWS, DevOps

Job in Fargo, Cass County, North Dakota, 58102, USA
Listing for: Eliassen Group
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AWS, DevOps, Java Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 70 - 75 USD Hourly USD 70.00 75.00 HOUR
Job Description & How to Apply Below

Software Engineer

Anywhere

Type: Contract

Category: Development

Industry: Government

Workplace Type: Remote

Standard

Hours:

Open

Description

Onsite/Hybrid in Gaithersburg, MD or Ashburn, VA

Our client seeks Software Engineers at all levels to design, develop, troubleshoot, and debug Java-based microservices and platform capabilities. The role includes cloud system ownership in AWS Gov Cloud, Dev Sec Ops  engineering across CI/CD and security gates, AI-driven automated test generation, and migration engineering across container platforms. T3 operates independently and mentors junior staff. T4 owns key objectives across multiple technical areas.

T5 influences strategic goals and leads technical staff.

Due to federal security clearance requirements, applicant must be a United States Citizen with an active Public Trust clearance. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $75.00/hr. w2

Responsibilities:
  • Design, develop, troubleshoot, and debug Java services using Spring and Spring Boot in a microservices architecture.
  • Own containerized services end to end in AWS Gov Cloud, including deployment, observability, autoscaling, and incident response.
  • Build and operate Dev Sec Ops  pipelines with CI/CD, embedding security gates and scanning into Java build and deploy processes.
  • Use AI tools for automated test-script generation, maintenance, and integration into prompts and pipelines.
  • Execute migration engineering across ECS, EKS, and Open Shift, including task definition and Kubernetes manifest conversions, registry moves, and ingress remapping.
  • Support on-prem to AWS migrations for containerized workloads with cutover planning, parallel runs, connectivity, and rollback strategies.
  • Contribute to secure SDLC practices, including SAST, DAST, SCA, IaC scanning, SBOM, image signing and scanning, secrets management, and policy as code.
  • Collaborate within SAFe Agile teams and communicate technical decisions, requirements, and issues clearly.
Experience Requirements:
  • 5+ years of Recent, hands-on Java development with Spring/Spring Boot and microservices.
  • Cloud-based Java development in AWS, preferably AWS Gov Cloud.
  • Linux proficiency for development and operations.
  • Cloud system ownership with container platforms such as Amazon ECS, Amazon EKS, and Red Hat Open Shift.
  • Dev Sec Ops  engineering experience with CI/CD platforms and security integrations.
  • AI-assisted software development used throughout coding, engineering, requirements, testing, debugging, and analysis. Experience with Anthropic models such as Claude, Sonnet, Opus, and Haiku is relevant.
  • Knowledge of observability tooling including Cloud Watch, Prometheus, and EFK.
  • Experience with FISMA High or FedRAMP High environments, including STIG hardening, NIST 800-53 controls, SSP/ATO support, continuous monitoring, and POA&M.
  • Familiarity with Kubernetes concepts including Helm, operators, Network Policies, and Ingress.
Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

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