Jr. Software Engineer (Java / Python)

Our client, a leading federal defense contractor is seeking Jr. Software Developers with strong Java and Python responsible for developing and deploying the state-of-the-art ground operational systems.

The position is mostly remote; however, due to the clearance requirement and the need to come onsite occasionally for team meetings, testing, etc., candidates will need to live near one of the following locations:

- Scottsdale, AZ (preferred)
- Colorado Springs, CO
- Northern Virginia
- California (Bay Area)
- Massachusetts (Taunton locations)
- Pittsburg, PA

Responsibilities:
- Maintains hardware, software, and related components of project
- Performs infrastructure requirements analysis, participates in research, designs, develops, and tests software and tools, to include development of new work products or enhancing existing applications, systems, or embedded products.

- Must be able to obtain DoD Top Secret Clearance (active Secret or Top Secret is preferred at time of hire)
- Requires a Bachelor-s degree in Software Engineering, or a related STEM degree and 2+ years of job-related experience, or a Master's degree and 6 months of job-related experience.

Technical Skills:

Programming and Development:
- Proficiency in Python and Java
- Strong understanding of API design, testing, development, and management
- Familiarity with Scaled Agile methodology and best practices

DevOps and Cloud:
- Knowledge of DevOps principles, including CI/CD pipelines, GitOps, automation, configuration management, and infrastructure as code
- Experience with AWS (AWS Solutions Architect preferred), Azure is a plus
- Familiarity with containerization tools such as Docker and Kubernetes

Security:
- Understanding of security best practices, risk, compliance, vulnerability management, encryption, PKI, incident response, auditing, and monitoring

Collaboration and Communication:
- Strong ability to work effectively with development, operations, and security teams
- Excellent problem-solving and analytical skills
- Proficient in generating documentation and sharing knowledge

Artificial Intelligence:
- Experience with prompt engineering and AI tools to accelerate workloads

Tools:

CI/CD and Development:
- GitLab, Nexus Managed Artifacts, Ansible, Terragrunt, ArgoCD
VS Code, Maven

Cloud and Containerization:
- AWS: EKS, EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail
- Kubernetes, Docker

Security, Monitoring, and Logging:
- ACAS/Grype vulnerability scanning, SIEM (Splunk), Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)

Version Control and Collaboration:
- Git, Jira, Confluence