At a glanceSummarised by Seekless from the posting.
Must have5
Bachelor’s degree in computer science, computer engineering, data science, or a related technical discipline
Three or more years of relevant software development experience
Demonstrated ability to write, test, debug, and document code used in production, lab, or proof-of-concept delivery
Hands-on delivery experience with AWS or Kubernetes/containerized applications
Experience with APIs, integrations, automation, data-intensive applications, ETL, or data pipelines
Nice to have7
AWS experience with data, integration, analytics, or application services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, or Amazon RDS
Experience delivering containerized workloads with Kubernetes or another container platform
Experience with REST APIs, SQL, event-driven systems, workflow orchestration, or cloud-native application design
Experience with source control, CI/CD, automated testing, infrastructure automation, or DevSecOps
Exposure to data science or AI/ML workflows, model-ready data, search, or cloud-hosted model services
Experience in classified, regulated, or Department of Defense environments
Relevant AWS, Kubernetes, software-development, or cybersecurity certifications
Eligibility3
Ability to work onsite at JWAC in Dahlgren, Virginia
Ability to obtain and maintain required TS/SCI and SAP access
Ability to meet DoD workforce qualification requirements
Skills
Python
AWS
Kubernetes
REST APIs
SQL
AWS Glue
Amazon Athena
Amazon Redshift
Amazon Kinesis
AWS Lake Formation
Amazon RDS
CI/CD
DevSecOps
ETL
Benefits
Health insurance
401(k)
Disability insurance
Pet insurance
Professional development reimbursement
Commuter benefits
About the role
DNI is seeking a Software Developer to support the Joint Warfare Analysis Center (JWAC) under Air Force JWAC IT Services (JITS). This role applies software development to cloud-based data services: building reliable code, integrations, APIs, automation, and pipeline components that help move, prepare, and deliver data for analytics and AI/ML use.
This profile is aimed at developers who want to work closer to data and cloud platforms—not only traditional application feature development. Hands-on delivery in AWS or Kubernetes/container environments is important; experience with both is a plus.
Responsibilities
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Design, code, test, debug, document, and maintain software components across the delivery lifecycle.
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Build or extend data-pipeline and ETL components that ingest, transform, validate, and publish structured or unstructured data.
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Develop APIs, web services, integrations, serverless functions, and workflow automation that connect data sources, applications, and analytics services.
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Help prepare reliable, well-documented datasets for analytics, feature engineering, model training, and inference.
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Deliver software into AWS cloud services or Kubernetes/containerized environments; contribute to deployment automation and CI/CD practices.
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Improve reliability through automated testing, monitoring, logging, alerting, troubleshooting, and corrective maintenance.
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Apply secure development practices, including least-privilege access, data protection, and security checks in the delivery workflow.
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Work with cloud engineers, data scientists, analysts, cybersecurity staff, and Government stakeholders to clarify needs and deliver practical solutions.
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Evaluate performance, operational effort, and cloud cost when recommending or improving an implementation.
Requirements
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Bachelor’s degree in computer science, computer engineering, data science, or a related technical discipline.
•
Three or more years of relevant software development experience, including hands-on work across the software development lifecycle.
•
Demonstrated ability to write, test, debug, and document code used in production, lab, or proof-of-concept delivery.
•
Hands-on delivery experience with AWS or Kubernetes/containerized applications. Experience with both is a plus.
•
Experience with APIs, integrations, automation, data-intensive applications, ETL, or data pipelines—or a strong demonstrated interest in building these capabilities.
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Ability to work onsite at JWAC in Dahlgren, Virginia, and to obtain and maintain the required TS/SCI and SAP access, as applicable to the assignment.
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Ability to meet the DoD workforce qualification requirements applicable to the assigned duties; final work-role details must be confirmed before posting.
Preferred qualifications:
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AWS experience with data, integration, analytics, or application services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, or Amazon RDS.
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Experience delivering containerized workloads with Kubernetes or another container platform.
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Experience with REST APIs, SQL, event-driven systems, workflow orchestration, or cloud-native application design.
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Experience with source control, CI/CD, automated testing, infrastructure automation, or DevSecOps.
•
Exposure to data science or AI/ML workflows, model-ready data, search, or cloud-hosted model services.
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Experience in classified, regulated, or Department of Defense environments.
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Relevant AWS, Kubernetes, software-development, or cybersecurity certifications.
Benefits
Benefits Include:
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Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
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Matching 401K
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Short- and Long-Term Disability
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Pet Insurance
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Professional Development/Education Reimbursement
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Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas
Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
Salary Compensation: $150,000-$170,000
Legal
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans