Software Engineer I - Platform with Security Clearance

Black Eagle Defense

Fort Meade (MD)

On-site

USD 124,000 - 181,000

Full time

19 hours ago
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Job summary

Black Eagle Defense seeks a Software Engineer I - Platform to own and extend the AWS infrastructure, Kubernetes clusters, and security posture that power our AI capabilities. You will help build a reliable foundation for customer-facing AI services while supporting a broader ecosystem of AI-enabled applications.

In this role, you will deploy and maintain cloud infrastructure, create CI/CD pipelines, monitor production systems, and collaborate with teams to scale and secure the platform, ensuring

Qualifications

  • 3+ years of SWE experience in programs/contracts of similar scope, type, and complexity.
  • Bachelor's degree in Computer Science or related discipline from an accredited college or university.
  • 4 extra years of SWE experience on projects with similar software processes may substitute for a bachelor's degree.
  • Proficiency with Python or another modern programming language.
  • Familiarity with AWS or other cloud service providers.
  • Understanding of containerization concepts andDocker.

Responsibilities

  • Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes).
  • Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments.
  • Configure and use observability tooling to monitor the health and performance of production services.
  • Support certificate management and follow established security best practices for AI systems and data.
  • Collaborate with other teams to provision and configure the infrastructure their services depend on.
  • Diagnose and help resolve production infrastructure issues.
  • Design and code new software or modify existing software to add new features.
  • Debug existing software and correct defects.
  • Integrate existing software into new or modified systems or operating environments.

Skills

Cloud infrastructure deployment
AWS
Kubernetes
CI/CD pipelines
Infrastructure as code
Observability tools
Security practices
Containerization
Python or modern language
Collaboration
Troubleshooting
Software design and coding

Education

Bachelor's degree in Computer Science or related discipline

Tools

Docker
Kubernetes
AWS
Terraform
Helm/Kustomize
Argo CD
Kibana
Grafana/Prometheus

Job description

Job Description SALARY RANGE $124,000 - $181,000/year DUTIES As a successful candidate for the Software Engineer I - Platform role, you will support the Platform Team, which owns the AWS infrastructure, Kubernetes clusters, and security posture that every AI capability in the organization runs on. In this role, you'll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be deploying and maintaining reliable, secure infrastructure that our other AI services depend on.

Required Skills SKILLS * Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes)

  • Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments
  • Configure and use observability tooling to monitor the health and performance of production services
  • Support certificate management and follow established security best practices for AI systems and data
  • Collaborate with other teams in the organization to provision and configure the infrastructure their services depend on
  • Diagnose and help resolve production infrastructure issues
  • Design and code new software or modify existing software to add new features
  • Debug existing software and correct defects
  • Integrate existing software into new or modified systems or operating environments
  • Develop simple data queries for existing or proposed databases or data repositories
  • Provide recommendations for improving documentation and software development process
  • standards
  • Develop or implement algorithms to meet or exceed system performance and functional
  • standards
  • Assist with developing and executing test procedures for software components
  • Write or review software and system documentation
  • Develop software solutions by analyzing system performance standards, confer with users or
  • system engineers; analyze systems flow, data usage and work processes; and investigate problem
  • areas
  • Serve as team lead at the level appropriate to the software development process being used on
  • any particular project
  • Modify existing software to correct errors, to adapt to new hardware, or to improve its
  • performance
  • Design, develop and modify software systems, using scientific analysis and mathematical
  • models to predict and measure outcomes and consequences of design
  • Design or implement complex database or data repository interfaces/queries

QUALIFICATIONS Three (3) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.

  • Additional Requirements: * Proficiency with Python or another modern programming language
  • Familiarity with AWS or other cloud service providers
  • Understanding of containerization concepts and tooling such as Docker
  • Ability to learn new technologies quickly
  • Strong communication skills and a willingness to ask questions
Desired Skills
  • NICE-TO-HAVES * Experience with AWS services such as EKS, Terraform, and IAM
  • Experience with Kubernetes and Helm/Kustomize
  • Experience with Argo CD and/or other CI/CD frameworks
  • Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices
  • Experience with certificate management * Experience supporting cloud-native architecture or maintaining production software and infrastructure
  • Familiarity with LLMs and AI hosting concepts
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