Why This Role Stands Out
This hybrid role offers an exceptional opportunity to build a strong foundation in cloud infrastructure and security with a competitive salary and significant career growth potential. You'll thrive here if you are a proactive learner with a passion for secure, scalable AI platforms and enjoy collaborating within a reputable technology company. Apply now to contribute to cutting-edge AI solutions and advance your engineering expertise.
Quick Overview
Job Description
Software Engineer We're seeking a software engineer to support our 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.
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 in the organization to provision and configure the infrastructure their services depend on.
- Diagnose and help resolve production infrastructure issues.
Required Skills
- 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.
- 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.
- Familiarity with LLMs and AI hosting concepts.
Experience Required: 3 years with Bachelor's degree in a technical discipline or 7 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $138,000 - $163,000
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