Software Engineer - Tools and Applications (SWE1) [D.26.0173]

• 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.
• Skills 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.

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.

YOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Salary Range: $163k-$178k per year with an additional $41k-$44k in immediately vested company 401(k) contributions