Software Engineer

Responsibilities

• Design, build, and operate services and automations that support Kubernetes clusters at scale under the guidance of senior engineers.
• Work with product management and technical leadership to turn well-scoped tasks into working code.
• Participate in code reviews and follow established patterns and testing standards, including unit and integration testing.
• Support cloud configurations across AWS and Azure using Terraform.
• Maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines.
• Identify technical debt, bugs, and small-scale system issues.
• Participate in sprint planning, seek feedback and mentorship, and share knowledge with peers.

Requirements

• 1–2+ years of professional software engineering experience, including exposure to building or operating backend services using Kubernetes.
• Familiarity with Kubernetes operations, including deployments, pods, and services.
• Experience with or willingness to learn AI-assisted development tools such as Claude Code.
• Exposure to GitOps workflows such as ArgoCD and CI/CD pipelines such as Harness or equivalent platforms.
• Working knowledge of at least one of Shell, Terraform, YAML, or Go, with willingness to build proficiency across the others.
• Experience with cloud environments, ideally AWS services such as EC2, S3, and EKS, or Azure equivalents such as Virtual Machines, Blob Storage, and AKS.
• Familiarity with networking concepts such as VPC/VNet basics.
• Basic familiarity with Terraform or similar infrastructure-as-code tools.
• Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming such as Kafka.
• Solid computer science fundamentals and data structures knowledge.

Nice-to-haves

• Exposure to Docker and Kubernetes through coursework, internships, or professional projects.
• Interest in canary and blue/green deployment strategies.
• Interest in policy-as-code tools such as OPA/Gatekeeper.
• Interest in OpenTelemetry or distributed tracing.
• Exposure to network topology, proxy layers, or mail transfer agent protocols.
• Coursework or personal projects involving distributed datastores, caching, or event streaming.
• Interest in multi-cloud environments.

Compensation and Benefits

• Estimated salary range of $116,960.00 to $146,200.00 for candidates based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.
• May be eligible for equity and corporate bonus plans.
• Benefits include health care insurance, a 401(k) retirement account, paid sick time, paid personal time off, and paid parental leave.
• Benefits and compensation vary by location.