Remote - US
Remote
Junior
Full Time
8 days ago
💰$116,960 - $146,200
remotekubernetesterraformawsazureai-assisted developmentci/cdgitops
Requirements
- •1-2+ years of professional software engineering experience
- •Exposure to building or operating backend services using Kubernetes
- •Familiarity with basic Kubernetes operations (deployments, pods, services)
- •Practical experience with or strong desire to learn AI-assisted development tools
- •Exposure to GitOps workflows and CI/CD pipelines
- •Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang)
- •Some experience with cloud environments, ideally AWS or Microsoft Azure
- •Basic familiarity with Terraform or similar Infrastructure as Code tools
- •Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming
- •Solid computer science fundamentals and data structures knowledge
What You'll Do
- •Help design, build, and operate services and automations that support Kubernetes clusters at scale under 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 (unit and integration testing)
- •Support cloud configurations across AWS and Azure environments using Infrastructure as Code (Terraform)
- •Help maintain observability coverage including metrics, alerts, and basic distributed tracing across core data pipelines
- •Build awareness of clean architectural practices and flag technical debt, bugs, and small-scale system issues
- •Actively seek feedback and mentorship from senior engineers
- •Participate in sprint planning and share learnings with peers to grow into a more senior role
Nice to Have
- •Exposure to containerized infrastructure (Docker, Kubernetes) in coursework, internships, or projects
- •Curiosity about advanced deployment strategies (canary, blue/green)
- •Interest in policy-as-code tools such as OPA/Gatekeeper
- •Interest in OpenTelemetry or distributed tracing concepts
- •Exposure to network topology, proxy layers, or mail transfer agent (MTA) protocols
- •Coursework or personal projects involving distributed datastores, caching, or event streaming
- •Interest in multi-cloud environments
Benefits
- •Competitive pay
- •Generous time off
- •Ample parental and wellness leave
- •Healthcare
- •Retirement savings program
- •Equity plan participation
- •Corporate bonus plan
- •Paid sick time
- •Paid personal time off
- •Paid parental leave
