Software Engineer-Platform Engineering

Responsibilities

• Design, build, and operate services and automations to manage Kubernetes clusters at scale.
• Partner with product management and technical leadership to break down complex system requirements into iterative milestones.
• Drive rigorous code reviews and maintainable coding patterns.
• Ensure high testing standards across unit, integration, and component testing.
• Manage and enhance cloud configurations across AWS and Azure using Terraform.
• Standardize metrics, alerts, and distributed tracing across core data pipelines.
• Identify technical debt, system bottlenecks, and single points of failure while balancing feature delivery with platform refactoring.
• Mentor junior engineers, lead technical sprint planning, and share expertise across distributed engineering teams.

Requirements

• 4+ years of professional software engineering experience building and operating resilient backend services at scale using Kubernetes.
• Experience with CAPI, EKS, and zero-downtime Kubernetes cluster upgrades, including node draining, API deprecations, and PodDisruptionBudgets.
• Experience using AI-assisted development tools, or a strong desire to learn.
• Hands-on experience implementing GitOps workflows with Argo CD and automated pipeline orchestration with Harness or an equivalent enterprise CI/CD platform.
• Strong hands-on experience with Shell, Terraform, YAML, and Go.
• Experience deploying and managing production workloads in cloud environments, ideally AWS or equivalent Azure services.
• Understanding of container networking, including VPC/VNet, pod IPAM, and CNI plugins.
• Proficiency with Terraform for infrastructure automation and maintaining environment parity.
• Understanding of distributed datastores, caching layers, and asynchronous event streaming such as Kafka.
• Strong computer science fundamentals, including data structures and self-healing cloud architectures.

Nice-to-haves

• Experience managing high-throughput applications in Docker and Kubernetes environments.
• Familiarity with canary and blue/green deployment strategies.
• Experience with OPA/Gatekeeper or similar policy-as-code enforcement in Kubernetes.
• Experience implementing OpenTelemetry or distributed tracing across decoupled microservice platforms.
• Exposure to network topology, proxy layers, or mail transfer agent protocol constraints.
• Multi-cloud migration or operations experience.

Compensation and Benefits

• Estimated annual pay ranges:
  • Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.: $138,700–$173,400
  • New York, New Jersey, Washington State, or California outside the San Francisco Bay area: $146,800–$183,600
  • San Francisco Bay area, California: $163,100–$203,900
• May be eligible for equity and a corporate bonus plan.
• Benefits generally include health insurance, a 401(k) retirement account, paid sick time, paid personal time off, paid parental leave, wellness leave, and other benefits.