Senior Engineer, Internal Developer Platform

This role is responsible for designing, building, and operating cloud platform and Dev Ops capabilities across AWS and GCP. The engineer will enable reliable, secure, and scalable delivery by developing Kubernetes and Infrastructure-as-Code foundations, building and maintaining CI/CD pipelines, and driving automation, observability, and operational best practices across engineering teams.

Position Compensation Range: $99,000.00 - $. Pay Rate Type:
Salary. Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

• Proven experience in designing, implementing, and managing an internal developer portal, preferably with Backstage.io.
• A strong desire to improve the developer experience by creating self‑service tools and streamlining workflows.
• Expertise in developing custom Backstage plugins and customizing the platform using Type Script, Node.js, and React to meet the unique needs of our developers.
• Experience configuring and managing the Backstage Software Catalog to provide a unified view of services, documentation, and tooling.
• Ability to create and maintain software templates using Backstage's Scaffolder to standardize project creation and enforce best practices.

• Extensive experience with at least one major cloud provider (AWS, GCP) and familiarity with the other.
• Expertise in core services like VPC, IAM, S3, and managed Kubernetes (EKS, GKE).
• Proficiency in Infrastructure as Code (IaC) principles and hands‑on experience with tools like Terraform to automate the provisioning and management of cloud resources.
• Experience with Crossplane.io to manage cloud services and infrastructure through a unified, Kubernetes‑native API.
• Strong understanding of containerization technologies, including Docker and Kubernetes, and their ecosystems.

• Solid experience with CI/CD principles and proficiency in building and maintaining pipelines using Git Lab CI/CD.
• Experience integrating various tools into CI/CD pipelines to automate builds, testing, and deployments.
• Proficiency in managing software artifacts and dependencies using JFrog Artifactory.
• A strong scripting and automation skill set using languages like Python, Go, or Bash.

• A solid understanding of SRE principles, including Service Level Objectives (SLOs), error budgets, and a focus on reliability, scalability, and performance.
• Hands‑on experience with Datadog for full‑stack observability, including setting up monitors, creating dashboards, and using APM for distributed tracing.
• A proactive approach to identifying and resolving platform issues before they impact developers.
• Experience in troubleshooting complex, distributed systems and a methodical approach to problem‑solving.

• Strong programming skills in languages such as Python, Type Script, and JavaScript.
• Experience with web development fundamentals and API design (REST, GraphQL).
• A solid understanding of software development lifecycle (SDLC) best practices, including version control with Git.
• Demonstrated knowledge of modern SDLC practices and operating models (e.g., Agile, product‑based teams, platform‑as‑a‑product).
• Demonstrated experience delivering and operating cloud platforms in both AWS and GCP, including core services for compute, storage, networking, IAM, and managed Kubernetes.
• Demonstrated experience designing, building, and operating Kubernetes platforms and tooling (e.g., cluster lifecycle, upgrades, workload onboarding patterns, ingress, service discovery, secrets/config management).
• Demonstrated experience with Infrastructure as Code and reusable module patterns across cloud providers (e.g., Terraform; Cloud Formation as needed), including pipeline integration, versioning, and promotion strategies.
• Demonstrated experience with CI/CD tooling and practices (e.g., Jenkins, Git Lab CI, Git Hub Actions, Bitbucket pipelines), including build/test/release automation, artifact management, and environment deployment…