Senior Platform Engineer

Job summary

The Senior Platform Engineer role is centered on developing and maintaining the platform infrastructure for Data & ML Platforms using Kubernetes and cloud technologies. Responsibilities include designing platform capabilities, implementing Kubernetes controllers in Go, mentoring engineers, and collaborating across teams to enhance platform usability and adoption.

Qualifications

• strong experience building cloud-native platforms on AWS, GCP, or Azure
• deep understanding and hands on experience of Kubernetes
• proficient in Go, particularly for building backend services, CLIs, or Kubernetes controllers/operators
• experienced with GitOps and CI/CD systems
• understand how to build reliable, automated delivery pipelines
• understand distributed systems and have experience designing scalable, resilient architectures
• experience building self-service platforms or internal developer platforms (IDPs)
• care deeply about developer experience, usability, and reducing cognitive load through good abstractions
• communicate clearly and enjoy collaborating across teams to drive platform adoption

Responsibilities

• Collaborate on the design and implementation of platform capabilities using Kubernetes-native patterns and event-driven architectures.
• Drive the adoption of platform engineering principles, building reusable abstractions and self-service workflows for internal users.
• Design and implement Kubernetes controllers/operators in Go to automate infrastructure and application lifecycle management.
• Mentor engineers and contribute to growing platform engineering practices across our pillar in the Data and ML Platform teams.
• Collaborate across teams to align on platform interfaces, abstractions, and shared infrastructure patterns.
• Support the hiring of new engineers as we expand the team, setting the bar on quality of code and collaboration.

Skills

Relocation