Sr. Platform Engineer

Your Job

As a Sr Platform Engineer, you will be a senior technical contributor on the team responsible for our Kubernetes based enterprise platform that enables application development, deployment, and management across environments.

You will design and implement platform capabilities, lead complex troubleshooting and improvement efforts, and raise the engineering bar across the team.

You will partner closely with product and engineering teams to keep the platform stable, scalable, and secure, while continuously advancing our automation, reliability, and security practices.

You will also mentor other engineers and help shape technical direction within the team.

Our Team

The Platform Engineering Team is dedicated to hosting and managing a reliable, secure platform in the cloud to support all enterprise applications and users.

We are accountable for delivering stable platform services by leveraging a diverse set of tools and providing comprehensive support across the organization.

Committed to collaboration, we work as a cohesive global team to break down silos, harness individual and collective strengths, and drive innovation that creates a competitive advantage and exceptional value for our customers.

What You Will Do



* Design, build, and operate stable, efficient platform infrastructure and cloud environments across development, testing, and production, including the tooling and automation teams depend on.


* Drive a consistent DevOps approach across the team by building, evolving, and owning CI/CD pipelines and deployment automation, and helping other teams adopt them effectively.


* Design, deploy, and operate a highly available, company-wide AI gateway that provides secure, standardized access to approved AI models, with capabilities such as model routing, provider abstraction, failover, rate limiting, and usage quotas.


* Develop authentication and authorization frameworks for AI services, including models, MCP servers, and agent-to-agent communication, along with guardrails for sensitive data, logging, and responsible AI usage.


* Provide observability into AI usage, latency, token consumption, and cost, and integrate the gateway with internal developer platforms, applications, and agents while minimizing dependence on any single AI vendor.


* Strengthen platform and application security throughout the deployment lifecycle by applying security standards, hardening defaults, managing identity and access, and partnering with security teams.


* Lead complex troubleshooting and own major incidents end to end, from diagnosis and root cause analysis to durable fixes and improved reliability and response processes.


* Partner with Architects to align platform capabilities with the broader technical direction and architectural standards.


* Contribute to backlog refinement and review, ensuring acceptance criteria are clearly defined and delivered.


* Mentor other platform engineers, raise the bar on ...