Senior Platform Engineer

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.

• 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 code, design, and operational quality, and contribute to the team's technical roadmap.
• Create and maintain clear documentation for platform components, runbooks, and engineering standards.

• Bachelor’s degree in computer science, information technology, or a related field, or equivalent work experience.
• 5+ years of hands-on platform, DevOps, SRE, or cloud infrastructure engineering experience.
• Strong experience with Kubernetes as part of a broader cloud-native architecture, enabling scalable and reliable platform services.
• Deep background in DevOps practices, including designing, implementing, and operating automated CI/CD pipelines for efficient and reliable software delivery across multiple environments.
• Skilled in Infrastructure as Code (IaC) using Terraform (or equivalent) to provision and manage cloud infrastructure consistently and securely.
• Proficiency in at least one scripting or programming language (e.g., Python, Go, Bash) for automation, integrations, and platform tooling.
• Solid understanding of security standards and best practices, and how to apply them across the platform and deployment lifecycle.
• Strong experience with Git or other version control systems and modern branching/release workflows.
• Excellent teamwork and communication skills, with the ability to work effectively with cross-functional teams and stakeholders, and to explain technical trade-offs clearly.
• Strong documentation, analytical, and problem-solving skills.
• In-depth understanding of Agile methodologies, including Scrum and Kanban.

• Application development experience — prior experience building or contributing to production applications, and the ability to bring an application-developer perspective to platform tooling, APIs, and integrations.
• Experience working with monitoring and observability tooling, including the GLTM stack (Grafana, Loki, Tempo, Mimir), to support platform reliability and developer self-service.
• Experience with multiple major cloud providers (AWS, Azure, or GCP).
• Relevant certifications, such as Certified Kubernetes Administrator (CKA) or cloud-specific certifications.
• Experience working in high-performing Agile teams that leverage tools such as GitLab and Jira to manage priorities and governance.
• A track record of incrementally evolving platforms and tooling to better support the organization’s strategy.
• Knowledge and understanding of SDLC methodology and agile software development.
• Ability to manage multiple priorities and assess and adjust quickly to changing priorities.
• A drive for improvement and an inclination to thoughtfully challenge the status quo.