About the role
Responsibilities:
- Contribute to and deliver on our vision for fully automated, scalable, and highly available Kubernetes infrastructure to support the growth and innovation of the company
- Manage the quarterly and annual planning, team objectives, individual goals, deliverables, hiring, development plans, and performance reviews.
- Provide technical guidance for the Kubernetes platform and tooling and participate in architectural reviews with engineering leads.
- Own availability, reliability, and risk management for production systems at scale.
- Incorporate best-in-class cloud-native engineering practices and tooling, leverage and contribute to open-source projects, and help the team deliver in-house software and automation for our requirements
- Manage and develop the India-based engineering team as an integral part of a globally distributed engineering organization, maintaining close day-to-day collaboration with counterparts in Dublin/EMEA and partners in US and APAC regions.
- Collaborate with peer teams on complex, global engineering efforts, building consensus on architecture, coordinating resources, and driving issues and timelines through to completion, even where the work spans multiple teams.
Requirements:
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
- 12+ years of experience building production infrastructure and automation, including substantial hands-on experience with Linux, distributed systems, software development, and containerization technology. Experience building and operating Kubernetes is highly desirable.
- 5+ years managing systems and software engineers, with a track record of hiring, developing, and retaining strong engineers and building teams that deliver.
- Fluency with the components of modern cloud infrastructure, including hyperscaler services, Kubernetes, cloud-native networking and load balancing, service mesh, CI/CD, and GitOps tooling such as Terraform, ArgoCD, and Crossplane
- Prior experience in software development/engineering, release management, DevOps, and managing large-scale server infrastructure in a 24/7 environment.
- The ability to lead effective incident response for the platform, distill root causes and lessons learned, and drive the resulting improvements through to completion, whether the fix lives within the team or requires influencing other engineering groups.