Lead SRE initiatives across multiple projects and products, collaborating with cross-functional teams to shape platform and infrastructure engineering efforts across the organization.
Drive technical excellence by mentoring and guiding engineers, fostering a culture of continuous learning and innovation.
Architect and automate self-healing, fault-tolerant infrastructure with declarative configurations, GitOps, and event-driven automation for scalable deployments across public clouds and on-premise.
Design, develop, and maintain software-driven infrastructure automation to build internal tools and eliminate repetitive operational tasks.
Own and drive decisions on product deployment, performance tuning, monitoring, and alerting to ensure high availability and system efficiency in production.
Define key metrics and SLAs around new web services being created to support our rapid traffic growth.
Design and implement monitoring and alerting strategies to enforce application SLAs.
Requirements
At least 6 years of experience managing distributed cloud environments (GCP, AWS, vSphere, Nutanix) and platform automation at scale.
Deep expertise in container orchestration (Kubernetes) and container runtimes (Docker, containers), with the ability to design, scale, and troubleshoot complex workloads.
Expert-level understanding of networking and web concepts, with the ability to debug issues down to the packet level.
Strong experience developing software for automation and infrastructure tooling (Go, Python).
Strong understanding of Linux-based operating systems, including performance tuning, bootloaders, storage, partitioning, kernel debugging, and low-level system optimizations.
Experience with Infrastructure as Code (IaC) and configuration management tools (Terraform, Ansible, Chef, etc.), ensuring scalable and repeatable infrastructure provisioning.
Understanding of applications written in various programming languages (C#/.NET, Java, Elixir, Ruby, etc).
Experience in AWS Greengrass IoT management and A/B booting.