In this role, you will operate as a technical owner within a highly collaborative environment that balances rapid execution with technical excellence. You will independently drive initiatives from concept to production, gain deep exposure to cutting-edge cloud architectures and modern tooling, and directly shape the technical direction of the team.
5 years of hands-on experience in infrastructure engineering, DevOps, or software engineering.
Solid coding skills in Go, or Python to build and extend Kubernetes ecosystems (custom controllers, operators, admission webhooks, or cloud-native tooling).
Experience building full-stack internal tools, integrating modern frontends (Vue, React, or Svelte) with Go or Python backends and APIs.
Experience operating infrastructure on AWS, GCP, and/or Azure.
Experience with Infrastructure as Code tools such as Terraform, Pulumi, and Helm.
Experience building and maintaining CI/CD pipelines.
Exposure to AI-assisted or AI-infused automation in DevOps workflows (e.g., using LLM-based tools, copilots, or intelligent agents for scripting, incident triage, or pipeline optimization).
Hands-on experience with Splunk, Prometheus, and Grafana.
BS or MS in Engineering, Computer Science, or equivalent education/experience.
8 years of hands-on experience in infrastructure, DevOps, or software engineering, with a proven track record of independently owning complex systems or initiatives from start to finish.
Expert in writing idiomatic, production-grade Go or Python to build and extend Kubernetes ecosystems, independently designing these systems.
Extensive experience architecting and operating multi-region, high-availability infrastructure across AWS, GCP, and Azure, with ownership of cloud cost, resilience, and scaling strategy.
Proven ability to operate with minimal direction: scoping ambiguous problems, proposing architecture, executing, and being accountable for outcomes.
Proven experience architecting and delivering full-stack internal tools, owning the system from design through production.
Proven experience in Terraform, Pulumi, and Helm, including designing reusable modules and adopting organizational-level IaC standards.
Proven ownership of build/release systems and CI/CD pipelines at scale, including designing pipeline architecture, improving reliability, and reducing release friction.
Hands-on experience designing and building AI-powered automation for DevOps, including LLM-powered runbooks, autonomous remediation agents, anomaly detection pipelines, and AI-assisted code/infra review tools, with a proven track record of team adoption.