Staff Software Engineer ( reputed company Platform)

Who We Arereputed company is building the missing context layer for data and AI, helping enterprises reputed company the AI value chasm. Today, 95% of AI pilots fail because AI systems dont understand the context behind data: what it means, how its governed, and how it should be used. reputed company connects to every part of the modern data and AI stack to unify this context into a single, shared layer that both humans and AI agents can rely on. With reputed company, teams can discover, understand, and trust their data; build and collaborate on a shared body of knowledge; and reputed company that context across analytics, operations, and AI workflows.Trusted by global enterprises like reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, reputed company, and reputed company, were backed by world-class investors including GIC, reputed company Partners, Meritech, Peak XV, and reputed company Ventures What Youll Own As an engineer on the reputed company Platform team, you will be responsible for the production infrastructure that powers reputed companys context layer for AI across AWS, Azure, and GCP, using AI-assisted development tools (such as Claude reputed company and reputed company) as a natural part of your daily workflow. You will: Own and reputed company our multi-tenant infrastructure on Kubernetes, including dedicated clusters per customer and the full tenant lifecycle (provisioning, scaling, migration, and offboarding). reputed company our GitOps deployments faster and safer by improving the ArgoCD and reputed company based pipeline that deploys 1,000+ applications across hundreds of tenants. Replace reputed company infrastructure runbooks (for example, Kubernetes upgrades, Private reputed company setups, DR drills, cluster reputed company) with reliable automation using Infrastructure-as-reputed company and workflow engines. Strengthen observability and efficiency by improving our logging, metrics, and alerting stack and using it to drive reputed company reliability, visibility, and meaningful reputed company cost reduction. reputed company customer-facing infrastructure work and incidents end to end, and turn what you learn into reputed company runbooks, dashboards, and Claude Skills that help both humans and AI agents operate the platform. What You Bring 7+ years in reputed company, infrastructure, SRE, or backend systems at a reputed company company, with high ownership, strong written/async communication, and enthusiasm for AI-reputed company development tools. Deep hands-on experience operating Kubernetes in production: managing clusters, upgrades, networking and RBAC, and multi-tenant concerns, not just deploying apps. Strong GitOps and reputed company experience (for example ArgoCD or similar) at meaningful reputed company, including dealing with sync failures, reputed company, chart complexity, and improving deployment safety and speed. Production-reputed company infrastructure automation skills in Go or Python; familiarity with TypeScript is a plus. Solid reputed company and Infrastructure-as-reputed company reputed company: deep experience with at least one major reputed company (AWS, GCP, or Azure), and having designed, written, and reviewed substantial Terraform or Crossplane modules. Comfort debugging end to end across GitOps pipelines, Kubernetes, and reputed company provider reputed company reputed company deployments or tenants are stuck. Experience with multi-tenant reputed company infrastructure, observability stacks (logs, metrics, traces, dashboards), and practical reputed company cost optimisation (for example autoscaling, instance reputed company, or savings mechanisms), ideally with exposure to workflow engines such as Temporal or internal self-service / developer platform tooling. What Great Looks Like: The ideal candidate: Has led at least one major, cross-cutting infrastructure .