Staff DevOps Engineer/SRE

Role Overview FlexAI is looking for a Staff DevOps / SRE Engineer to define our infrastructure strategy, establish SRE best practices, and build systems capable of running large-scale AI workloads across distributed, multi-cloud environments. You’ll work closely with developers to ensure our platform is reliable, performant, and scalable — without slowing down product velocity. What You’ll Do Own Reliability & Architecture: Design and evolve the infrastructure backbone for our AI and PaaS platform Build highly available, fault-tolerant, and scalable systems Define and drive SRE practices (SLIs, SLOs, error budgets) Build Infrastructure at Scale: Lead Infrastructure as Code using Pulumi Own and scale Kubernetes clusters and containerized workloads Standardize and automate infrastructure for global deployments CI/CD & Automation: Design and scale CI/CD pipelines for fast, reliable releases Build self-healing systems and automated remediation workflows Drive GitOps and platform engineering practices Observability & Performance: Implement end-to-end observability using VictoriaMetrics and Grafana (metrics, logs, traces) Identify and resolve performance bottlenecks (latency, throughput, cost) Lead incident response, root cause analysis, and postmortems Leadership & Collaboration: Partner with backend, AI, runtime, and security teams Guide infrastructure decisions and scaling strategy Mentor engineers and raise the bar on reliability and engineering standards Security & Resilience: Embed security into infrastructure and deployment workflows Design for resilience (disaster recovery, chaos testing, capacity planning) What You'll Need to Be Successful 8+ years of experience in DevOps, SRE, or Infrastructure Engineering Proven experience operating large-scale, distributed systems in production Deep expertise in: Kubernetes & container orchestration Pulumi (or similar IaC tools) Cloud or hybrid environments (AWS, GCP, Azure, or on-prem) Observability stacks (Prometheus, Grafana, OpenTelemetry) Strong experience with CI/CD, automation, and release engineering Proficiency in Python, Go, or Bash Strong systems thinking and debugging skills in high-scale environments Experience defining and operating with SLOs / SLAs Experience in startup environments Comfortable leveraging AI coding tools and agents to move faster Nice to Have Experience with AI/ML infrastructure or GPU workloads Familiarity with distributed or high-performance compute systems Exposure to platform engineering / internal developer platforms Experience scaling systems from Beta to production Why FlexAI Work on cutting-edge AI infrastructure Build systems that power developers and enterprises High ownership, fast execution, real impact Collaborative, high-caliber team About FlexAI Build and Deploy AI the right way, anywhere. The FlexAI Compute Infrastructure Platform provides an "end-to-end AI compute layer" for running and managing workloads across any cloud, any GPU, and any deployment model (public, hybrid, or on-prem). It brings together "1-click simplicity" for users with "enterprise-grade orchestration, security, and automation" under the hood. Founded by Brijesh Tripathi , who bring experience from Nvidia, Apple, Tesla, Intel and Zoox, FlexAI is not just building a product – we’re shaping the future of AI. Our teams are strategically distributed across Silicon Valley and Bengaluru, united by a shared mission: to deliver more compute with less complexity. If you're passionate about shaping the future of artificial intelligence, driving innovation, and contributing to a sustainable and inclusive AI ecosystem, FlexAI is the place for you !