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 ! 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