Staff DevOps Engineer/SRE

Job description

*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:

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• *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