Staff DevOps Engineer/SRE

_**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](https://www.linkedin.com/in/btripathi), 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