Senior 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 **Senior DevOps / SRE Engineer** to build and operate the infrastructure powering our AI and PaaS platform.

You’ll work closely with developers to ensure our systems are **reliable, performant, and scalable** , while enabling fast product iteration. This role is hands-on and execution-focused, with opportunities to contribute to system design and reliability practices as we scale.

_**What You’ll Do**_

**Build & Operate Infrastructure:**

• Build and maintain infrastructure for our AI and PaaS platform
• Deploy and operate **Kubernetes clusters** and containerized services
• Implement Infrastructure as Code using **Pulumi (or similar tools)**

**Reliability & SRE Practices:**

• Help define and implement **SLIs, SLOs, and error budgets**
• Improve system reliability, availability, and performance
• Participate in **on-call rotations** , incident response, and postmortems

**CI/CD & Automation:**

• Build and improve **CI/CD pipelines** for reliable and fast releases
• Automate operational workflows and reduce manual toil
• Contribute to **GitOps and platform engineering practices**

**Observability & Performance:**

• Implement and maintain observability using **VictoriaMetrics, Grafana** (metrics, logs, traces)
• Monitor systems and troubleshoot performance issues (latency, throughput, cost)

**Collaboration:**

• Work closely with developers, platform, and AI teams to support production systems
• Help debug issues across infrastructure and application layers
• Contribute to improving engineering productivity and developer experience

_**What You’ll Need to Be Successful**_

• 4+ years of experience in **DevOps, SRE, or Infrastructure Engineering**
• Experience operating **production systems at scale**
• Hands-on experience with:
• *Kubernetes & containers**
• **Infrastructure as Code (Pulumi, Terraform, etc.)**
• **Cloud or hybrid environments (AWS, GCP, Azure, or on-prem)**
• **Observability tools** (Prometheus, Grafana, OpenTelemetry)
• Experience with **CI/CD systems and automation**
• Proficiency in **Python, Go, or Bash**
• Strong debugging and problem-solving skills
• Familiarity with **SLOs and reliability practices**
• Experience working in **startup or fast-paced environments**
• Comfortable leveraging **AI coding tools and agents**

_**Nice to Have**_

• Experience with **AI/ML infrastructure or GPU workloads**
• Familiarity with **distributed systems or compute platforms**
• Exposure to **platform engineering concepts**
• Experience supporting 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