Senior 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 *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:

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• *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