We are looking for a DevOps / Site Reliability Engineer (L5) to own and scale the production reliability of a large-scale, AI-first platform. You will be responsible for running mission-critical workloads on cloud infrastructure, hardening Kubernetes-based systems, and ensuring high availability, performance, and cost efficiency across platform and AI services.
This role is deeply hands-on and ownership-driven. You will be trusted to run day-2 production systems end-to-end, lead incident response, and continuously raise the reliability bar for AI and data-intensive workloads.
At Proximity, you won’t just keep systems running — you’ll shape how reliability, observability, and operational excellence are built into the platform from the ground up.
Responsibilities- Own day-2 production operations of a large-scale, AI-first platform running on cloud infrastructure
- Run, scale, and harden Kubernetes-based workloads integrated with a broad set of managed cloud services across data, messaging, AI, networking, and security
- Define, implement, and operate SLIs, SLOs, and error budgets across core platform and AI services
- Build and own observability end-to-end, including:
- APM
- Infrastructure monitoring
- Logs, alerts, and operational dashboards
- Improve and maintain CI/CD pipelines and Terraform-driven infrastructure automation
- Operate and integrate AI platform services for LLM deployments and model lifecycle management
- Lead incident response, conduct blameless postmortems, and drive systemic reliability improvements
- Optimize cost, performance, and autoscaling for AI, ML, and data-intensive workloads
- Partner closely with backend, data, and ML engineers to ensure production readiness and operational best practices
Infra owners, not operators.
This role is for engineers who design, build, and own infrastructure, not those limited to ticket-based operations.
- Built and operated production-grade cloud infrastructure end-to-end
- Strong Kubernetes experience in real, high-traffic production environments
- AWS experience is mandatory, with GCP as a strong plus
- Experience operating AI / ML workloads in production
- Including GPU-based systems
- Strong ownership of CI/CD systems and Infrastructure as Code
- End-to-end observability ownership
- Monitoring, logging, alerting, dashboards
- Comfortable making infrastructure decisions under ambiguity
- Proven ability to collaborate deeply with ML and backend teams to take systems from design → production → scale
Requirements
- 6+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles.
- Strong, production-grade experience with cloud platforms
- AWS required
- GCP strongly preferred, especially Kubernetes and managed services
- Proven expertise running Kubernetes at scale in live production environments.
- Deep hands-on experience with New Relic in complex, distributed systems.
- Experience operating AI/ML or LLM-driven platforms in production environments.
- Solid background in Terraform, CI/CD systems, cloud networking, and security fundamentals.
- Strong understanding of reliability engineering principles, including capacity planning, failure modes, and resilience patterns.
- Comfortable owning production systems end-to-end with minimal supervision.
- Strong communication skills and the ability to operate calmly and effectively during incidents.
- Experience building internal platform tooling for developer productivity.
- Experience managing multi-cloud environments or cross-cloud integrations.
- Familiarity with cost optimization strategies for large-scale Kubernetes and AI workloads.
- Exposure to service meshes, advanced traffic management, or zero-trust security models.
Benefits
- Best in class compensation: We hire only the best, and we pay accordingly.
- Proximity Talks: Learn from senior engineers, platform leaders, and industry experts.
- Work on real-world AI systems: Operate and scale production AI platforms used at meaningful scale.
- Continuous learning: Grow alongside a high-caliber team that values operational excellence and engineering rigor.
We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge technology at scale.
Our team of Proxonauts is growing quickly, which means your impact on the company’s success will be significant. You’ll work with experienced leaders who have built and led high-performing tech and platform teams.
Here’s a quick guide to getting to know us better:
- Watch our CEO, Hardik Jagda, tell you all about Proximity.
- Read about Proximity’s values and meet some of our Proxonauts.
- Explore our website, blog, and design wing — Studio Proximity.
Get behind the scenes with us on Instagram — follow @ProxWrks and @H.Jagda.
