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ETCIO - Cloud Data Center
DevOps / SRE Engineer
ETCIO - Cloud Data Center
Navi Mumbai•On-site•6-9 Yrs•Jun 24
Job description
Overview
As a DevOps / Site Reliability Engineer (L5) at Proximity Works, you will play a crucial role in ensuring the reliability and scalability of a large-scale, AI-first platform.
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 end-to-end observability, including APM, infrastructure monitoring, logs, alerts, and operational dashboards
- Improve and maintain CI/CD pipelines and Terraform-driven infrastructure automation
- 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
- *What Matters (Non-Negotiable Alignment):**
- Engineers who design, build, and own infrastructure
- Strong Kubernetes experience in high-traffic production environments
- AWS experience is mandatory, with GCP as a strong plus
- 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 end-to-end observability, including APM, infrastructure monitoring, logs, alerts, and operational dashboards
- Improve and maintain CI/CD pipelines and Terraform-driven infrastructure automation
- 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
- *What Matters (Non-Negotiable Alignment):**
- Engineers who design, build, and own infrastructure
- Strong Kubernetes experience in high-traffic production environments
Qualifications
- Strong ownership of CI/CD systems and Infrastructure as Code
- End-to-end observability ownership
- Ability to collaborate deeply with ML and backend teams for system design, production, and scaling
- 6+ years of hands-on experience in DevOps, SRE, or Platform Engineering roles
- Strong experience with cloud platforms, especially AWS and GCP
- Expertise in running Kubernetes at scale in live production environments
- Hands-on experience with New Relic, Terraform, CI/CD systems, cloud networking, and security fundamentals
- Understanding of reliability engineering principles and capacity planning
- Excellent communication skills and ability to operate effectively during incidents
- *Desired Skills:**
- 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