"AI Infra Ops and SRE engineer
Need to come to office 3 days a week
Skills :
- Production experience in SRE / Infrastructure / ops for large-scale systems
- Strong programming / scripting skills (Python, Go, Java, or equivalent)
- Deep experience with containerization (Docker), orchestration (Kubernetes, etc.)
- Infrastructure-as-code (Terraform, Helm, CloudFormation, Ansible, etc.)
- Familiarity with GPU / AI compute clusters, high-performance data storage, and distributed architectures
- Experience with monitoring / observability / logging / alerting tools (Prometheus, Grafana, ELK / EFK, Datadog, etc.)
- Networking & systems engineering knowledge (TCP / IP, DNS, routing, load bal-ancing, distributed storage)
- Solid experience in capacity planning, performance tuning, scaling, and incident response
- Demonstrated ability to lead RCAs, deploy fixes, and drive reliability improve-ments
- Experience in regulated environments (financial services, compliance, audit, se-curity) is a strong plus
- Excellent communication, documentation, and cross-team collaboration skills
- Proven track record of reducing operational toil via automation
Experience : 8+ years of experience as a Site Reliability Engineer or in a similar role, with hands-on experience in supporting IaaS platforms with networking and system engineer-ing knowledge.
Roles and Responsibilities :
Operate, monitor, and maintain the infrastructure supporting GenAI applications (training, inference, feature store, data ingestion, model serving)Design and build automation for core platform capabilities, reducing manual toilDevelop and maintain infrastructure-as-code (IaC) for provisioning and managing compute, storage, network, GPU clusters, Kubernetes / container orchestration, etc.Establish, monitor, and enforce SLOs / SLIs / SLAs, error budgets, alerting, and dashboardsLead incident response, root cause analysis (RCA), postmortems, and systemic remediationPerform capacity planning, scaling strategies, workload scheduling, and resource forecastingOptimize cost vs. performance tradeoffs in large-scale compute environmentsHarden systems for security, compliance, auditability, and data governanceCollaborate across teams (cloud engineers, data engineers, infrastructure, secu-rity) to ensure safe deployment, rollout, rollback, and integration of new systemsDefine disaster recovery (DR) strategies, backup / restore practices, fault toler-ance mechanismsMaintain runbooks, operational playbooks, documentation, and training materialsParticipate in on-call rotations and respond to production incidents 24 / 7 as neededContinuously evaluate and integrate new tools, frameworks, or technologies to enhance platform reliability"