Ghaziabad Uttar Pradesh Senior site reliability engineer i Jobs – 41 Open Jobs Today

Senior Site Reliability Engineer (Noida, BLR, India)
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- AI
- Python
Quick apply
Site Reliability, Staff
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WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
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12d
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WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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Senior DevOps Engineer
Aligerous —Noida, Uttar Pradesh
- ₹22,00,000 - ₹25,00,000 a year
- Full-time
- DevOps
- AWS
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Emerson —Noida, Uttar Pradesh
- Full-time
- Schematics
- Programmable logic controllers
- Bachelor's degree
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Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
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Emerson —Noida, Uttar Pradesh
- Full-time
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Computacenter —Noida, Uttar Pradesh
- Azure
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10d
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SimCorp A/S —Noida, Uttar Pradesh
- Online application
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11d
Sr. Mechanical Engineer
Rollz India Waste Management Pvt Ltd —Ghaziabad, Uttar Pradesh
- From ₹25,000 a month
- Full-time
- Schematics
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- Plumbing
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1d
Senior Engineer-DCS-Solar-BESS-Microgrid
Emerson —Noida, Uttar Pradesh
- Full-time
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KRS —Ghaziabad, Uttar Pradesh
- Up to ₹50,000 a month
- Full-time
- AutoCAD
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Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
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DevOps Platform Engineer
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- DevOps
- Windows
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Sr. Service Engineer
DGM AUTOMATION INDIA PRIVATE LIMITED —Noida, Uttar Pradesh
- ₹25,000 - ₹45,000 a month
- Full-time
- Schematics
- Sales
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- Health insurance
- Cell phone reimbursement
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Senior Cloud Manager
DMI Housing Finance —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
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3d
Senior Cloud Manager
DMI Finance —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
- DevOps
- Windows
3d

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Senior Site Reliability Engineer (Noida, BLR, India)

Level AI
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Qualifications

CI/CD
Rust (programming language)
Go
Node.js
Kubernetes
Terraform
Continuous integration
AI
Python

Full job description

About Level AI

Level AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey.

Headquartered in Mountain View, California, Level AI is a Series C company backed by leading investors including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights.

About the role

The Senior SRE will be positioned at the intersection of backend engineering, infrastructure operations, and FinOps. The role is explicitly broader than a traditional DevOps engineer and explicitly more hands-on than a pure architect.

What you'll be liable for:

Infrastructure cost efficiency and FinOps. Own the continued reduction of Kubernetes overprovisioning, drive right-sizing programs, and maintain the cost telemetry that backend teams use to make decisions.

GPU throughput optimization. Run a structured experimentation program on on-premise GPU clusters, partnering with AI service owners. Lead by the Engineering leadership, with this role providing the experimental bandwidth.

Backend enablement, not ownership absorption. Build the tooling, dashboards, and processes that let backend teams from other groups own their own cost and reliability budgets. The deliverable is leverage, not headcount-shaped work.

Reliability instrumentation. As the infra team owns most of the instrumentation across new and offline flows, this role takes a central seat in making sure that surface area is captured properly for both cost-at-scale and reliability.

Selective security workstreams. Take on a defined slice of the active security work so that senior DevOps engineers are not the single point of execution for security-adjacent platform changes.

We'll love to explore more about you if you have:

This role explicitly requires 4-5 years of hands-on systems experience. We are not looking for someone who will lean entirely on AI tooling to discover what to do; we are looking for someone who already knows what to ask, and can use AI tooling as a force multiplier on top of that judgement.

Backend engineering depth: production experience in Python, Go/Rust, comfortable owning services end to end, able to read and reason about backend code across teams.

Kubernetes at scale: scheduler behavior, resource requests/limits, HPA/VPA, node pool design, cost-aware autoscaling (Cast AI, Karpenter, or equivalent).

Cloud and on-premise infrastructure: GCP fluency, IaC (Terraform), CI/CD, and comfort operating in hy brid setups including on-prem GPU clusters.

GPU workload understanding: familiarity with throughput profiling, batching, KV-cache behavior, inference server tuning, and GPU utilization metrics.

Observability and reliability: metrics, traces, logs, SLOs, and the discipline to instrument systems properly rather than reactively.

FinOps mindset: demonstrated history of converting infrastructure choices into measurable cost outcomes.

Security baseline: able to take on platform-security workstreams without requiring constant handoff to the DevOps team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

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senior site reliability engineer i jobs in ghaziabad uttar pradesh

Senior Site Reliability Engineer (Noida, BLR, India)

Site Reliability, Staff

Senior Suppliers Development Engineer

Senior Cloud Engineer

Senior Azure DevOps Engineer

Senior / Principal DevOps / Platform Engineer

Senior DevOps Engineer

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Sr. Mechanical Engineer

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Sr Engineering Manager - SRE

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Sr. Service Engineer

Senior Cloud Manager

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