Delhi G.p.o. Delhi Delhi Senior security infrastructure engineer Jobs – 205 Open Jobs Today

Senior Site Reliability Engineer (Noida, BLR, India)
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- AI
- Python
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Senior Software Engineer
LTM —Noida, Uttar Pradesh
- Azure
- DevOps
- Analysis skills
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Senior Solutions Engineer - Azure
i2k2 Networks —Noida, Uttar Pradesh
- Full-time
- Azure
- Windows
- SQL
Senior DevOps Engineer
Belzabar Software —Delhi, Delhi
- Computer Science
- Bachelor's degree
- Scripting
Senior DevOps Engineer
Hupo —Delhi, Delhi
- Remote
- Azure
- DevOps
- AWS
Service Delivery Manager - Operations Management
HCLTech —Noida, Uttar Pradesh
- Azure
- Computer Science
- AWS
13d
Senior Devops Engineer
CardByte —Delhi, Delhi
- Full-time
- Azure
- Computer Science
- DevOps
Senior DevOps Engineer
Aligerous —Noida, Uttar Pradesh
- ₹22,00,000 - ₹25,00,000 a year
- Full-time
- DevOps
- AWS
- Scripting
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Senior DevOps Engineer - Compute Platforms | India
Five9 —Delhi, Delhi
- Computer Science
- DevOps
- Master's degree
Sr Engineer - Cyber Security
Newgen Software —Noida, Uttar Pradesh
- Software troubleshooting
- Windows
- APIs
Senior AI Engineer – (Land Services)
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- Master's degree
Sr. Engineer I - Cybersecurity
Newspace —Noida, Uttar Pradesh
- Windows
- Project management
- APIs
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RAMS Engineer
ALSTOM —Ghaziabad, Uttar Pradesh
- Full-time
- Engineering
- English
- Electrical Engineering
14d
Senior Database Engineer
Clearwater Analytics India Private Limited —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
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Network Engineer
BrightLoans —Okhla, Delhi, Delhi
- ₹8,00,000 - ₹10,00,000 a year
- Full-time
- Azure
- Computer Science
- AWS
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Freelance Senior Network Engineer / IT Consultant (on-demand)
Core IT World (VZ Services LLP) —Delhi, Delhi
- ₹5,00,000 - ₹6,00,000 a year
- Hybrid work
- English
- Project management
- Communication skills
- Work from home
- Flexible schedule
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7d
Domain Consultant - Identity Security
Palo Alto Networks —Delhi, Delhi
- Full-time
- Azure
- English
- Java
Senior Cloud Ops Engineer
Luxoft —Noida, Uttar Pradesh
- Azure
- English
- AWS
Senior DevOps + MLOps Engineer
Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
Senior Backend & Cloud Engineer
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Software troubleshooting
- Master's degree
3d

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Senior Site Reliability Engineer (Noida, BLR, India)

Level AI
Noida, Uttar Pradesh

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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.

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senior security infrastructure engineer jobs in delhi g.p.o. delhi delhi

Senior Site Reliability Engineer (Noida, BLR, India)

Senior Software Engineer

Senior Solutions Engineer - Azure

Senior DevOps Engineer

Senior DevOps Engineer

Service Delivery Manager - Operations Management

Senior Devops Engineer

Senior DevOps Engineer

Senior DevOps Engineer - Compute Platforms | India

Sr Engineer - Cyber Security

Senior AI Engineer – (Land Services)

Sr. Engineer I - Cybersecurity

RAMS Engineer

Senior Database Engineer

Network Engineer

Freelance Senior Network Engineer / IT Consultant (on-demand)

Domain Consultant - Identity Security

Senior Cloud Ops Engineer

Senior DevOps + MLOps Engineer

Senior Backend & Cloud Engineer

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