Up Senior backend engineer Jobs – 148 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
PrismHR —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Master's degree
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Senior Software Engineer
Moody's —Noida, Uttar Pradesh
- Computer Science
- System design
- Java
Senior .Net Full Stack engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Software troubleshooting
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11d
Senior QA Engineer
VML —Noida, Uttar Pradesh
- Hybrid work
- Salesforce
- JavaScript
- APIs
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Senior Quality Assurance Engineer
Magic EdTech —Noida, Uttar Pradesh
- Full-time
- SQL
- Product management
- APIs
Senior Engineer, Software Development
Landis+Gyr —Noida, Uttar Pradesh
- Azure
- Master's degree
- AWS
Senior Software Engineer
Barco —Noida, Uttar Pradesh
- Computer Science
- DevOps
- Master's degree
2d
Senior Software Engineer - UI
Ontic Technologies —Noida, Uttar Pradesh
- Full-time
- Remote
- JavaScript
- APIs
- Communication skills
- Health insurance
Senior Engineer, DevOps - India
DISCO —Noida, Uttar Pradesh
- Azure
- Salesforce
- Java
- Health insurance
Senior Data Engineer
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Databases
10d
Senior SDET (Software Development Engineer in Test)
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
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11d
Senior Full Stack Developer
Jupsoft Technologies Pvt.Ltd. —Noida, Uttar Pradesh
- ₹30,000 - ₹40,000 a month
- Full-time
- Software troubleshooting
- Databases
- JavaScript
- Health insurance
- Paid sick time
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6d
Senior Frontend Engineer
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Master's degree
- Bachelor's degree
- JavaScript
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Senior Quality Assurance Engineer
Product and Technology —Noida, Uttar Pradesh
- Full-time
- JavaScript
- APIs
- Agile
- Health insurance
Job title: QA Developer / Sr Developer / Lead
CG Infinity —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Salesforce
- Java
Senior Software Engineer - Seller Central
Valence Intelligence —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- System design
- JavaScript
- APIs
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Senior Software Engineer - Frontend
Paytm —Noida, Uttar Pradesh
- JavaScript
- APIs
- Agile
Software Engineer - Backend
CLOUDSUFI —Gautam Budh Nagar, Uttar Pradesh
- Azure
- Databases
- SQL
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3d
Senior/ Staff Software Engineer - Full Stack
TeamViewer Germany GmbH —Noida, Uttar Pradesh
- Hybrid work
- Azure
- English
- Java
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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 backend engineer jobs in up

Senior Site Reliability Engineer (Noida, BLR, India)

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Job title: QA Developer / Sr Developer / Lead

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Senior/ Staff Software Engineer - Full Stack

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