Mohan Nagar Ghaziabad Uttar Pradesh It recruiter work from Jobs – 133 Open Jobs Today

Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru
Level AI —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
Quick apply
Senior Staff Engineer - SRAM
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Electrical experience
- Bachelor's degree
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Senior CFD Engineer
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- Doctoral degree
- CAD
- Java
- Health insurance
Principal Consultant - Data Centres & Digital Infrastructure Advisory
WSP —Noida, Uttar Pradesh
- Hybrid work
- Agile
- Communication skills
Senior Engineer - Geotechnical
WSP —Noida, Uttar Pradesh
- Hybrid work
- Civil engineering
- Master's degree
- Project management
R&D Engineering, Sr Staff Engineer
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Electrical experience
- Bachelor's degree
- Health insurance
10d
Associate - Electrical
WSP —Noida, Uttar Pradesh
- Hybrid work
- Microsoft Word
- Microsoft Excel
- Microsoft Outlook
Principal Bridges Engineer
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- Microsoft Office
- Master's degree
- Bachelor's degree
- Health insurance
Senior Architect
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- AutoCAD
- English
- Master's degree
- Health insurance
Senior Associate - TA
Alight —Noida, Uttar Pradesh
- English
- Master's degree
- Analysis skills
- Health insurance
- Paid sick time
Principal Engineer - ICT
WSP —Noida, Uttar Pradesh
- Hybrid work
- Computer networking
- Agile
- Communication skills
Layout Design, Staff Engineer
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Bachelor's degree
- Scripting
- Health insurance
Structural BIM Engineer/ Modeller(OBD)
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- Civil engineering
- Agile
- Communication skills
- Health insurance
8d
Team Lead Recruitment
SynapseIndia —Noida, Uttar Pradesh
- Day shift
- Mentoring
- Recruiting
- Software development
- Health insurance
Analog Design, Sr Engineer
Synopsys —Noida, Uttar Pradesh
- Master's degree
- Bachelor's degree
- Electrical Engineering
- Health insurance
8d
ASIC Digital Design, Sr Staff Engineer
Synopsys —Noida, Uttar Pradesh
- Electrical experience
- Mentoring
- In-person
Senior Engineer - Vertical Transport System
WSP —Noida, Uttar Pradesh
- Hybrid work
- English
- Microsoft Office
- Analysis skills
Architect
IPS-Integrated Project Services —Naraina, Delhi, Delhi
- Full-time
- AutoCAD
- English
- Microsoft Office
Sales Executive
Moneytree Realty Services —Noida, Uttar Pradesh
- ₹2,50,000 - ₹5,00,000 a year
- Presentation skills
- Communication skills
Architect
Mott MacDonald —Noida, Uttar Pradesh
- Full-time
- AutoCAD
- English
- Master's degree
- Health insurance

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Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru

Level AI
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Benefits

Health insurance

Qualifications

Doctoral degree
Computer Science
Google Cloud Platform
Master's degree
Databases
PostgreSQL
Redis
Mentoring
Natural language processing
Django
Communication skills

Full job description

About Level AI

Level AI is a Series C conversational intelligence company headquartered in Mountain View, CA, backed by top-tier VCs and Silicon Valley operators. We help enterprise contact centers understand every customer conversation — using speech AI, NLP/NLU, and retrieval systems to turn millions of unstructured interactions into decisions businesses can act on.

Why this role exists

We're at the scaling inflection point. The systems that carried us from Series A to Series C won't carry us to the next stage, and we need someone to own that transition — not just build inside it.

This is a Principal role: you'll set technical direction for backend and ML infrastructure across multiple teams, make the architectural calls that are expensive to reverse, and raise the engineering bar through design reviews, mentorship, and the standards you set by example. You'll report to the VP of Engineering and partner directly with our ML, Product, and Infrastructure leads across both sites.

You'll work alongside engineers from Amazon, Google, and Meta who chose to build here because the problems are unsolved and the ownership is real.

What you'll do

Own the architecture for real-time data processing at scale. Design and evolve distributed messaging systems that handle high-throughput streaming workloads with strict latency requirements.
Build the ML platform that lets us ship models faster. Define and execute the technical roadmap for training and serving infrastructure as our models grow in size, complexity, and inference cost.
Scale our GPU infrastructure. Own capacity planning, scheduling, and utilization across training and inference fleets — deciding what runs where, how we handle burst demand, and how we keep spend tied to actual throughput rather than idle reservations.
Scale inference. Drive down latency and cost per request as model complexity and traffic grow: batching and routing strategies, quantization and compilation, autoscaling, and caching — without degrading output quality.
Make reliability a property of the system, not a heroic effort. Drive uptime, observability, and incident response for serving systems that enterprise customers depend on in production.
Turn ambiguous business problems into executable technical plans. Partner with Product and GTM to scope large cross-functional initiatives, then break them into work other teams can run with.
Multiply the team. Lead design reviews, mentor senior engineers, and shape the engineering practices that outlast any single project.
Bring the outside in. Evaluate emerging tools and techniques with judgment — adopt what earns its complexity, skip what doesn't.

What success looks like in your first year

90 days: You've mapped our critical paths and failure modes, shipped a meaningful improvement to a serving or pipeline bottleneck, and earned trust across both sites.
6 months: You own a published technical roadmap for [messaging / ML infra], with at least one major migration or redesign underway. GPU utilization and inference cost per request are measured, and trending the right way.
12 months: Our infrastructure scales predictably with customer growth, inference cost stays flat or falls as volume rises, on-call load is down, and other engineers are making better architectural decisions because of standards you established.

What you'll bring

[10]+ years building backend and infrastructure systems, with a track record of owning architecture and design at scale — not just implementing it.
Deep, hands-on experience with large-scale databases, high-throughput messaging systems, and real-time job queues.
Proven ability to navigate large, complex codebases and reason clearly about architectural tradeoffs in systems you didn't build.
Experience mentoring senior engineers and driving technical decisions through influence rather than authority.
Strong written communication — you'll be making technical cases to engineers in two time zones and business cases to executives.
BTech/MTech/PhD in Computer Science or equivalent. At this level we weight track record well above pedigree.

Bonus points for

Production experience with our stack: Django, Celery, Redis, PostgreSQL, and Google Cloud.
Hands-on experience scaling GPU infrastructure and model inference in production — capacity planning, scheduling and utilization, autoscaling, and latency/cost optimization under real traffic.
Depth in specific inference tooling — vLLM, TensorRT, Triton, Ray Serve, or equivalents — and experience benchmarking tradeoffs between them.
Experience scaling a platform through a comparable growth stage (Series C D, or equivalent), especially at a global product company's India site.
Background in speech, NLP, or information retrieval systems.

Compensation & benefits

Health coverage for you, your spouse, children, and parents.
[home-office and connectivity allowance / annual learning budget / parental leave — trim to what's accurate].
Real ownership over systems used by enterprises worldwide, with the autonomy to decide how they're built.

How we hire

[4] stages, typically [2] weeks end to end: recruiter screen technical deep dive system design team and leadership conversations offer. Interviews are conducted from our India team with [one/two] conversations with US-based leadership. We'll tell you where you stand at every step.

Level AI is an equal opportunity employer. We hire and promote on merit and evaluate all applicants without regard to caste, religion, sex, gender identity, sexual orientation, marital or parental status, disability, or any other personal characteristic unrelated to the job. We maintain a zero-tolerance policy on harassment in line with the POSH Act, 2013. If you need any accommodation during the interview process, tell us — we'll arrange it.

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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it recruiter work from jobs in mohan nagar ghaziabad uttar pradesh

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