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DevOps Engineer - Platform @ Uplers

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 DevOps Engineer - Platform

Job Description

DevOps Engineer - Platform

Experience: 5 - 6 Years Exp.

Salary : Competitive

Preferred Notice Period: Within 30 Days

Shift: 2:00 PM to 11:00 PM IST

Opportunity Type: Remote

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

caching strategies, experience building, maintaining distributed systems, Fluent in containerization, Orchestration, Performance Optimization

Incept Labs (One of Uplers' Clients) is Looking for:

DevOps Engineer - Platform who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

DevOps Engineer - Platform

We''re looking for an Engineer experienced in DevOps, preferably with experience filling in as an infrastructure/backend engineering generalist. We view infrastructure as a critical component, as it enables every breakthrough. You''ll work directly with researchers to accelerate experiments, optimize efficiency, and enable key insights across our models and data assets. You''ll join a high-impact, compact team responsible for both architecture and scaling of Incept''s core infrastructure. Work will span the full technical stack and involve solving complex distributed systems problems as well as building resilient, scalable platforms.

Responsibilities

  • Design, build, and operate scalable, fault-tolerant infrastructure to support distributed computing and data orchestration for LLM Research.
  • Develop and maintain high-throughput systems for data ingestion, processing, and transformation to support LLM model development.
  • Collaborate with research teams to improve system efficiency and accelerate model training and evaluation cycles.
  • Implement and maintain monitoring and alerting to support platform reliability and performance.
  • Build systems for traceability, reproducibility, and robust quality control to ensure adherence to industry compliance standards.

Requirements

  • 5+ years of experience building and maintaining distributed systems, ideally supporting high-scale applications or research platforms.
  • Fluent in containerization, orchestration, and distributed computing frameworks.
  • Extensive experience with performance optimization, caching strategies, and system scalability patterns.
  • Knowledge of and experience with specialized hardware (GPUs, TPUs) computing and GPU cluster management.
  • Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
  • Deeply familiar with cloud infrastructure, microservices architectures, and both synchronous and asynchronous processing.
  • Proactive about automation, testing, and building tools that empower engineering teams.

How to apply for this opportunity:

Easy 3-Step Process:
1. Click On Apply! And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

Incept Labs is a new, agile, and well-funded machine learning lab created to bridge the gap between fundamental research and high-impact, real-world applications. Our focus is to build highly customized, domain-specific AI models to solve complex challenges in education and science. As a nascent lab, much of our specific work and internal structure is not yet public.

Our Vision & Research Focus

Incept Labs was founded by Ritankar Das and Qingqing Mao, serial entrepreneurs with a proven track record of building and scaling successful companies with notable exits in sectors including healthcare AI and Enterprise SaaS. Our long-term research and development is backed by a major investment from technologist Joseph Liemandt (founder of Trilogy Software) and Alpha School, a leader in educational innovation.

Our partnership with the Alphas School also provides us with an immediate, real-world testbed for our innovations and a powerful distribution channel to deploy solutions at scale, ensuring our research has a tangible impact.

We believe the future of AI lies not in monolithic, general-purpose models, but in deeply customized and fine-tuned LLMs that are specific to a given domain, culture, and task. Our primary research areas include:

  • Domain-Specific LLMs for Education: Creating next-generation educational tools with a global perspective, targeting opportunities in the U.S. and international markets like the UAE.
  • AI for Fundamental Science: Applying our customization techniques to develop models that can accelerate research and discovery in foundational scientific disciplines.
  • Personalized AI Agents: Building truly personalized LLMs that can adapt and cater to individual user needs and contexts.

About Uplers:

Uplers is the #1 hiring platform for SaaS companies, designed to help you hire top product and engineering talent quickly and efficiently. Our end-to-end AI-powered platform combines artificial intelligence with human expertise to connect you with the best engineering talent from India.

With over 1M deeply vetted professionals, Uplers streamlines the hiring process, reducing lengthy screening times and ensuring you find the perfect fit. Companies like GitLab, Twilio, TripAdvisor, and AirBnB trust Uplers to scale their tech and digital teams effectively and cost-efficiently.

Experience a simpler, faster, and more reliable hiring process with Uplers today.Role & responsibilities

Preferred candidate profile

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Engineer
Employement Type: Full time

Contact Details:

Company: Uplers
Location(s): United States (U.S)

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Keyskills:   experience building caching strategies maintaining distributed systems Fluent in containerization Orchestration Performance Optimization Optimization Cache

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