Senior Software Engineer, Core Platform

Lightning AI
New York, NY, United States
30 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$180,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services User Authentication Automation of Tests Microsoft Azure Software Quality Continuous Delivery Programming Tools Distributed Systems Python (Programming Language) Rust (Programming Language)
+6 more
ReactJS Backend Kubernetes Api Design Serverless Computing Docker

Job description

  • Develop APIs and platform services supporting authentication, resource management, multi-tenancy, and developer workflows.
  • Improve reliability, observability, scalability, and performance across core platform infrastructure.
  • Partner closely with product, infrastructure, and AI engineering teams to deliver new platform capabilities.
  • Evaluate and improve technical architecture, engineering processes, and operational tooling.
  • Mentor engineers and help establish engineering best practices across the organization.

Requirements

The Core Platform team builds the foundational services that power every experience across Lightning AI. From authentication and APIs to multi-tenancy, resource management, and developer tooling, this team creates the platform capabilities that every customer and engineering team depends on.

We’re looking for a Senior Software Engineer to help design, build, and scale these core systems. You’ll work on backend services that support researchers, startups, and enterprise AI teams as they build, train, and deploy AI applications on Lightning AI. You’ll collaborate closely with product, infrastructure, and AI engineering teams to improve reliability, scalability, and developer experience across the platform.

This role is based in one of our San Francisco, NYC, or London office hubs, with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time., * Extensive experience building scalable backend systems using Go, Python, Rust, React or similar languages.

  • Strong experience designing and operating distributed systems or cloud-native services.
  • Experience building APIs, platform services, and infrastructure that other engineers depend on.
  • Familiarity with Kubernetes, Docker, and modern cloud platforms such as AWS, GCP, or Azure.
  • Strong understanding of software quality, automated testing, observability, and continuous delivery.
  • Proven ability to lead technical initiatives from architecture through production.
  • Excellent communication skills and the ability to collaborate effectively across engineering, product, and design.
  • Ability to thrive in a fast-moving, ambiguous startup environment.

Benefits & conditions

$180,000 - $250,000 a year Paid parental leave, Parental leave, Health insurance, 401(k) matching, Vision insurance, Dental insurance, Family leave, Sabbatical Hybrid work in New York, NY, We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company’s long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life’s important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

About the company

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here’s what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We’re always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what’s next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

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Good distractions

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