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Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru

Level AI· Engineering
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Hybrid (Noida / Bengaluru)Full-timePosted 2mo ago

About the role

Senior leadership role owning backend and ML infrastructure architecture at Level AI, responsible for real-time data processing, ML platform, and scalable GPU infrastructure across multiple sites in Noida/Bengaluru.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Backend and infrastructure architectureLarge-scale databasesHigh-throughput messaging systemsReal-time job queuesMentoring senior engineersTechnical communication

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.
Last updated Aug 19, 2026. Interested? Apply on the company site.
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