Senior Product Engineer - P3

InMobi • Python • 2 months ago
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Salary
≈ $34k – $71k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
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InMobi

InMobi is a global adtech and consumer technology multinational headquartered in Bengaluru, India, with a major corporate presence in Singapore, San Francisco, and London. Founded in 2007 (originally as mKhoj), it made history in 2011 by becoming India's first unicorn startup.
inmobi.com • HQ: Bengaluru, India • Sales & Marketing • Advertising • Est. 2007

We are looking for a Senior Product Software Engineer to build and scale AI-powered backend platforms that power high-volume, customer-facing products. You will design resilient distributed systems, develop production-grade AI services, and collaborate with cross-functional teams to deliver scalable, secure, and reliable solutions. This role is ideal for engineers passionate about backend architecture, cloud-native technologies, and building AI/LLM-powered applications at scale.

Responsibilities:

  • Design, build, and maintain scalable backend services using Python.
  • Develop AI-powered applications and integrate Large Language Models (LLMs) into production systems.
  • Build and enhance distributed microservices with a strong focus on reliability, scalability, and performance.
  • Design resilient architectures with fault tolerance, retry mechanisms, circuit breakers, and graceful degradation.
  • Develop cloud-native solutions on AWS, Azure, or GCP.
  • Optimise latency, concurrency, and throughput for high-volume services.
  • Collaborate with Product, AI, Platform, and Infrastructure teams to deliver robust solutions.
  • Improve observability through monitoring, logging, tracing, and performance optimisation.
  • Mentor engineers and contribute to architecture and technical design discussions.

Requirements:

  • 5+ years of experience in backend software engineering.
  • Strong programming experience in Python.
  • Hands-on experience building AI/LLM-powered applications or AI-enabled backend systems.
  • Strong knowledge of microservices and distributed systems architecture.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Solid understanding of REST APIs, scalable system design, concurrency, caching, and asynchronous programming.
  • Experience with containerisation and orchestration tools such as Docker and Kubernetes is a plus.
  • Familiarity with observability tools, monitoring, and production troubleshooting.
  • Strong problem-solving skills with the ability to work in a fast-paced product engineering environment.

Preferred Skills:

  • Experience with OpenAI, Azure OpenAI, Amazon Bedrock, or similar AI platforms.
  • Exposure to reliability engineering, service-level objectives (SLOs), and high-availability architectures.
  • Experience building high-throughput, low-latency distributed systems.
  • Knowledge of CI/CD, Infrastructure as Code, and modern DevOps practices.
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