SDE 2InMobi Advertising · Lucknow

SDE 2

✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.

🗓️ Posted 2026-09-11 Lucknow Hybrid ICT
💰 Salary Not shared 📊 Market ₹180,000–₹300,000/mo

About the Company

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company's Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

About the Job

Contribute to building a self-serve Data Platform-as-a-Product enabling scalable, reliable, and easy-to-use data infrastructure across batch and streaming workloads.

Role & Responsibilities

  • ● Build and maintain scalable data pipelines using Spark/Flink
  • ● Develop integrations across Airflow, Iceberg, and cloud platforms
  • ● Apply best practices in data modeling, partitioning, and query optimization
  • ● Support Kubernetes-based data platform workloads and troubleshoot issues
  • ● Optimize pipelines for performance, cost, and reliability
  • ● Implement monitoring, logging, and data quality checks
  • ● Participate in on-call and incident resolution

Requirements

Experience

  • ● 3-6 years in data/platform engineering

Skills

  • ● Strong fundamentals: SQL, data modeling, partitioning, optimization
  • ● Hands-on with Spark