SDE IV - Data Engineer

InMobi · Lucknow

  • Senior
  • Full-time
  • Posted 2025-11-04
  • Confirmed live on 25 September 2026

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Job description

InMobi (Corporate)

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Glance

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.

Role Overview:

We are hiring a Tech Lead / SDE IV to anchor and grow our Data Engineering capability within our Demand-Side Platform (DSP). This is a high-impact, technically hands-on leadership role at the intersection of real-time data infrastructure, programmatic advertising, and scalable backend systems. You will own the design and delivery of pipelines that power bidding intelligence, audience targeting, campaign analytics, and attribution — processing billions of bid-stream events daily. Alongside your data engineering mandate, you will architect and contribute to backend microservices that sit at the core of our DSP stack, including integrations with SSPs, ad exchanges, and identity resolution platforms. You will mentor a team of engineers, drive technical direction, and collaborate closely with product, ML, and growth functions to turn data into a true competitive advantage.

Key Responsibilities:

• Data Stack

• Design and own end-to-end data pipelines — batch and real-time — handling bid requests, win/loss events, impression logs, click streams, and conversion signals at scale.

• Build and maintain our data lakehouse architecture (ingestion → storage → serving layer) optimized for low-latency DSP analytics and ML feature generation.

• Define standards for data quality, lineage, observability, and SLA adherence across all data products.

• Own and evolve our StarRocks deployment for real-time analytical queries — schema design, ingestion patterns, and query optimisation for DSP reporting workloads.

• Drive FinOps discipline across the data platform — track compute and storage costs, enforce resource quotas, identify optimisation opportunities, and report on unit economics.

• Establish and lead Data Governance practices: metadata management, data cataloguing, access control policies, PII classification, and data retention standards compliant with GDPR and CCPA.

• Backend Microservices

• Contribute to and review the design of backend services that power DSP functionality — bid shading, pacing, budget management, and reporting APIs.

• Architect data contracts and event schemas between microservices, ensuring consistency across the bid request lifecycle.

• Champion best practices in API design, service reliability (SLOs, circuit breakers, retries), and observability (distributed tracing, structured logging, metrics).

• Collaborate with the bidder team on low-latency data reads (Aerospike, Cassandra, or similar) for real-time targeting signal lookups

• Technical Leadership

• Lead architecture reviews, set engineering standards, and drive adoption of best practices across the data and backend engineering teams.

• Mentor SDE II/III engineers through code reviews, design sessions, and pair programming; grow the next generation of technical leaders.

• Partner with ML engineers on the full model lifecycle — feature engineering pipelines, offline training data generation, experiment tracking, and model serving infrastructure.

• Translate complex business requirements (campaign KPIs, ROAS, viewability, brand safety) into robust technical designs.

• Own the technical roadmap for data infrastructure — capacity planning, migration strategies, and build vs. buy decisions.

Required Skills & Qualifications:

• Experience & Education

• 8+ years of software engineering experience, with at least 4 years focused on data engineering or large-scale data sy

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