SDE IV - Engineering.

InMobi Advertising; Lucknow; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

InMobi Advertising seeks a Tech Lead / SDE IV to anchor and grow our Data Engineering capability within the Demand-Side Platform (DSP). This role focuses on real-time data infrastructure, programmatic advertising, and scalable backend systems.

You will own bid-stream processing, audience targeting, campaign analytics, and attribution at scale, mentoring engineers and guiding the technical roadmap with ML and growth teams.

Qualifications

• 8+ years of software engineering experience, including 4+ years in data engineering or large-scale data systems.
• Deep expertise in distributed stream processing (Kafka, Flink, or Spark) and strong SQL at petabyte scale.
• Hands-on experience with real-time analytical databases (StarRocks, Snowflake, or ClickHouse).
• Proficiency in Python (primary) and/or Java/Scala, REST/gRPC microservices, Kubernetes, and CI/CD pipelines.

Responsibilities

• Own end-to-end data pipelines for bid requests, win/loss events, impressions and clicks.
• Build and maintain the data lakehouse for low-latency DSP analytics.
• Own real-time queries and data governance considerations (PII, GDPR/CCPA).
• Architect DSP backend microservices and data contracts between them.
• Set API design standards and ensure observability and reliability.

Skills

Distributed data engineering

Python/Java/Scala

SQL at scale

Kafka/Flink/Spark

Kubernetes/CI/CD

Tools

StarRocks

Snowflake

ClickHouse

Airflow

Dagster

Iceberg

Delta Lake

Hudi

Kubernetes

Job description

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. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.

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.

Our Story

Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight, we charted our course, helping to transform the way consumers engage with their phones. Over the last 17 years, InMobi has built a global Advertising Platform that powers our customers’ growth by helping them engage their audiences and drive real connections.

InMobi has also built a second unicorn, Glance, which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India, SEA, Japan and the US – Glance is one of the largest content platforms globally with ~200M daily active users.

Who are we and What do we do?

We help advertisers reach and engage with their target audience globally. We do this through a deep understanding of people, which is enabled through our algorithms that respect privacy. Today, some of the world's largest brands, agencies, developers and publishers are creating great value by using our platforms to deliver compelling proposition to their target consumers.

Currently, we provide over 1.4 billion mobile users with relevant advertisements that enable meaningful decisions. We display 10 billion advertisements on a daily basis!

About The Role

We're 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’ll 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’ll architect and contribute to backend microservices at the core of our DSP stack, including integrations with SSPs, ad exchanges, and identity resolution platforms.

You’ll 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.

What You’ll Do

• Own end-to-end data pipelines - batch and real-time - for bid requests, win/loss events, impression logs, click streams, and conversion signals at scale.
• Build and maintain our data lakehouse (ingestion - storage - serving) for low-latency DSP analytics and ML feature generation.
• Own our StarRocks deployment for real-time analytical queries; drive FinOps discipline and data governance (metadata, PII, GDPR/CCPA).
• Architect DSP backend microservices - bid shading, pacing, budget management, reporting APIs - and the data contracts between them.
• Set standards for API design, service reliability, and observability; ensure low-latency data reads (Aerospike, Cassandra) for the bidding path.
• Lead architecture reviews, mentor SDE II/III engineers, and own the technical roadmap for data infrastructure.
• Partner with ML engineers across the feature engineering, training, and model-serving lifecycle.

What We’re Looking For

• 8+ years of software engineering experience, including 4+ years in data engineering or large-scale data systems; ad‑tech, programmatic, or RTB experience strongly preferred.
• Deep expertise in distributed stream processing (Kafka, Flink, or Spark Structured Streaming) and strong SQL at petabyte scale.
• Hands‑on experience with real-time analytical databases (StarRocks, Snowflake, or ClickHouse), orchestration tools (Airflow, Prefect, Dagster), and open table formats (Iceberg, Delta Lake, Hudi).
• Proficiency in Python (primary) and/or Java/Scala, REST/gRPC microservices, Kubernetes, and CI/CD pipelines.
• Understanding of the RTB ecosystem (OpenRTB, SSPs, ad exchanges), identity resolution (UID2/RampID), and privacy regulations (GDPR/CCPA).
• Demonstrated experience leading technical squads, with strong communication skills and a track record of shipping from ambiguous requirements to production.

Our Stack

• Kafka
• Flink
• Spark
• StarRocks / ClickHouse
• Iceberg
• Airflow
• Python / Java / Scala
• Kubernetes / GKE
• Aerospike
• dbt
• Terraform
• OpenRTB

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.