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 systems.
Prior experience in ad-tech, programmatic advertising, or real-time bidding (RTB) environments strongly preferred.
Experience in ML engineering, feature engineering, building offline training pipelines, or collaborating closely on model productionisation — is preferred.
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Data Engineering (Core)

Deep expertise in distributed stream processing frameworks — Apache Kafka, Apache Flink, or Apache Spark Structured Streaming.
Strong command of SQL and experience optimizing complex analytical queries at petabyte scale.
Hands-on experience with real-time analytical databases, particularly StarRocks; familiarity with Snowflake or ClickHouse is a plus.
Proficiency with workflow orchestration tools: Apache Airflow, Prefect, or Dagster.
Solid understanding of data modelling — dimensional modelling, OBT patterns, and eventdriven schemas relevant to ad impression and attribution data.
Familiarity with open table formats: Apache Iceberg, Delta Lake, or Apache Hudi.

Backend & Systems:

Proficiency in Python (primary) and/or Java/Scala for building production-grade services and data processing jobs.
Experience designing and building RESTful APIs and/or gRPC-based microservices.
Working knowledge of low-latency data stores (Aerospike, Cassandra) used for real-time lookups in the bidding path.
Comfortable with containerised deployments on Kubernetes and CI/CD pipelines (GitHub Actions, ArgoCD, or similar).

Leadership & Collaboration:

Demonstrated experience leading technical squads or functioning as a technical anchor on cross-functional projects.
Strong written and verbal communication skills; ability to translate technical complexity for nonengineering stakeholders.
Track record of driving projects from ambiguous requirements to production with high engineering quality

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.

Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

SDE IV - Data Engineer.