SDE IV - Engineering

Inmobi; Lucknow; On-site; INR 2,500,000 - 3,500,000; Full time

Job summary

Inmobi in Lucknow is seeking a Tech Lead / SDE IV to enhance their Data Engineering capability. You will be responsible for designing and delivering data pipelines, architecting backend microservices, and mentoring a team to turn data into a competitive advantage.

The role demands extensive experience in software and data engineering, particularly within the ad-tech domain. Proficiency in distributed stream processing, real-time databases, and Python is essential. Inmobi is committed to equal opportunity and provides accommodations for qualified individuals.

Qualifications

• 8+ years of software engineering experience, including 4+ years in data engineering.
• Experience with ad-tech and programmatic systems preferred.
• Strong communication skills and leadership in technical squads.
• Proficiency in Python or Java/Scala for backend services.

Responsibilities

• Own end-to-end data pipelines for bid requests and analytics.
• Architect DSP backend microservices for various functionalities.
• Set standards for API design and data governance.
• Mentor engineers and manage technical roadmaps.

Skills

Distributed stream processing expertise

SQL proficiency at petabyte scale

Python (primary)

Java/Scala

Kubernetes knowledge

REST/gRPC microservices

Hands-on with real-time databases

Tools

Kafka

Flink

Airflow

StarRocks

Terraform

Job description

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

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.