Inmobi

3 weeks ago

SDE IV - Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead InMobi’s Data Engineering capability within the Demand-Side Platform, owning end-to-end batch and real-time pipelines for bidding intelligence, targeting, analytics, and attribution at massive scale. Architect and build DSP backend microservices and data contracts, develop a low-latency lakehouse and real-time analytics stack, and ensure governance and reliability. Mentor engineers, drive technical direction, and partner with product, ML, and growth teams.

Location: Lucknow

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end data pipelines for bid requests, win/loss events, impression logs, click streams, and conversion signals in both batch and real-time.
•Build and maintain the data lakehouse (ingestion to storage to serving) to support low-latency DSP analytics and ML feature generation.
•Own StarRocks deployments for real-time analytical queries, and drive FinOps discipline and data governance (metadata, PII, GDPR/CCPA).
•Architect DSP backend microservices (including bid shading, pacing, budget management, and reporting APIs) and the data contracts between them.
•Set standards for API design, service reliability, and observability; ensure low-latency data reads for the bidding path and mentor engineers while partnering with ML, product, and growth teams.

Key Requirements

•8+ years of software engineering experience, including 4+ years in data engineering or large-scale data systems, with ad-tech/programmatic/RTB experience strongly preferred.
•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 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).

Experience:8+ yearsAd-techProgrammatic advertisingRTB

Skills:CommunicationLeadershipTechnical mentorshipOwnershipShipping to production

Languages:English

Tech Stack:KafkaFlinkSparkStarRocksClickHouseIcebergAirflowPythonJavaScalaRESTGRPCKubernetesGKEAerospikeDbtTerraformOpenRTBDelta LakeHudi

Company Brief

Inmobi

InMobi is a global mobile advertising and discovery platform that helps brands and app developers reach and engage audiences through programmatic advertising, monetization solutions, and data-driven targeting across mobile devices.

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Series E+

Headquarters: Bengaluru, India

Founded: 2007

Website LinkedIn

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Inmobi

3 weeks ago

SDE IV - Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Lucknow

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end data pipelines for bid requests, win/loss events, impression logs, click streams, and conversion signals in both batch and real-time.
•Build and maintain the data lakehouse (ingestion to storage to serving) to support low-latency DSP analytics and ML feature generation.
•Own StarRocks deployments for real-time analytical queries, and drive FinOps discipline and data governance (metadata, PII, GDPR/CCPA).
•Architect DSP backend microservices (including bid shading, pacing, budget management, and reporting APIs) and the data contracts between them.
•Set standards for API design, service reliability, and observability; ensure low-latency data reads for the bidding path and mentor engineers while partnering with ML, product, and growth teams.

Key Requirements

•8+ years of software engineering experience, including 4+ years in data engineering or large-scale data systems, with ad-tech/programmatic/RTB experience strongly preferred.
•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 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).

Experience:8+ yearsAd-techProgrammatic advertisingRTB

Skills:CommunicationLeadershipTechnical mentorshipOwnershipShipping to production

Languages:English

Tech Stack:KafkaFlinkSparkStarRocksClickHouseIcebergAirflowPythonJavaScalaRESTGRPCKubernetesGKEAerospikeDbtTerraformOpenRTBDelta LakeHudi

Company Brief

Inmobi

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Series E+

Headquarters: Bengaluru, India

Founded: 2007

Website LinkedIn