Sde 3

InMobi Advertisingis 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 30000 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 AIwe 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 rich first-party data and unparalleled consumer access it harnesses InMobis 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 Companys 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.

AtInMobi Advertising youll have the opportunity to shape how billions of users connect with content commerce and brands worldwide. To learn more visit

SDE 4 Data Platform Engineering

Mission

Architect a self-serve Data Platform-as-a-Product powering InMobis global-scale data ecosystem. Integrate OSS tools proprietary services and Cloud/SaaS into unified infrastructure. Requires deep data engineering

expertise (batch/streaming pipelines data modeling query optimization governance) combined with platform engineering to build production-grade solutions for data engineers and analysts.

Core Responsibilities

Design & Development - Bridge OSS tools (Spark Flink Airflow Iceberg) internal services and cloud offerings into cohesive data platform infrastructure. Build intuitive platform integrations enabling push-button data workflows.

Scale Engineering - Operate distributed systems processing petabytes of data daily. Own multi-region Kubernetes infrastructure with elastic scalability and fault tolerance.

Performance Optimization - Optimize compute utilization (Spark/Flink clusters Velox/Gluten acceleration) for large-scale batch and real-time streaming with sub-second latency.

Observability & Data Quality - Build comprehensive telemetry (metrics logstraces) and data quality frameworks for 24/7 uptime. Enforce SLAs/SLOs with automated incident response and data validation.

Required Skills & Experience (Must-Have)

710 years building optimizing and operating production data platforms

Deep data engineering fundamentals: data modeling partitioning strategies query optimization

Distributed compute: Spark (PySpark/Scala) Flink streaming performance tuning at petabyte scale

Data lake architecture: Iceberg table format Polaris catalog schema evolution time travel

Orchestration: Airflow DAG development dependency management SLA monitoring

Data transformation: DBT modeling testing documentation incremental builds

Data quality: Great Expectations dqueue validation frameworks drift detection

Query acceleration: Velox Gluten integration columnar formats (Parquet ORC)

Data governance: OpenMetadata catalog lineage tracking access control

Kubernetes platform development: operators (Spark/Flink) Yunikorn scheduler multi-tenancy autoscaling

Cloud infrastructure: GKE multi-region clusters GCS object storage hybrid cloud/on-prem architecture

Programming: Python PySpark Scala for data pipelines and platform tooling

IaC: Terraform Helm GitOps for reproducible deployments

CI/CD: Automated testing deployment pipelines for data platform components

Good-to-Have

Experience building cloud data platform / control plane development

Advanced observability: Prometheus/Grafana Loki Firehydrant integration

Real-time streaming: Kafka integration exactly-once semantics backpressure handling

Cost optimization: Resource allocation query optimization storage tiering strategies

The InMobi Culture

At InMobi culture isnt a buzzword; its 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 to better understand our benefits values and more!