SDE IV (ML Engineering)

Inmobi
Lucknow
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsSkills: ["Accountability","Ownership"]

Architect a self-serve “Data Platform-as-a-Product” for InMobi’s global data ecosystem, integrating OSS and cloud/SaaS into production-grade infrastructure. Own multi-region Kubernetes-based scale for batch and real-time processing, optimize Spark/Flink performance (including acceleration options), and deliver strong observability with telemetry and data quality enforcement. Build platform integrations for push-button data workflows used by data engineers and analysts.

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FursaFursa
Inmobi
Inmobi
2 days ago

SDE IV (ML Engineering)

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Last checked: 3 hours agoStatus: Live

Job Summary

Architect a self-serve “Data Platform-as-a-Product” for InMobi’s global data ecosystem, integrating OSS and cloud/SaaS into production-grade infrastructure. Own multi-region Kubernetes-based scale for batch and real-time processing, optimize Spark/Flink performance (including acceleration options), and deliver strong observability with telemetry and data quality enforcement. Build platform integrations for push-button data workflows used by data engineers and analysts.
Location: Lucknow
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and develop a cohesive data platform by bridging OSS tools (Spark, Flink, Airflow, Iceberg), internal services, and cloud offerings.
  • •Operate distributed systems processing petabytes daily and own multi-region Kubernetes infrastructure with elastic scalability and fault tolerance.
  • •Optimize compute utilization for large-scale batch and real-time streaming, targeting sub-second latency.
  • •Implement observability and data quality frameworks using metrics, logs, and traces, enforcing SLAs/SLOs with automated incident response and validation.
  • •Accelerate query and data transformation workflows using performance tuning, data acceleration integrations, and reliable pipelines for production use.

Key Requirements

  • •7–10 years building, optimizing, and operating production data platforms.
  • •Strong data engineering fundamentals including data modeling, partitioning, and query optimization.
  • •Experience with distributed compute using Spark (PySpark/Scala) and Flink streaming at petabyte scale.
  • •Hands-on data lake architecture (Iceberg, Polaris catalog, schema evolution, time travel).
  • •Proficiency with orchestration and transformation using Airflow, DBT modeling/testing, and incremental builds.
Experience:7-10 yearsData engineeringDistributed systemsData platformsCloud data lakeData lakehouseData governanceReal-time streaming
Skills:AccountabilityOwnership
Languages:English
Tech Stack:SparkPySparkScalaFlinkAirflowIcebergPolarisDBTGreat ExpectationsParquetORCVeloxGlutenKubernetesGKEGCSTerraformHelmGitOpsCI/CD

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
WebsiteLinkedIn