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Salary
$26k – $68k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 7+ years exp
Overview
Company
Impact
Profile match
InMobi is a global adtech and consumer technology multinational headquartered in Bengaluru, India, with a major corporate presence in Singapore, San Francisco, and London. Founded in 2007 (originally as mKhoj), it made history in 2011 by becoming India's first unicorn startup.

Responsibilities:

  • Platform -Reliability and Operations: Ensure availability, stability, observability, and scalability of the data platform. Own production issue resolution, RCA, and continuous improvements.
  • Architecture and Feature Development: Lead design and delivery of platform features. Make informed choices across data architectures (e. g., batch vs. streaming, Delta vs. Iceberg), orchestration tools (Airflow, Argo), and scalability patterns.
  • Performance and Cost Efficiency: Implement best practices for partitioning, indexing, and resource optimization. Drive cost efficiency through FinOps-aligned design and observability.
  • Platform Thinking and Governance: Treat platform as a productbalance usability, governance, and adoption. Define and track KPIs for usage, performance, and cost.
  • Code Excellence and Engineering Discipline: Write modular, testable, and maintainable code. Build CI/CD pipelines, structured logging, and enable observability and debugging by design.
  • Collaboration and Leadership: Collaborate across teams, own stakeholder communication, drive sprint execution, and contribute to documentation. Mentor engineers and influence best practices.
  • Governance and Reliability: Apply data access policies, SLA/SLO tracking, and schema evolution best practices. Enable monitoring, auditing, and incident management.
  • Leadership and Ownership: Take initiative, prioritize business impact, mentor team members, and drive accountability in delivery and technical decision-making.

Requirements:

  • 7-10 years in backend engineering.
  • Proficient in Java, Shell, Kubernetes, CI/CD, Terraform, observability tools, and Linux-based systems.
  • Know about Cloud and Data Ecosystem.
  • Hands-on with Azure/GCP/AWS, modern orchestration tools, data formats (Parquet, Delta, Iceberg), and compute engines (Databricks, Clickhouse, Trino).
  • System Design and Optimization: Design scalable, fault-tolerant systems with efficient storage, caching, and cost control.
  • Experience with model serving frameworks is a plus.
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