Description :

About the job :

InMobi Advertising is 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 30,000+ 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.

What Will You Be Doing :

Area Responsibilities :

- Platform Reliability & Operations : Ensure availability, stability, observability, and scalability of the data platform. Own production issue resolution, RCA, and continuous improvements.

- Architecture & 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 & Cost Efficiency : Implement best practices for partitioning, indexing, and resource optimization. Drive cost efficiency through FinOps-aligned design and observability.

- Platform Thinking & Governance : Treat platform as a productbalance usability, governance, and adoption. Define and track KPIs for usage, performance, and cost.

- Code Excellence & Engineering Discipline : Write modular, testable, and maintainable code. Build CI/CD pipelines, structured logging, and enable observability and debugging by design.

- Collaboration & Leadership : Collaborate across teams, own stakeholder communication, drive sprint execution, and contribute to documentation. Mentor engineers and influence best practices.

What Do We Expect From You :

- Experience & Skills : 7-10 years in Backend Engineering. Proficient in Java, Shell, Kubernetes, CI/CD, Terraform, observability tools, and Linux-based systems.

- Cloud & Data Ecosystem : Hands-on with Azure/GCP/AWS, modern orchestration tools, data formats (Parquet, Delta, Iceberg), and compute engines (Databricks, Clickhouse, Trino).

- System Design & Optimization : Design scalable, fault-tolerant systems with efficient storage, caching, and cost control. Experience with model serving frameworks is a plus.

- Governance & Reliability : Apply data access policies, SLA/SLO tracking, and schema evolution best practices. Enable monitoring, auditing, and incident management.

- Leadership & Ownership : Take initiative, prioritize business impact, mentor team members, and drive accountability in delivery and technical decision-making.