Opportunity at
InMobiStaff Engineer I
This full-time Staff Engineer I role at InMobi sits on the Supply and Monetization Platform team, which operates one of the company's large ad serving systems.…
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About This Role
This full-time Staff Engineer I role at InMobi sits on the Supply and Monetization Platform team, which operates one of the company's large ad serving systems. The posting puts the load at around 260 billion ad requests a day, more than 2.5 billion people reached, and petabyte-scale data. The engineer keeps that infrastructure reliable, quick and economical. The engineer leads the design and rollout of platform features and makes architecture…
Job Description
This full-time Staff Engineer I role at InMobi sits on the Supply and Monetization Platform team, which operates one of the company's large ad serving systems. The posting puts the load at around 260 billion ad requests a day, more than 2.5 billion people reached, and petabyte-scale data. The engineer keeps that infrastructure reliable, quick and economical.
The engineer leads the design and rollout of platform features and makes architecture choices across modern data and distributed systems. Responsibilities include availability, stability, observability and scaling of the data platform, along with handling production incidents, root cause analysis and steady improvement. The platform is treated as a product, with usability, governance and adoption weighed together.
Performance and cost work covers resource tuning, lean data pipelines and FinOps-minded design. The engineer sets and tracks metrics for usage, speed and spend, writes modular and testable code, and builds CI/CD pipelines with structured logging. Collaboration duties include stakeholder updates, keeping sprints on course and mentoring other engineers.
The posting asks for 7 to 10 years in distributed systems or data engineering. Proficiency in Java, Spark, Python, shell scripting, Kubernetes, CI/CD, Terraform, observability tooling and Linux is expected, along with hands-on work on Azure, GCP or AWS and familiarity with table formats and engines such as Databricks, ClickHouse and Trino. Model serving frameworks are an added advantage.
Responsibilities
- Keep the data platform available, stable, observable and scalable
- Handle production incidents, root cause analysis and continuous improvement
- Lead the design and rollout of platform features
- Apply performance engineering and resource tuning to data pipelines
- Set and monitor KPIs for usage, speed and cost
- Write modular, testable code and build CI/CD pipelines with structured logging
- Mentor engineers, keep sprints on course and handle stakeholder updates
Requirements
- 7 to 10 years in distributed systems or data engineering
- Working proficiency across Java, Spark, Python, shell scripting, container orchestration, pipeline tooling, Terraform, observability stacks and Linux
- Hands-on experience with Azure, GCP or AWS
- Familiarity with Parquet, Delta or Iceberg, and with compute engines such as Databricks, ClickHouse or Trino
- Skill in building fault-tolerant platforms that balance storage efficiency, caching and spend
- Experience with data access policies, SLA and SLO tracking, and schema evolution
Qualifications
- Model serving framework know-how would be a plus
Core Skills
Benefits
- Meals, gym and yoga sessions at the office
- Chances to change roles and take bridge assignments with other teams
- Career growth and ongoing learning through the InMobi Live Your Potential program
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
The posting does not specify a city. It is listed as a full-time, on-site position.
What experience is required?
The posting asks for 7 to 10 years in distributed systems or data engineering.
Does the posting list a salary?
No. The posting does not state a salary or pay range.
Which technologies does the role use?
The posting names Java, Spark, Python, Kubernetes, Terraform, Linux and cloud platforms such as Azure, GCP and AWS, along with Databricks, ClickHouse and Trino.
Sample Interview Questions
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