6 days ago
Responsibilities
- Design and own batch and real-time pipelines for bid requests, win/loss events, impressions, clicks, and conversions at scale.
- Build and maintain lakehouse ingestion, storage, and serving layers for low-latency DSP analytics and ML feature generation.
- Own StarRocks deployment, including schema design, ingestion patterns, and analytical query optimization.
- Establish data quality, lineage, observability, SLA, governance, metadata, access-control, PII, and retention standards.
- Drive FinOps practices by tracking platform costs, enforcing quotas, optimizing resources, and reporting unit economics.
- Contribute to backend DSP services for bid shading, pacing, budget management, and reporting APIs.
- Design event schemas and data contracts and promote API reliability, tracing, logging, metrics, circuit breakers, and retries.
- Support low-latency bidder lookups using Aerospike, Cassandra, or similar data stores.
- Lead architecture reviews, engineering standards, roadmap planning, capacity planning, migrations, and build-versus-buy decisions.
- Mentor SDE II/III engineers and collaborate with ML engineers on feature pipelines, training data, experiment tracking, and model serving.
Requirements
- 8+ years of software engineering experience, including at least 4 years focused on data engineering or large-scale data systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Deep expertise with distributed stream processing frameworks such as Apache Kafka, Apache Flink, or Apache Spark Structured Streaming.
- Strong SQL skills and experience optimizing complex analytical queries at petabyte scale.
- Hands-on experience with real-time analytical databases, particularly StarRocks; Snowflake or ClickHouse experience is a plus.
- Experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
- Understanding of dimensional modeling, OBT patterns, event-driven schemas, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.
- Proficiency in Python and/or Java/Scala for production services and data-processing jobs.
- Experience designing RESTful APIs or gRPC-based microservices and using Aerospike or Cassandra for low-latency lookups.
- Experience with Kubernetes-based deployments and CI/CD tooling such as GitHub Actions or ArgoCD.
- Demonstrated technical leadership on cross-functional projects, strong communication skills, and a record of delivering ambiguous projects to production.
- Ad-tech, programmatic advertising, RTB, ML engineering, feature engineering, offline training pipelines, or model-production experience is preferred.
Benefits
- InMobi offers continuous learning and career progression through its Live Your Potential program.
- The company provides reasonable accommodations to qualified individuals with disabilities and is an Equal Employment Opportunity employer.
Tech Stack
Apache AirflowApache CassandraApache FlinkApache KafkaClickHouseGitHub ActionsgRPCJavaKubernetesPythonScalaSnowflakeSQL
Categories
BackendData Engineering
About InMobi
Founded in 2007, InMobi is a global consumer technology company that leverages AI to drive growth through innovative consumer-focused digital platforms and end-to-end mobile advertising solutions. We have grown InMobi Advertising to one of the largest platforms for advertisers and publishers to reach their customers on mobile devices. In 2019, InMobi built Glance, a platform that is helping consumers around the globe discover everything they love on their lock screen and other surfaces. Tomorrow, we see a convergence of AI, Advertising, Entertainment, and Shopping to create personal mobile experiences on a mass scale, ushering in the Surface Economy.