SDE IV - Engineering

Ovii's Interpretation of the Role

We need a senior technologist to lead data‑engineering for our real‑time demand‑side platform. You will design and operate massive pipelines, build core DSP microservices, and mentor a growing engineering team.

Role Snapshot

• Tech Lead – Data Engineering
• Design & own real‑time & batch pipelines
• Architect core DSP backend services
• Mentor and guide engineering talent
• Drive FinOps, data governance and observability
• Collaborate with product, ML and growth teams

Must-Have Requirements

• Distributed stream processing (Kafka, Flink, Spark)
• Petabyte‑scale SQL
• Real‑time analytical databases (StarRocks, ClickHouse, Snowflake)
• Data lakehouse & open table formats (Iceberg, Delta Lake, Hudi)
• Orchestration tools (Airflow, Prefect, Dagster)
• Python, Java, Scala
• Kubernetes / GKE & CI/CD pipelines
• REST / gRPC API design
• Data governance, metadata & privacy (GDPR/CCPA)
• software engineering
• data engineering
• large‑scale data systems

Nice-to-Have Signals

• Ad‑tech / programmatic advertising experience
• Identity‑resolution platform knowledge (UID2, RampID)
• FinOps discipline
• ad‑tech
• programmatic advertising
• real‑time bidding

Work Setup

• Location: Lucknow
• Employment type: Full-Time

Not Specified in JD

• Salary range
• Remote eligibility
• Visa sponsorship
• Relocation
• Notice period
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Own end‑to‑end batch and real‑time pipelines for bid requests, win/loss events, impression logs, click streams and conversion signals
• Build and maintain a data lakehouse that powers low‑latency DSP analytics and ML feature generation
• Operate the StarRocks deployment, ensure real‑time analytical query performance and enforce FinOps and data‑governance policies
• Architect DSP backend microservices (bid shading, pacing, budget management, reporting APIs) and define their data contracts
• Set standards for API design, service reliability, observability and low‑latency data reads (Aerospike, Cassandra)
• Lead architecture reviews, mentor SDE II/III engineers and drive the technical roadmap for data infrastructure
• Partner with ML engineers across feature engineering, model training and serving pipelines
• Communicate with product and growth stakeholders to translate data needs into production solutions

Good Fit If You Have

• Strong communication and cross‑functional collaboration skills
• Track record of shipping production systems from ambiguous requirements
• Passion for ad‑tech, programmatic advertising or real‑time bidding
• Ability to lead technical squads and mentor engineers