13 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Develop, benchmark, and deploy real-time bidding algorithms, pacing controls, and predictive models to maximize ROAS and conversion tracking across CTV, mobile, video, and desktop.
- Design, evaluate, implement, and scale low-latency streaming and batch pipelines for conversion and multi-touch attribution data.
- Build mobile advertising mechanisms compatible with SKAdNetwork, Attribution API, and Android Privacy Sandbox constraints.
- Implement cross-device graph integrations, household-level frequency capping, and server-to-server attribution for CTV and video.
- Integrate alternative desktop identity frameworks such as UID2 and LiveRamp ATS.
- Audit data ingestion systems for architectural flaws, data loss, and latency affecting attribution accuracy and campaign performance.
- Write high-performance, low-latency, memory-efficient code for backend systems processing trillions of monthly events.
Requirements
- At least 5 years of software engineering experience focused on performance advertising, programmatic bidding, or large-scale user-conversion optimization loops.
- Production experience evaluating and implementing multi-touch attribution, last-touch attribution, or incrementality testing frameworks.
- Hands-on experience engineering terabyte-to-petabyte-scale data pipelines using distributed frameworks and cloud data warehouses such as Apache Spark, Apache Flink, Kafka, Snowflake, and BigQuery.
- Technical familiarity with mobile, CTV, video, and desktop advertising specifications, including IDFA/GAID loss mitigations, App Transport Security, and IFA standards.
- Deep understanding of OpenRTB, DSP/SSP mechanics, and supply-path optimization.
- Experience deploying production-grade machine learning frameworks for CTR/CVR prediction.
- Strong system-level performance benchmarking skills, including memory allocation profiling and I/O bottleneck reduction.
- Bachelor’s degree in engineering or an equivalent degree.
Benefits
- Hybrid work schedule of 3 days in the office and 2 days working remotely.
- Paternity and maternity leave, healthcare insurance, and broadband reimbursement.
- Office kitchen with healthy snacks and drinks and catered lunches.
Tech Stack
Categories
BackendData Engineering
