Job Description

Analyse auction logs, marketplace signals, and system telemetry to diagnose KPI shifts and revenue trends. Investigate anomalies through large-scale data analysis (Hive/Presto/KQL/ADX) and propose data-driven fixes. Identify revenue opportunities through statistical analysis, hypothesis testing, and metric deep dives. Partner with data scientists to validate models, tune pricing logic, or refine optimization algorithms. Build APIs, microservices, and high-performance data pipelines that integrate with partners, marketplaces, and real-time decision workflows. Improve system observability using telemetry instrumentation, dashboards, tracing, and logs. Lead deep-dive debugging efforts during production issues-correlating system states, data patterns, and infrastructure behaviour. Own live-site operations including on-call rotations, root-cause analysis, and long-term reliability improvements. Drive performance tuning to reduce latency, eliminate bottlenecks, and enhance service health. Collaborate closely with PMs, data scientists, analysts, and engineering leaders to align technical execution with business metrics. Contribute to design documents, technical reviews, and long-term architectural decisions. Champion engineering best practices through automated testing, CI/CD, code quality, and documentation. Bachelor's or master's degree in computer science or related technical field AND 6+ years of engineering experience. ; however, for exceptional candidates, experience is not a constraint. Strong coding proficiency in C/C++, C#, or Java. Experience building backend services, distributed systems, or high-scale APIs. Hands-on experience with big data technologies such as Kafka, Hadoop, Spark, ADLS, or similar. Strong debugging, problem-solving, and systems thinking capability. Solid analytical skills with experience using SQL, KQL, Hive, or similar for production investigations. Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making. Experience in programmatic advertising, RTB systems, Open RTB, auction theory, or bidding optimization. Familiarity with statistical analysis, regression, experiment analysis, or data-driven decision systems. Experience improving production telemetry and logging for observability. Ability to perform exploratory analysis, validate hypotheses, and translate findings into engineering changes. Strong communication skills and ability to tailor insights to technical and non-technical audiences. Demonstrated track record of shipping high-quality systems or services in fast-paced environments.

Skills Required