Senior Software Engineer

Own the long-range architecture of the MMS platform: the OpenRTB request hot path, auction engines (best-price, priority, dynamic reserve price, multi-placement), bidder adapter framework, and the experimentation/flights system. Set and enforce engineering standards through design reviews, code reviews, technical RFCs, and mentorship of senior and staff-level engineers. Identify and resolve systemic risks across reliability, latency, cost, and correctness before they reach production. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years of experience building and operating latency-sensitive backend services with strict SLA requirements (P99 measured in milliseconds, five-nines availability). Go — deep production experience, including profiling, GC tuning, concurrency patterns, and performance-sensitive code on the request hot path. OpenRTB / programmatic advertising — hands-on experience with header bidding, real-time bidding, mediation, exchanges, SSPs/DSPs, brand safety, or identity/cookie syncing. Familiarity with Prebid Server or similar auction platforms. Auction systems — experience designing or evolving pricing logic, bidder filtration, dynamic reserve pricing, or floor-price optimization at scale. Kubernetes & Azure — production experience with AKS, ACR, Azure Key Vault, Azure Event Hubs, Azure Blob Storage, Azure Application Insights, and Azure DevOps; comfortable with multi-region, multi-cluster deployments. Distributed systems — solid grasp of consistency trade-offs, fault tolerance, distributed caching, and cross-region replication patterns. Experimentation platforms — experience designing or scaling A/B testing frameworks, feature flags, or controlled rollout systems. Observability — experience with structured logging, high-cardinality metrics, sampling at scale, and event streaming pipelines (Event Hubs, Kafka, Kusto/ADX). Proven record of mentoring senior engineers and driving cross-team technical initiatives to completion. Solid problem-solving skills with a focus on reliability, observability, and system design. Design and build highly scalable Go services on the MMS platform, with strict latency and availability SLAs measured in single-digit milliseconds and five nines. Improve the auction subsystem — pricing, filtration (L1 brand safety, IP blocks, embargoes), bidder selection, and response shaping — with measurable revenue and quality impact. Improve observability of the request path: structured Event Hub logging, sampling strategies, metrics, and tracing across the bidder fan-out. Improve CI/CD on Azure DevOps, including canary, progressive rollout, and automated rollback strategies. Contribute to runbooks, deployment documentation, and oncall readiness