Mountain View, United States; Redmond, United States
Full job description
Microsoft Advertising Mediation Service (MMS) is a real-time auction and mediation platform built on Go, processing OpenRTB traffic globally. The Senior Software Engineer will own architecture decisions for MMS scaling, including request hot path, experimentation framework, bidder adapter ecosystem, and Azure infrastructure. Responsibilities include designing scalable Go services with strict latency and availability SLAs, extending bidder adapter framework, improving auction subsystems, contributing to experimentation and observability frameworks, and enhancing Azure-native deployment and CI/CD pipelines. Requires Bachelor's degree and 4+ years engineering experience or equivalent, with preferred qualifications including advanced degrees and 6+ years experience. Must have deep Go experience, knowledge of OpenRTB and programmatic advertising, auction systems, Kubernetes and Azure services, distributed systems, experimentation platforms, and observability tools. Role is full-time, on-site in Redmond, WA or Mountain View, CA. Salary ranges from $119,800 to $234,700 annually, higher in SF Bay Area and NYC.
What you'll do
Contribute to architecture of MMS platform including OpenRTB request hot path, auction engines, bidder adapter framework, and experimentation system
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Mountain View, United States; Redmond, United States
Full-time
Collaborate with engineers across teams on shared technical problems
Participate in design and code reviews and mentor senior engineers
Identify and surface technical risks related to reliability, latency, cost, and correctness
Design and build highly scalable Go services with strict latency and availability SLAs
Extend bidder adapter framework to support new supply types and integration patterns
Improve auction subsystem components with measurable revenue and quality impact
Contribute to experimentation framework to enable safe, high-cadence A/B tests
Improve observability of request path including logging, metrics, and tracing
Contribute to Azure-native deployment and operational excellence across multiple Azure services
Participate in initiatives to reduce cost-per-request, improve cold-start and config-reload behavior, and harden cross-region failover
Improve CI/CD pipelines including canary and progressive rollout strategies
Help make delivery of high-quality software consistent and efficient across SDLC
Contribute to runbooks, deployment documentation, and oncall readiness
Participate in incident response and post-incident reviews
Leverage AI dev tools to raise engineering productivity
Requirements
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Pass Microsoft Cloud background check upon hire/transfer and every two years thereafter
Preferred: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience OR Bachelor's Degree AND 8+ years experience OR equivalent experience
4+ years of experience building and operating latency-sensitive backend services with strict SLA requirements (P99 measured in milliseconds, five-nines availability)
Deep production experience with Go including profiling, GC tuning, concurrency patterns, and performance-sensitive code
Hands-on experience with OpenRTB / programmatic advertising including header bidding, real-time bidding, mediation, exchanges, SSPs/DSPs, brand safety, or identity/cookie syncing
Experience with auction systems including pricing logic, bidder filtration, dynamic reserve pricing, or floor-price optimization at scale
Production experience with Kubernetes & Azure services including AKS, ACR, Azure Key Vault, Azure Event Hubs, Azure Blob Storage, Azure Application Insights, and Azure DevOps
Solid understanding of distributed systems concepts such as consistency trade-offs, fault tolerance, distributed caching, and cross-region replication
Experience designing or scaling experimentation platforms such as A/B testing frameworks, feature flags, or controlled rollout systems
Experience with observability tools including structured logging, high-cardinality metrics, sampling at scale, and event streaming pipelines
Competitive salary rangePotential eligibility for benefits and other compensationInclusive and diverse work cultureOpportunities for mentorship and professional growth
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