Engineer Jobs

About The Position

Requirements

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

• 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.

Responsibilities

• 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.
• Drive cross-team technical strategy with peer principals across Microsoft Advertising — bidders, supply integrations, brand safety, identity, measurement, and billing.
• 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.
• 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.
• Evolve the bidder adapter framework to support new supply types (display, native, video) and new integration patterns (server-side header bidding, deal-based, programmatic guaranteed).
• Improve the auction subsystem — pricing, filtration (L1 brand safety, IP blocks, embargoes), bidder selection, and response shaping — with measurable revenue and quality impact.
• Strengthen the experimentation framework (flights, traffic sub-groups) so PMs and data science can ship A/B tests safely at high cadence.
• Improve observability of the request path: structured Event Hub logging, sampling strategies, metrics, and tracing across the bidder fan-out.
• Drive Azure-native deployment and operational excellence across AKS, ACR, Azure Key Vault, Azure Blob Storage, Azure Event Hubs, and Azure AD.
• Lead initiatives to reduce cost-per-request, improve cold-start and config-reload behavior, and harden cross-region failover.
• Improve CI/CD on Azure DevOps, including canary, progressive rollout, and automated rollback strategies.
• Lead initiatives that make delivery of high-quality software routine and efficient across the full SDLC — from inception and technical design through testing, deployment, and oncall.
• Contribute to runbooks, deployment documentation, and oncall readiness
• Lead efforts to raise the bar on incident response and institutionalize effective post-incident learning.
• Leverage AI dev tools across the software development lifecycle to raise team-wide engineering productivity.

Benefits

• The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
• Certain roles may be eligible for benefits and other compensation.
• Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay