Overview
Within the CoreAI organization, the Azure Managed Redis team is responsible for delivering a fully managed, enterprise-grade Redis experience to customers worldwide. We partner closely with Redis Inc. to bring the latest Redis Enterprise capabilities to Azure, and we operate one of the largest Redis fleets on the planet. Our dataplane infrastructure team owns the critical systems that deploy, upgrade, monitor, and heal Redis clusters at massive scale — ensuring five-9's availability for workloads that demand sub-millisecond latency.
We are seeking a Senior Software Engineer who is an innovator and technical leader, excels in large-scale distributed systems, navigates ambiguity with confidence, and drives end-to-end ownership. You should be an early adopter of AI-powered development tools such as GitHub Copilot and actively explore how Large Language Models and ML techniques can enhance engineering effectiveness, operational intelligence, and service reliability. In this role, you will shape the future of a global cloud service — from the deployment pipelines that push bits to 70+ regions, to the AI-powered observability systems that keep the fleet healthy.
This is a high-impact opportunity to define the next generation of cloud dataplane infrastructure, influence technical strategy for a flagship Azure service, and mentor engineers while contributing code at scale. You will work closely with teams across Azure Compute, Networking, and Storage, as well as with Redis Inc., to build a world-class managed data platform. Microsoft's mission is to empower every person and every organization on the planet to achieve more, and we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.
Build the platform that powers hundreds of thousands of cloud applications worldwide. Azure Managed Redis (AMR) is a critical foundation for modern, low-latency applications — from real-time AI inference caches to globally distributed session stores and leaderboards. We are entering a pivotal transformation: significantly expanding the service footprint, modernizing the orchestration and deployment platform, and accelerating release velocity — all while raising the bar for reliability and quality. If you're excited about building planet-scale infrastructure, pushing boundaries with AI-driven engineering and operations, and working at the intersection of open-source innovation and cloud-native engineering, this is your opportunity to make a global impact.
- Lead architecture, design, and technical direction for the runtime infrastructure of Azure Managed Redis, one of Azure's fastest-growing data services.
- Design and build robust deployment, upgrade, and orchestration systems for distributed Redis clusters running across 70+ Azure regions worldwide.
- Drive the integration of Redis Enterprise software from Redis Inc. into Azure's managed environment, enabling seamless cluster upgrades while preserving high availability, data consistency, and performance under mission-critical workloads.
- Architect the end-to-end release platform across infrastructure, application, and observability layers to accelerate release velocity and improve deployment safety.
- Write high-quality, production-grade code in languages such as C# and Go while modeling best practices for reliability, testability, and operational excellence.
- Lead design and review of testing strategies with strong coverage across unit, integration, and end-to-end system tests for distributed infrastructure.
- Apply AI techniques (e.g., GitHub Copilot, LLMs, anomaly-detection models) to enhance DevOps, operations, and engineering workflows — detecting, diagnosing, and responding to issues across the global fleet.
- Build and improve observability, monitoring, and diagnostics tooling to enable rapid incident detection, root-cause analysis, and self-healing capabilities at scale.
- Mentor engineers on distributed systems design patterns, operational best practices, and verification strategies.
- Set high standards for code reviews, diagnosability, and maintainability across the team.
- Identify and fill gaps in deployment, orchestration, and operational tooling by building or adopting scalable and reusable solutions.
- Stay current with new technologies, industry trends in cloud infrastructure and data platforms, and share knowledge across the team.
- Lead cross-functional planning, estimation, and execution of high-impact technical initiatives with partner teams across Azure.
- Engage directly with internal customers, partner teams (e.g., Azure Compute, Networking, Redis Inc.), and on-call operations to align platform capabilities with service reliability and accelerate growth.
Responsibilities
- Design and deliver foundational platform capabilities and microservices for a hyperscale managed service
- Own end-to-end release engineering for a large-scale, mission-critical live service
- Lead critical technical decisions and execution across multiple teams
- Drive reliability, observability, and operational excellence across the fleet
- Champion AI-assisted engineering to accelerate delivery while raising the quality bar
Qualifications
Required Qualifications:
- 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.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred qualifications:
- Master's Degree in Computer Science, or related technical discipline AND 6+ 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 2+ years experience building and operating distributed and highly scalable online services on Kubernetes in Azure or a similar cloud platform.
- 6+ months of experience applying AI technologies (such as large language models or code generation tools) in software development workflows, including tasks like static analysis, automated documentation, or test generation.
- Demonstrated ability to enhance engineering systems, developer speed, and product quality at scale.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about **requesting accommodations.**