Senior Software Engineer - CoreAI

We’re entering a new era defined by the power of AI to transform how organizations operate and innovate. At Microsoft, we’re building the next generation of AI-powered platforms and production-grade solutions that help customers solve complex challenges and create meaningful business impact. Durable Task Scheduler (DTS) is a fully managed Azure service that lets developers write reliable, stateful, distributed workflows and durable AI agents in code that reads like ordinary async programming, backed by checkpointing with automatic replay, transparent retries, fan-out/fan-in parallelism, durable timers, durable entities, and human-in-the-loop steps.

As a Senior Software Engineer - CoreAI on the Durable Task Scheduler team, you’ll work at the intersection of durable execution and real-world customer outcomes. Embedded directly with customers, you’ll partner closely with stakeholders to understand their most critical workflow, orchestration, and AI agent challenges, and rapidly design, build, and deploy DTS-powered solutions that move from concept to production.

Working in small, cross-functional teams alongside engineers, product managers, and domain experts, you’ll own the end-to-end delivery of production-grade applications, durable workflows, and AI agent systems built on DTS and the Durable Task SDKs (.NET, Python, Java, JavaScript/TypeScript, and Go). You’ll apply modern engineering practices and AI-enabled engineering practices across the development lifecycle to help customers accelerate decision making, improve operations, and unlock new opportunities, and you’ll bring what you learn in the field back to the product team to shape the service, SDKs, and developer experience.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Partner directly with customers and stakeholders to understand business challenges, define success criteria, and translate needs into durable workflow and orchestration solutions built on Durable Task Scheduler.
• Design, build, test, deploy, and operate secure, reliable, and scalable production-grade software systems and services using DTS, Azure Durable Functions, and the Durable Task SDKs, applying AI and data capabilities where appropriate.
• Rapidly move from concept to prototype to production, iterating alongside customers to deliver measurable business outcomes.
• Build durable, stateful, and observable AI agents and agentic workflows, including with the Microsoft Agent Framework, that connect customer systems, data, and AI capabilities into reliable end-to-end solutions.
• Help customers adopt durable execution patterns (fan-out/fan-in, durable timers, durable entities, human-in-the-loop, retries, and compensation) and migrate existing workflow or job-scheduling workloads onto DTS.
• Integrate customer solutions with Azure Functions, Azure Container Apps, and Kubernetes/KEDA for hosting, scaling, and deployment.
• Apply engineering best practices including code reviews, automated testing, CI/CD, observability (OpenTelemetry, distributed tracing, and the DTS dashboard), documentation, and security-first development.
• Drive end-to-end ownership of customer solutions, monitoring performance, reliability, quality, and maintainability, and continuously improving deployed systems after release.
• Collaborate across engineering, product management, design, and customer teams to solve complex distributed-systems problems such as concurrency, idempotency, state management, and failure recovery.
• Contribute reusable components, samples, reference implementations, and best practices that can be leveraged across customer engagements and the open-source community.
• Share insights and learnings from customer deployments to help improve the DTS service, SDKs, developer experience, and broader Microsoft platforms and engineering practices.
• Foster a culture of learning, inclusion, innovation, and continuous improvement while contributing to the growth of the broader FDE community.
• Embody our culture and values.

Qualifications

Required/Minimum 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/Additional Qualifications:

• Bachelor’s Degree (or currently pursuing) in Computer Science or related technical field AND 5+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript.
• Experience through coursework, projects, internships, or employment building software, data, cloud, or AI-enabled solutions.
• Interest in working directly with customers and supporting solutions from early concept through deployment and ongoing improvement.
• Familiarity with AI or machine learning concepts, cloud platforms, data pipelines, application development, or deploying technical solutions.
• Familiarity with durable execution, workflow orchestration, or job-scheduling systems (for example, Azure Durable Functions, the Durable Task Framework, Temporal, or AWS Step Functions).
• Exposure to building on Azure Functions, Azure Container Apps, or Kubernetes, or to AI agent frameworks (for example, the Microsoft Agent Framework, Pydantic, or Langchain).
• Demonstrated ability to collaborate with technical and non-technical stakeholders, learn in ambiguous environments, and communicate clearly.

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 $160,200 - $261,000 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.