Sayali Pawar
Senior Software Engineer | .NET Core, Azure, Microservices, CI/CD | Backend & Full Stack
- Role
- Software Engineer at Microsoft
- Location
- Bellevue, WA, US
- LinkedIn followers
- 500 followers
About Sayali Pawar
I’m a Senior Software Engineer with 6+ years of experience specializing in building scalable, cloud-native applications using.NET Core, C#, Azure, and Microservices architecture.I have strong expertise in backend development, REST APIs, distributed systems, and CI/CD pipelines, with hands-on experience in Docker, Kubernetes, and Azure DevOps. I’ve worked on enterprise-level applications, including projects for Microsoft, focusing on performance optimization, system scalability, and secure application design.Key Highlights:• Designed and developed scalable microservices and APIs• Improved application performance by up to 30%• Automated CI/CD pipelines reducing manual effort by 60%+• Experienced in Azure cloud deployments and DevOps practicesVisa Status: H1B (Open to Transfer)I’m actively seeking opportunities as a Senior Software Engineer / Backend Engineer / Azure Engineer where I can contribute to building high-performance and scalable systems. Open to connecting with recruiters and hiring managers.
Experience
Software Engineer
Jul 2023 — Present · Bellevue, WA, US
Full-Stack Systems: Own the end-to-end delivery of infrastructure systems for Microsoft’s cloud and AI platforms. Modernized production UIs using React/Angular, ensuring zero-downtime feature rollouts while maintaining legacy MVC compatibility- Backend & APIs: Engineer high-performance C#/.NET backend services and REST APIs, prioritizing production observability and system reliability for large-scale deployments- CI/CD Automation: Standardized deployment pipelines using Azure DevOps and OneBranch (YAML), transforming manual release processes into repeatable, auditable, and low-touch workflows- Infrastructure Scaling: Automated Service Fabric deployments and compute rack onboarding, significantly reducing rollout failures and eliminating the need for manual service restarts- AI Infrastructure (Maia200): Contribute to the deployment and validation workflows for Maia200 AI accelerators, managing the intersection of hardware constraints and cloud software automation- Observability & Reliability: Reduced incident investigation time by integrating proactive telemetry and dashboards, standardizing configurations across multi-cluster environments.
Education
Modern Education Society's College of Engineering, Pune
Bachelor of Engineering, Computer Engineering
2015 — 2019
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