Vikrant Goyal
Software Engineer 2 at Microsoft
- Role
- Software Engineer 2 at Microsoft
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Vikrant Goyal
I am a strong engineering professional with a B.Tech and Masters by Research in Computer Science from Hyderabad, with published research demonstrating depth in systems and applied computer science. Early in my career, I completed Google Summer of Code (GSoC) as an undergraduate and later served as a GSoC and Google Code‑In mentor, showcasing leadership, technical project management, and community contribution.With 6 years of experience as a Software Engineer at Microsoft, I have worked across the design, development, and delivery of high‑impact features and cloud‑scale systems. I specialize in distributed systems, cloud architecture, and secure, scalable service design.Currently, as part of the Azure SQL DB team, I am leading the next‑generation redesign of the SQL DB Import/Export service, driving its migration from a legacy Service Fabric–based system to a modern, serverless, container‑native architecture on Azure Container Instances. This transformation improves scalability by ~300×, eliminates 80% underutilized COGs, reduces recurring operational costs, significantly boosts reliability and performance, and enables support for much larger databases up to 25 TB — delivering a dramatically improved customer experience.I have consistently demonstrated the ability to lead complex, large‑scale projects, architect systems from the ground up, deliver iterative improvements, and uphold engineering excellence. My work reflects a balance of hands‑on implementation, long‑term architectural thinking, and research‑grounded problem‑solving.
Experience
Software Engineer 2
Dec 2024 — Present · Bengaluru, IN
As part of the Azure SQL DB team, I’m leading the next‑generation redesign of the SQL DB Import/Export service by migrating it from legacy Service Fabric infrastructure to a modern, serverless, container‑based architecture on Azure Container Instances. This transformation boosts scalability by nearly 300×, eliminates 80% of underutilized COGs, reduces recurring operational costs, and significantly improves reliability and performance—while enabling support for much larger databases up to 25 TB, delivering a far better customer experience.
Education
International Institute of Information Technology Hyderabad (IIITH)
B.Tech (Hons.) + MS by Research , Computer Science
2015 — 2020
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