Shambhavi Lau — SRE (Site Reliability Engineer)
A passionate software engineer with a strong foundation in data analysis and a experience in building reliable, scalable, systems. My work sits at the intersection of infrastructure, observability, and product strategy—where I use data, code, and collaboration to deliver systems that perform under pressure. With hands-on experience in the Fintech industry, I’ve contributed to cloud-based digital payment platforms, ensuring high availability, security, and performance in production-grade environments. From developing and monitoring distributed applications using Datadog and Splunk to managing microservices on AWS ECS, Lambda, and Kubernetes, I bring a full-stack approach to reliability - applying a software engineering mindset to SRE challenges. Beyond technical implementation, I collaborate closely with Product Owners and Solution Designers to shape the roadmap—offering SRE insights, conducting impact analysis, and aligning technical decisions with business goals. Specializing in Machine Learning and Data Science, I bring analytical thinking and creativity to every challenge. Goal-driven and systematic, I focus on optimizing workflows, enhancing experience, and solving complex problems through innovative, data-driven solutions. With strong communication skills and a collaborative approach, I’m committed to delivering high-quality outcomes while staying adaptable in a fast-evolving tech landscape. A collaborative problem-solver with strong communication skills, I am dedicated to delivering high-quality software solutions while continuously adapting to emerging technologies. Curious, creative, and systems-minded—I thrive on building dependable, dynamic systems through thoughtful design and continuous improvement. Let's connect and explore opportunities!
Stackforce AI infers this person is a Fintech-focused Software Engineer with expertise in DevOps and system reliability.
Location: Delhi, India
Experience: 6 yrs 7 mos
Skills
- Software Engineering
- Devops
- Salesforce Development
- Leadership
- Machine Learning
Career Highlights
- Expert in building reliable, scalable systems.
- Strong foundation in data analysis and machine learning.
- Proficient in DevOps and cloud technologies.
Work Experience
Thales Digital Identity and Security (ex Gemalto)
Service Reliability Engineer II (1 yr 3 mos)
Service Reliability Engineer (11 mos)
Software Engineer (8 mos)
Accenture
App Development Associate (4 mos)
National Physical Laboratory, New Delhi
Machine Learning Intern (2 mos)
Deloitte
Intern (1 mo)
Amity University Noida
Event Coordinator (0 mo)
Amity ACM Student Chapter
Head Of Design (1 yr 10 mos)
Ericsson
Software Engineer Intern (2 mos)
Computer Society of India
Member (3 yrs 10 mos)
Education
Bachelor of Technology - BTech at Amity University
Specialization Certificate Course at The Johns Hopkins University
School at Apeejay Stya Education (Svran Foundation)