Software Engineer | Secure, scalable, and data-driven systems
Birmingham, United Kingdom · +44 7559 359779 · shreyaanshshukla@gmail.com · LinkedIn
Software engineer with 3+ years of experience delivering secure, scalable, and data-driven web applications. Skilled in designing RESTful APIs, front-end architectures, and distributed back-end systems using Java, Spring Boot, Node.js, React, and TypeScript. Proficient in AWS, Docker, Kubernetes, Terraform, and CI/CD with strong observability (Prometheus, Grafana, OpenTelemetry). Solid grasp of microservices, Zero Trust security, Agile delivery, and TDD/BDD.
- Languages: C++, JavaScript, TypeScript, Java, Python, SQL
- Frontend: React.js, Next.js, Angular, Bootstrap, Tailwind CSS
- Backend: Node.js, Express, Spring Boot, REST APIs, Keycloak/SSO, OAuth2, JWT
- Cloud & DevOps: AWS (EC2, Lambda, RDS, CloudWatch), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Linux/Unix
- Data & Analytics: BigQuery, Looker, PostgreSQL, MySQL, MongoDB, Redis
- Infrastructure & Observability: OpenTelemetry, Prometheus, Grafana, Sentry; blue/green & canary deployments
- Practices: Agile/Scrum, TDD, BDD, Pair Programming, DDD, SOLID, DRY
- Security/Networking: HTTP/HTTPS, VPN, TCP/IP, Proxy/Firewall, Zero Trust, QUIC, API Security, Secure Coding (OWASP)
Aug 2022 – Aug 2025
- Designed and implemented secure RESTful APIs with Spring Boot, Node.js, and Angular, improving efficiency by 30%.
- Led a 4-person team to deliver a Security Resource Management System (React + Node gateway) ahead of schedule via Agile sprints.
- Built Jenkins & GitHub Actions pipelines, reducing deployment time by 40%; implemented comprehensive unit testing to cut bugs by 30%.
- Optimized SQL and caching to reduce server load and improve throughput by 15%; added monitoring and alerts via CloudWatch & Prometheus.
- Authored technical designs and deployment docs that cut onboarding time by 30%; conducted code reviews and pair programming.
- Executed targeted NVD vulnerability scans, remediating three high-risk issues in production.
May 2022 – Jul 2022
- Analyzed campaign data in BigQuery and Looker, improving performance by 15% and informing deployment strategies.
- Automated SQL and Looker API reports to save ~25 hours/month; optimized ETL jobs and dashboard queries for 20% faster responses.
- Correlated product and marketing metrics to strengthen engagement tracking.
Feb 2022 – Apr 2022
- Built automated multi-channel ad reporting pipelines (Amazon, Facebook, TikTok) with Looker + Sheets, halving report delivery time.
- Produced insights that boosted ROI by 25% for client accounts.
Mar 2021 – Jul 2021
- Developed Apex, SOQL, and LWC components to automate processes and improve UX by 20%; completed Salesforce Admin & Developer training (50K+ Trailhead points).
Jul 2020 – Sep 2020
- Rebuilt responsive UIs with React.js & Bootstrap, improving Lighthouse performance and accessibility scores.
- Designed a WebSocket-enabled chat platform with user auth, message persistence, and RESTful APIs backed by MySQL.
- Deployed on AWS EC2 with Docker and Kubernetes, with CI/CD via GitHub Actions; enforced Agile, TDD, and secure coding practices.
- Coursera: Python for Everybody, Data Structures, Data Science Math Skills, Build Your First React Website, AI Chatbot (no-code), Google Cloud Fundamentals
- CodeKaze 2024: All-India Rank 73 / 60,000 participants
- MSc, Advanced Computer Science — University of Birmingham (Sep 2025 – Sep 2026)
- BTech, Computer Science — Bharati Vidyapeeth College of Engineering (Jul 2018 – Jul 2022)
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