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Shivateja JanjiralaSJ
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Shivateja Janjirala

@shivatejajanjirala

I build reliable Java backend systems and scalable Azure cloud infrastructure.

India
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What I'm looking for

I'm looking to build reliable, high-performance backend systems where I can apply Java, Spring Boot, Azure, Redis, PostgreSQL, and system design skills to real production challenges.

I've built production-style Java and Spring Boot backends, including TriggerX, a crypto price-alert service that processes live Binance WebSocket data and guarantees one notification per triggered alert.

For TriggerX, I implemented passwordless OTP authentication, JWTs, rate limiting, Redis-backed alert handling, Flyway-managed PostgreSQL, and a Telegram bot with Spring AI for natural-language alert commands. I deployed it on Azure App Service with runtime-injected secrets.

I also built Shrinkr, a URL shortener using Redis caching and buffered click analytics to keep redirects sub-millisecond without per-click database writes. Its security controls include token-bucket rate limiting, malware scanning, SSRF protection, hashed delete tokens, and QR code generation.

At Intellipaat Software Solutions, I designed and maintained a private Azure lab environment, automated resource lifecycle policies to reduce operational costs by 60%, and supported secure, stable cloud operations for concurrent training programs.

Experience

Work history, roles, and key accomplishments

IL

Cloud Analyst

Intellipaat Software Solutions Pvt. Ltd

Jun 2024 - Aug 2025 (1 year 2 months)

Designed and maintained a private Azure lab environment, automating resource lifecycle to achieve a 60% reduction in operational costs. Configured and deployed Azure VMs and VNets with NSG rules, implemented security policies, and supported daily Azure operations.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Grade: 8.04/10

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 8.04/10.

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