Shivam Jindal

Software Engineer

Mumbai, Maharashtra, India4 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in building scalable, high-performance systems.
Proficient in optimizing cloud infrastructure with Docker and Kubernetes.
Strong background in API development and data caching solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in cloud infrastructure and scalable systems.

Contact

Skills

Core Skills

Software DevelopmentMicroservicesContainerizationComputer ScienceApi Development

Other Skills

Amazon Elastic Container Registry (ECR)GitHubVersion ControlLocustData CachingDRM Fairplay WidevineAmazon CloudFrontPayment GatewaysOAuth 2.0 with PKCE (Proof Key for Code Exchange)TranscodingDRMDevOpsDockerLogbackLog4j

About

I’m a Software Engineer specializing in building scalable, high-performance systems and optimizing cloud infrastructure. Proficient in Java, Python, Docker, and Kubernetes, I focus on enhancing system efficiency, security, and maintainability. I’m passionate about solving complex challenges, streamlining CI/CD workflows, and contributing to collaborative, high-impact projects. Always open to connecting and exchanging insights within the tech community.

Experience

4 yrs 9 mos

Total Experience

3 yrs 5 mos

Average Tenure

1 yr 4 mos

Current Experience

Mythik

Senior Software Developer

Feb 2025 – Present · 1 yr 4 mos · Mumbai, Maharashtra, India · On-site

Software DevelopmentMicroservices

Sony

3 roles

Software Engineer Ⅱ

Promoted

Jul 2024 – Dec 2024 · 5 mos

ContainerizationAmazon Elastic Container Registry (ECR)

Software Engineer Ⅰ

Jan 2021 – Jun 2024 · 3 yrs 5 mos

GitHubComputer Science

Intern

Oct 2020 – Dec 2020 · 2 mos

Version ControlLocust

Ge digital

Digital Specialist

May 2019 – Jul 2019 · 2 mos

Implemented a cache layer between the data publish and retrieval layer and measured its impact on reducing the Cassandra DB read load. Added the redis layer between the data publish layer and data retrieve layer.
The project reduced the latency for target query by a factor of six. GoLang and Java were used

API DevelopmentData Caching