Anurag Jha

Software Engineer

Bengaluru, Karnataka, India5 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 4 years of experience in scalable system design.
Expert in cloud-native applications across major platforms.
Proven track record in performance optimization and automation.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in scalable systems and microservices.

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Skills

Core Skills

Cloud DevelopmentMicroservices

Other Skills

AWSBootstrap (Framework)C (Programming Language)C#C++Cloud InfrastructureCommunicationCross-platform DevelopmentCryptographyDSAData AnalysisData structures and AlgorithmsDebuggingDeep learningDocker

About

Software Engineer with over 4 years of experience designing and developing scalable, high-performance systems using Java, C++, and Go. Experienced in building distributed services and cloud-native applications across OCI, AWS, and GCP. Skilled in data migration, system monitoring, and performance optimization, with a strong focus on automation, reliability, and operational excellence. Passionate about designing secure, resilient platforms and delivering robust engineering solutions that drive efficiency and scalability.

Experience

5 yrs 10 mos

Total Experience

2 yrs 11 mos

Average Tenure

4 yrs 11 mos

Current Experience

Oracle

Member Of Technical Staff IC2

Jul 2021 – Present · 4 yrs 11 mos · Bengaluru, Karnataka, India · Remote

Managed Artifact Repository System
◦ Engineered an OpenAPI-based Docker and Generic API to store, retrieve, and manage 1M artifacts
ingested daily with a 500 ms overall response time.
◦ Designed and developed a high-performance synchronous migration service for artifacts from JFrog
Artifactory to an internal repository, leveraging multi-threaded workers to enable 35M daily migrations with 2s reverse sync latency.
◦ Orchestrated a scalable asynchronous task manager service for image flattening, handling 500K+ daily tasks with a task queue and status tracking API, reducing API response time by 40% and improving efficiency by 60%.
◦ Implemented REST API for repository management, enabling creation, listing, and updating of repositories, streamlining data accessibility and operational efficiency, handling 1M+ repositories.
◦ Led Operations Excellence across all team projects, implementing end-to-end metrics emission, alarm, canary, and Grafana-based monitoring for enhanced system observability.
DevOps Build Services Team
◦ Optimized monitoring and incident management, cutting BuildRunner consumption by 68%, enhancing canary success metrics, and improving Data Plane availability, leading to increased system reliability and operational efficiency.
◦ Implemented unit and integration test and canaries to improve test coverage from 55% to 80%, enhancing system reliability and early issue detection.