
Anupriya User
@anupriyauser2
Platform Engineer at LV 1871, automating DB2 access management and deploying a highly available message broker on Kubernetes/OKD.
What I'm looking for
At LV 1871, I automated DB2 role and access management with Ansible and GitLab CI/CD, including a custom module to show permission changes. I also built a reusable GitOps pipeline to deploy ArkMQ/ActiveMQ Artemis on Kubernetes/OKD, covering high availability, backups, TLS, and authentication.
Previously, at PAB Engineering, I designed Java and Spring Boot microservices for 50,000+ active users and reduced average REST API response times from 180 ms to 112 ms. At Relata.io, I developed an event-driven logistics platform processing 500,000+ daily shipping events, and at QuantX I worked on trading engines with end-to-end latency under 100 microseconds.
Experience
Work history, roles, and key accomplishments
Platform Engineer / IT System Administrator
LV 1871
Jul 2026 - Present (3 months)
Automated DB2 role and access management using Ansible and YAML-based RBAC, deployed via GitLab CI/CD. Built GitOps/CI-CD repository for deploying ArkMQ/ActiveMQ Artemis on Kubernetes/OKD, and developed a Spring Boot cmdb-gateway for asset tracking.
Backend Developer
PAB Engineering
Apr 2024 - Jan 2026 (1 year 9 months)
Designed Java/Spring-Boot microservices architecture for 50,000+ active users with 99.9% uptime SLA, reducing REST API response times by 38%. Containerized services with Docker and built GitLab CI/CD pipelines that cut deployment cycles by 40%.
Technology Consultant
Relata.io
Jun 2022 - Mar 2024 (1 year 9 months)
Developed an event-driven B2B logistics platform processing 500,000+ daily shipping events. Built a data-driven vendor-matching engine improving supplier assignment by 32%, and introduced CI/CD automation reducing release cycles to under 2 days.
Quantitative Researcher & Developer
QuantX
Jul 2020 - Jun 2022 (1 year 11 months)
Developed algorithmic trading engines in C++/Rust/Python with sub-100 microsecond latency, processing millions of market ticks per second. Implemented ML inference microservices and reduced mean error detection time by 60%.
Education
Degrees, certifications, and relevant coursework
Manipal Institute of Technology
Bachelor of Technology, Computer Science Engineering
2018 - 2022
Pursued a Bachelor of Technology in Computer Science Engineering from August 2018 to August 2022.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Interested in hiring Anupriya?
You can contact Anupriya and 90k+ other talented remote workers on Himalayas.
Message AnupriyaGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
