Abdur Razzaq Siddiqui
@abdurrazzaqsiddiqui
DevOps Engineer focused on cloud-native infrastructure, Kubernetes/Docker, and automation to improve reliability.
What I'm looking for
I’m an experienced DevOps Engineer building high-availability, cloud-native infrastructure across on-prem and major cloud platforms. I deploy and manage Kubernetes clusters for production-grade workloads—including 4-node Kubernetes setups (on-prem with HAProxy and Keepalived, and Azure AKS with Load Balancer) for a 23-microservice platform using Kustomize.
I drive resilience and faster deployments by implementing multi-master Kubernetes (6 nodes: 3 masters and 3 workers) with HAProxy & Keepalived for minimal-to-no downtime, plus Redis Sentinel failover for Redis high availability. I also R&D and deploy Kafka (KRaft) Confluent clusters to support HA messaging, and streamline delivery through containerization, CI/CD workflows, and automated deployment practices using Docker and cloud infrastructure on Azure. Beyond ops, I’ve built full-stack web apps and microservices with Flask, React.js, Node.js, and FastAPI, and created projects like a Resume - Job Compatibility Checker using Python and NLP techniques.
Experience
Work history, roles, and key accomplishments
Jr. DevOps Engineer
VCONN Pvt. Ltd
Sep 2025 - Present (9 months)
Deployed and managed 4-node Kubernetes clusters for a 23-microservice platform, integrating HAProxy/Keepalived and Kustomize. Implemented Redis Sentinel failover and a Kafka (KRaft) cluster, including R&D for a 6-node multi-master setup with minimal-to-no downtime.
DevOps Engineer
Antology AI
Jul 2024 - Sep 2025 (1 year 2 months)
Managed scalable Azure infrastructure, including VM clusters and PostgreSQL servers, while developing full-stack web applications with Flask, React.js, and Node.js. Containerized applications with Docker, built microservices APIs with FastAPI, and configured reverse proxies to improve security and deployment efficiency.
Education
Degrees, certifications, and relevant coursework
FAST–National University of Computer and Emerging Sciences
Bachelor of Science, Computer Science
2021 - 2025
Grade: CGPA: 3.00
BS in Computer Science at FAST–National University of Computer and Emerging Sciences (2021–2025), with CGPA 3.00.
Availability
Location
Authorized to work in
Job categories
Skills
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