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Devops Engineer with 4+ years in Financial Domain
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DevOps, MLOps, and Cloud Engineer with 3 years of hands-on experience at Infosys Limited, building and operating cloud-native infrastructure for enterprise clients in the financial domain. Specialized in AWS infrastructure automation, Kubernetes orchestration, CI/CD pipeline design, SRE practices, real-time observability, and production ML deployment. Bridges infrastructure reliability with ML system operations - owning end-to-end pipelines, Kubernetes clusters, observability stacks, and production-grade RAG-based AI systems. Immediately available for DevOps, MLOps, SRE, or Cloud Engineer roles in SaaS, FinTech, or AI-first companies.
Asansol Engineering College, WB
Bachelor of Technology · Unknown
August 1, 2018 – June 30, 2021
WBSCTVT&SD
Diploma in Engineering · Unknown
August 1, 2015 – June 30, 2018
Infosys Limited
Systems Engineer
January 1, 2022 – Present
Bhubaneshwar, Odisha, India
Production RAG Chatbot - LLM APIs & Vector Search
January 1, 2022 – January 1, 2025
Designed and deployed a production-grade Retrieval-Augmented Generation (RAG) chatbot enabling context-aware responses from internal Infosys knowledge bases. Integrated Cohere LLM APIs for NLU and built a FAISS vector search index for fast semantic similarity retrieval from internal document corpus. Containerized with Docker, deployed on Kubernetes with HPA auto-scaling, CI/CD via GitHub Actions, and full observability via Prometheus + Grafana - monitoring API latency, error rates, and uptime.
Azure Fundamentals (AZ-900)
Microsoft
June 1, 2026 – Present
Salesforce AI Associate
Salesforce
June 1, 2026 – Present
DevOps & Cloud Computing
PWSkills
June 1, 2026 – Present
Certified React Associate
Infosys Limited
June 1, 2026 – Present
Certified Java SE-8 Developer
Infosys Limited
June 1, 2026 – Present
Azure Developer Associate (AZ-204)
Microsoft
December 1, 2024 – December 1, 2025
Cultural Fit Analysis
The candidate's experience at Infosys Limited, a large enterprise, suggests an ability to work within structured environments and contribute to complex projects. The diverse skill set spanning DevOps, MLOps, Cloud Engineering, and even some frontend development indicates adaptability and a willingness to learn new technologies. The project on a production RAG chatbot demonstrates innovation and an interest in emerging technologies like AI/ML. The certifications, including Azure and Salesforce AI, show a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The candidate's role in a financial domain implies an understanding of high-stakes environments and attention to detail.
Soft Skills & Operational Fit
The candidate's resume highlights experience in incident response, root cause analysis, and post-incident reviews for SLA-critical systems, indicating strong operational acumen and problem-solving skills under pressure. The focus on reducing manual effort through automation and improving release frequency suggests a proactive and efficiency-driven work attitude. The description of leading incident response implies leadership potential and accountability. The candidate's experience in a financial domain further suggests an understanding of critical systems and compliance.