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Software Engineer with 4+ years in Node.js & AWS
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with 4+ years of experience in designing, developing, and deploying scalable, high-traffic enterprise applications. Specialized in building robust services, REST APIs, real-time features, and microservices using Node.js, along with strong expertise in AWS Serverless and CI/CD pipelines. Proven ability to prioritize critical tasks, collaborate across teams, and drive end-to-end development to consistently deliver high-quality solutions on time.
Sri Vasavi Engineering College
Bachelor of Technology · EEE
August 1, 2018 – August 1, 2021
Accenture
Custom Software Engineering Analyst
December 1, 2022 – Present
Hyderābād, Telangana, India
Accenture
Custom Software Engineering Associate
September 1, 2021 – December 1, 2022
Hyderābād, Telangana, India
Microsoft Azure Administrator Associate AZ-104
Microsoft
June 1, 2026 – Present
Microsoft Azure Fundamentals AZ-900
Microsoft
June 1, 2026 – Present
Microsoft Security, Compliance, and Identity Fundamentals SC-900
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Accenture, a large consulting firm, suggests adaptability to diverse project environments and client needs. The breadth of technologies used (Node.js, React, AWS, MongoDB, PostgreSQL, Redis, Splunk, HashiCorp Vault, Azure certifications) indicates a willingness to learn and apply new tools. The involvement in projects with significant impact (automating 4M+ policy records, supporting 1.5M-2M daily requests) aligns with a results-oriented culture. The recent engagement with AWS Bedrock Agent Core SDK also shows an interest in emerging technologies like Gen AI, which could be a good fit for innovative teams.
Soft Skills & Operational Fit
The candidate's resume highlights contributions to high-traffic enterprise applications and collaboration across teams, indicating a focus on operational reliability and teamwork. The descriptions of automating processes and streamlining workflows suggest a proactive approach to problem-solving and efficiency. The experience in documenting data mapping and error handling also points to an understanding of maintaining code quality and supporting team growth.