About
Highly accomplished Senior Software Engineer with over 8 years of experience leading the design and implementation of scalable, high-performance distributed systems. Expert in Java, Python, and cloud-native architectures (AWS), consistently delivering robust backend solutions that enhance system throughput, reduce latency, and ensure 99.9% uptime for critical applications. Seeking to leverage deep technical expertise and leadership in a challenging role to drive innovation and build next-generation software solutions.
Work
City, State, US
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Summary
Led the end-to-end development of critical backend services and microservices architectures, significantly enhancing system performance and reliability.
Highlights
Architected and implemented a new microservices architecture utilizing Spring Boot and Apache Kafka, resulting in a 30% improvement in system throughput and a 15% reduction in latency.
Developed high-volume data processing pipelines, managing over 1 million transactions daily with a consistent 99.9% uptime for mission-critical applications.
Mentored and guided a team of 3 junior engineers on best practices for clean code, unit testing, and scalable system design, significantly elevating team productivity and code quality.
Optimized complex database queries and integrated Redis caching mechanisms, leading to a 20% reduction in database load and improved application responsiveness.
Collaborated cross-functionally with Product and DevOps teams to orchestrate successful deployments on Kubernetes, streamlining CI/CD processes and accelerating release cycles.
City, State, US
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Summary
Designed and implemented robust RESTful APIs and contributed to cloud migration efforts, ensuring high availability and cost efficiency.
Highlights
Designed and implemented highly scalable RESTful APIs for a critical customer-facing platform using Java and Spring, supporting a growing user base.
Contributed significantly to the successful migration of monolithic applications to a cloud-native environment on AWS, achieving a 10% reduction in infrastructure costs.
Developed comprehensive automated testing frameworks, increasing test coverage by 25% and reducing the reported bug count by 18% prior to production releases.
Participated actively in on-call rotations, promptly diagnosing and resolving critical production issues to maintain system reliability and minimize downtime.
City, State, US
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Summary
Assisted in the development of new features for internal tools and contributed to database management and code quality initiatives.
Highlights
Assisted in the development and enhancement of new features for an internal business tool, utilizing Python and Django to improve operational efficiency.
Wrote and optimized SQL queries, and managed database schemas (PostgreSQL) to support application data requirements.
Actively participated in code reviews, providing constructive feedback to ensure adherence to coding standards and improve overall code quality.
Contributed to the creation and maintenance of technical documentation, improving knowledge transfer within the development team.
Languages
English
Skills
Programming Languages
Java, Python, Go, JavaScript.
Frameworks & Libraries
Spring Boot, Spring, Django, React, Node.js.
Databases & Caching
PostgreSQL, MySQL, DynamoDB, Redis.
Cloud Platforms
AWS (EC2, S3, Lambda, RDS, SQS, SNS, DynamoDB, CloudWatch).
Tools & Technologies
Apache Kafka, Kubernetes, Docker, Jenkins, Git, Jira, Microservices, RESTful APIs, GraphQL, CI/CD, Agile, Scrum, Distributed Systems, System Design, Problem Solving.