Amazon Software Engineer Resume Sample
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Cindy J. Smith
Amazon Software Engineer
Innovative Software Engineer with 6+ years of experience designing, developing, and deploying scalable web and cloud applications. Proficient in Java, Python, and AWS, with strong expertise in microservices, distributed systems, and performance optimization. Adept at collaborating in agile teams, delivering high-quality software solutions, and driving efficiency through automation.
Experience
- Engineered cloud-based microservices on Google Cloud Platform, enhancing API performance and cutting response times by nearly a third.
- Created and maintained CI/CD pipelines with Jenkins and Kubernetes, significantly decreasing deployment failures.
- Partnered with team members to transition legacy systems to a serverless AWS Lambda infrastructure.
- Developed robust data processing workflows using Python and BigQuery, managing high-volume transaction data efficiently.
- Applied advanced security protocols to ensure GDPR compliance and adherence to organizational security policies.
- Developed features for Microsoft Azure web services, increasing system reliability by 25%.
- Integrated RESTful APIs with frontend applications using React and TypeScript, enhancing user experience.
- Optimized SQL and NoSQL database queries, reducing average response time by 20%.
- Participated in code reviews and mentorship programs, guiding 4 junior developers.
- Implemented CI/CD pipelines and automated testing frameworks to ensure rapid and stable releases.
- Assisted in the development of internal tools for content moderation and analytics.
- Improved backend system performance by profiling Java applications and refactoring critical code paths.
- Collaborated in an agile team environment to deliver new features every sprint.
- Developed unit and integration tests to maintain code quality and reduce bugs by 15%.
- Contributed to the adoption of containerization using Docker for internal applications.
Education
Projects
Built a scalable chat app using Node.js, WebSocket, and MongoDB, supporting 50k+ concurrent users.
Developed a machine learning-based recommendation system in Python, increasing click-through rates by 18%.
CA 94538
Skills
Git, Jenkins, JIRA, Redis, Elasticsearch, REST APIs
MySQL, PostgreSQL, MongoDB, DynamoDB
AWS (Lambda, EC2, S3), Docker, Kubernetes, CI/CD
Spring Boot, Node.js, React, Angular
Java, Python, C++, JavaScript, TypeScript