Netflix Software Engineer Resume Sample

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Maria W. Brook

Netflix Software Engineer

Innovative and performance-driven Software Engineer with over 5 years of experience designing and developing scalable, data-intensive, and user-focused solutions. Proven track record of contributing to high-impact projects across microservices, distributed systems, and real-time data platforms. Passionate about building resilient, customer-first applications in a collaborative and fast-paced environment like Netflix.

Experience

Senior Software Engineer

Netflix, Los Gatos, CA

June 2021 – Present

Designed and implemented scalable microservices using Java and Spring Boot that support millions of daily streaming requests.
Developed and maintained the Netflix content recommendation system using Kafka and Spark, improving personalized suggestions by 18%.
Led the migration of monolithic components to cloud-native services on AWS, reducing infrastructure costs by 20%.
Collaborated with the security team to integrate OAuth 2.0 for user authentication, enhancing platform security.
Optimized streaming data pipelines with Apache Flink, decreasing data processing latency by 30%.
Automated deployment processes using Spinnaker and Kubernetes, accelerating release cycles by 50%.
Mentored new engineers and conducted code reviews to maintain high-quality standards.
Participated in cross-team design sessions to build new user features aligned with business goals.
Monitored application performance using Prometheus and Grafana dashboards to ensure SLA compliance.

Software Engineer

Google, Mountain View, CA

August 2018 – May 2021

Developed backend services for Google Cloud Platform with a focus on high availability and fault tolerance.
Implemented RESTful APIs in Go and Python to support Google Drive’s file synchronization features.
Collaborated on migrating legacy systems to Kubernetes clusters, improving scalability and maintainability.
Built automated testing frameworks that reduced bug rates by 25% in production.
Designed data ingestion pipelines using Apache Beam, processing petabytes of data daily.
Worked with the SRE team to set up monitoring and alerting systems using Stackdriver.
Improved system security by integrating Google’s internal IAM policies and auditing tools.
Optimized SQL and NoSQL database queries to reduce latency by 15%.
Supported global rollout of features with zero downtime through canary deployments.

Software Engineer

Amazon, Seattle, WA

July 2016 – July 2018

Built scalable microservices for Amazon Prime Video’s content delivery platform using Java and AWS Lambda.
Implemented event-driven architecture using Amazon SNS and SQS to handle millions of user events daily.
Developed monitoring dashboards with CloudWatch to track system health and identify bottlenecks.
Collaborated with front-end teams to integrate APIs supporting new user interface features.
Improved data storage efficiency by designing optimized DynamoDB schemas.
Participated in on-call rotations and incident response to quickly resolve production issues.
Automated infrastructure provisioning using CloudFormation templates.
Reduced page load times by optimizing backend endpoints and caching strategies.
Conducted load testing and performance tuning for critical services.
Mentored interns and new hires to improve onboarding and knowledge transfer.