Software Engineer (L2)

Join Twilios Data Platform team as a Software Engineer (L2) to build a scalable, reliable, and efficient data platform. You will contribute to creating the data backbone that supports key strategic decisions for the company and its customers.

• 1Design, develop, test, and deploy features and services in AWS cloud environments
• 2Ensure the reliability of your services, including responding to incidents, participating in on-call rotations, and conducting post-incident RCAs
• 3Meet the Definition of Done for all software you build, while continuously improving and reducing technical debt
• 4Write and maintain automated unit and integration tests within a continuous integration and delivery (CI/CD) environment
• 5Manage tasks and collaborate effectively using GitHub, Jira, and the teams build and deploy systems
• 6Actively collaborate with Product and other teams to influence and improve the service or platform
• 7Participate in design discussions, code reviews, backlog grooming, and Agile ceremonies, ensuring sprint commitments are met
• 8Troubleshoot and resolve issues independently or with your team in your domain
• 9Take responsibility for documenting the projects and processes you work on
• 10Quickly acquire new technical skills and adapt to the fast-paced, disruptive industry landscape
• 11Troubleshoot and debug to ensure smooth application performance

• 2-4 years of proven experience as a Java Developer, with an in-depth knowledge of the Java programming language and its ecosystem
• Knowledge of Python programming, with the ability to write clean, maintainable, and efficient code, and utilize its libraries and frameworks effectively
• Strong experience building resilient, high-throughput microservices and distributed systems, with a deep understanding of the microservices architecture
• Hands-on experience with SQL/NoSQL databases, and caching mechanisms (e.g., Redis, Memcached)
• Proficiency in AWS, GCP, or other public cloud platforms, with knowledge of cloud-native design patterns and services
• Containerization expertise with Docker and Kubernetes, including orchestration and scaling of services
• Familiarity with modern automated testing frameworks and CI/CD pipelines, ensuring high-quality and seamless software delivery
• A strong advocate for best engineering practices, including test-driven development (TDD), security-first approaches, and automation throughout the development lifecycle
• Ability to analyze and troubleshoot complex production issues, with a proactive approach to problem-solving
• Experience with Agile methodologies such as Scrum and a deep understanding of iterative development and continuous deployment strategies
• Excellent communication skills, with the ability to convey technical concepts clearly in both written and verbal formats