Software Engineer L3
Twilio
πRemote - India
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Job highlights
Summary
Join Twilio's Data Platform team in Bangalore, India as a Software Engineer (L3). This crucial role involves building a scalable and reliable data platform, enabling users to extract valuable insights from large datasets. You will design, develop, and deploy features in AWS, ensuring service reliability and contributing to key strategic decisions. Collaboration with experienced engineers and other teams is essential. The position requires strong Java and Python skills, experience with databases and cloud platforms, and Agile methodologies. Twilio offers competitive pay and benefits, including generous time off and parental leave.
Requirements
- 5+ 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
- Extensive hands-on experience with SQL/NoSQL databases, including schema design, query optimization, and database scaling
- Ability to troubleshoot and fine-tune database performance, ensuring data consistency and efficiency across cloud environments
- 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
Responsibilities
- Design, develop, test, and deploy features and services in AWS cloud environments
- Ensure the reliability of your services, including responding to incidents, participating in on-call rotations, and conducting post-incident RCAs
- Meet the Definition of Done for all software you build, while continuously improving and reducing technical debt
- Leverage database expertise to design efficient data models, optimize queries, and manage database scaling in cloud environments
- Write and maintain automated unit and integration tests within a continuous integration and delivery (CI/CD) environment
- Manage tasks and collaborate effectively using GitHub, Jira, and the teamβs build and deploy systems
- Actively collaborate with Product and other teams to influence and improve the service or platform
- Participate in design discussions, code reviews, backlog grooming, and Agile ceremonies, ensuring sprint commitments are met
- Troubleshoot and resolve issues independently or with your team in your domain
- Troubleshoot and optimize database performance to ensure seamless application functionality
- Take responsibility for documenting the projects and processes you work on
- Quickly acquire new technical skills and adapt to the fast-paced, disruptive industry landscape
- Troubleshoot and debug to ensure smooth application performance
Preferred Qualifications
- Experience with observability tools (e.g., Prometheus, Grafana, Datadog) for monitoring microservices and distributed systems
- Familiarity with DevOps principles and infrastructure as code (IaC) using tools like Terraform or CloudFormation
- Knowledge of API gateway technologies and message brokers (e.g., Kafka) for building scalable, event-driven systems
- Experience with performance tuning and optimizing distributed systems for scalability and fault tolerance
- Familiarity with database migration strategies and tools for seamless transitions between database versions or environments
Benefits
- Competitive pay
- Generous time-off
- Ample parental and wellness leave
- Healthcare
- A retirement savings program
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