Senior Software Engineer

Fivetran Fivetran · Data AI · Bangalore, India · Engineering Department

Fivetran is seeking a Senior Software Engineer to develop enterprise-grade capabilities and features for their data integration system. The role focuses on performance engineering, data security, and cluster orchestration within a distributed data pipeline environment. The engineer will design, implement, and improve scalable distributed data pipelines, collaborate with stakeholders, and mentor junior developers.

What you'd actually do

  1. Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
  2. Develop, maintain, and test code
  3. Conduct design and code reviews
  4. Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
  5. Understand and fix challenges related to performance and scalability.

Skills

Required

  • 5+ years of experience in the software industry
  • experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices
  • Experience working with distributed systems and cloud security concepts
  • Demonstrated ability to write well-structured and performant code
  • Ability to lead software and infrastructure design to satisfy project requirements
  • Can identify design flaws in existing systems and come up with improvements
  • Experience in code reviews, design, troubleshooting and testing
  • Experience programming in an object oriented / systems language such as Java, C++, C# etc
  • Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
  • Experience interacting with continuous integration tools like Buidkite.

Nice to have

  • Knowledge of observability tools like New Relic/Grafana is a plus
  • Knowledge of Data Engineering is a plus
  • Experience in data processing (ETL, ELT) and/or cloud-based platforms.

What the JD emphasized

  • enterprise grade software
  • performance engineering
  • data security
  • cluster orchestration
  • highly scalable distributed data pipelines