Senior Software Engineer - SaaS Connectors

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. 

This is a full-time position based out of our Novi Sad office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java, SQL, Kubernetes, Docker, AWS, GCP, BuildKite, Github Copilot, Claude Code, Codex.

What You’ll Do

• Work on core features of the product
• Write connectors to integrate with source systems
• Contribute to feature enhancements and bug fixes
• Write well-structured Java code following programming best practices
• Independently design software architectures and subsystems to satisfy project requirements
• Lead technical initiatives across the team and coordinate development efforts among multiple engineers
• Review and approve technical designs and critical code changes
• Improve engineering quality standards through coaching and mentorship
• Drive innovation by evaluating new technologies and engineering approaches, including AI-assisted development workflows
• Use AI-powered development tools such as Github Copilot, Claude Code, and Codex to accelerate development, testing, investigations, and incident resolution
• Participate in team on-call duty

Skills We’re Looking For

• Strong coding, technical, and problem-solving skills with 6+ years of professional experience writing Java-based applications in production environments
• Experience designing and operating reliable distributed systems, with an emphasis on high-volume data management platforms operating under strict SLAs
• Expertise working with cloud platforms, cloud-based APIs, and databases
• Proven ability to design and own team-level subsystems and drive architectural initiatives
• Experience leading complex technical projects across multiple engineers
• Strong code review, debugging, and troubleshooting skills
• Experience using AI-assisted engineering tools such as Github Copilot and coding agents like Claude Code or Codex in software development workflows
• Strong collaboration and communication skills
• Ability to mentor engineers and improve code quality standards across the team

Bonus Skills​

• Experience building large-scale data pipeline or ETL systems
• Experience working with Kubernetes-based distributed infrastructure
• Experience improving developer productivity through AI-assisted development practices
• Familiarity with conversational AI systems such as ChatGPT, Claude, or similar tools for engineering documentation, investigation, and design workflows

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