[Hiring] Staff Software Engineer, Data Lakes @Fivetran

Role Description

We’re seeking a Staff Software Engineer to contribute to the technical architecture, design, and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany.

Technologies You’ll Use

• Java
• Postgres
• Temporal
• gRPC
• AWS
• GCP
• Azure
• Istio
• Kubernetes
• Grafana
• Iceberg
• Polaris
• Delta Lake
• Parquet
• DuckDB

What You’ll Do

• Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands.
• Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team and our SRE teams.
• Drive significant performance, latency, and availability improvements for our data lake services.
• Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance.
• Investigate and resolve fault-tolerance and high availability issues as well as performance and scale challenges both inside and across service boundaries.
• Embrace Fivetran innovations with open-source standards and toolsets.
• Set technical directions and influence cross-functional teams.

Qualifications

• 5+ years of hands-on experience maintaining and operating high-performance containerized applications that span multiple services.
• Deep understanding of cloud infrastructure, deployment, service orchestration, software optimizations and performance engineering of highly distributed services.
• Proven track record of leading and delivering large and complicated projects.
• Strong development skills in Java.
• Experience running and debugging Kubernetes containerized services.
• Solid experience with public clouds (AWS, Azure, GCP).
• Growth mindset and excitement about breaking the status quo by seeking innovative solutions.
• Excellent team player who is consistent in making everyone around you better.

Bonus Skills

• Hands-on experience with high-performance relational data management systems.
• Demonstrated knowledge of columnar storage formats.
• Strongly prefer an MS in Computer Science.

Benefits

• 100% employer-paid medical insurance
• Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
• RSU stock grants
• Professional development and training opportunities
• Company virtual happy hours, free food, and fun team-building activities
• Monthly cell phone stipend
• Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.