2 months ago
Base Salary
$164k - $197k/yr
Responsibilities
- Design and implement features and performance improvements across discovery API, catalog, lineage, and run-history services.
- Develop, maintain, test, and optimize high-quality backend code and critical performance paths.
- Write and review technical designs, explain trade-offs, and provide constructive code-review feedback.
- Improve test coverage, refactor code, and reduce technical debt.
- Troubleshoot production issues and follow up with post-mortems and mitigation plans.
- Plan and execute feature-level work, contribute to sprint planning, and collaborate with product, QE, customer support, and engineering peers.
- Participate periodically in the on-call rotation and use AI tools to accelerate development and author or review SDLC artifacts.
Requirements
- 5+ years of software industry experience, including designing and building backend services and reusable components.
- Experience with distributed systems, cloud computing, code reviews, technical design, troubleshooting, and testing.
- Proficiency in a modern backend or systems language such as Python, Java, C++, or C#.
- Hands-on experience with AWS, GCP, or Azure and Docker or Kubernetes.
- Ability to independently lead feature-level software and design work and explain design trade-offs.
- Experience with continuous integration tooling such as BuildKite; Datadog or Grafana familiarity is a plus.
- Fluency with AI code assistants, coding agents, and conversational AI for software development and SDLC artifacts.
- Bonus experience with ETL or ELT, cloud data platforms, metadata or catalog systems, GraphQL APIs, high-throughput multi-tenant services, analytics engineering, or dbt.
Benefits
- Full-time, fully remote position.
- 100% employer-paid medical insurance, subject to country and worker-type variation.
- Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, inclusive parental leave, paid holidays, Global Week of Rest, and volunteer days off.
- RSU stock grants, professional development and training opportunities, virtual events, free food, and team-building activities.
- Monthly cell phone stipend and access to a mental health support platform for covered employees and dependents.
Tech Stack
Apache KafkaAWSAzureBuildkiteC#C++DatadogDockerGoogle Cloud PlatformGrafanaGraphQLJavaKubernetesPostgreSQLPythonRustSnowflake
Categories
About Fivetran
Fivetran builds a managed data integration platform that extracts data from hundreds of SaaS apps and databases and loads it into cloud data warehouses for analytics and AI teams. Sold as a subscription SaaS service, it provides prebuilt connectors, automated schema management, and ELT/replication to destinations like Snowflake, BigQuery, Databricks, and Redshift. Founded in 2012 and headquartered in Oakland, it serves customers such as Autodesk, Condé Nast, JetBlue, and Morgan Stanley.