3 months ago
Canada (city not specified)Senior
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 paths.
- Write, review, and communicate technical designs and design trade-offs.
- Review pull requests and provide constructive feedback to improve engineering quality.
- Improve test coverage and reduce technical debt through refactoring.
- Troubleshoot production issues and follow up with post-mortems and mitigation plans.
- Structure feature tasks, execute project plans, and contribute to sprint and feature planning.
- Collaborate with product managers, QE, customer support, and engineering peers to deliver scalable, reliable products.
- Participate periodically in the on-call rotation and incorporate security considerations into development.
- Use AI tooling to accelerate development and create or review technical and SDLC artifacts.
Requirements
- At least 5 years of software industry experience, including designing and building backend services and reusable components.
- Experience with distributed systems and cloud computing concepts.
- Ability to write well-structured, performant, well-tested code and independently lead feature-level software and design work.
- Experience identifying design flaws, proposing system improvements, conducting code reviews, 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 containerization using Docker and Kubernetes.
- Experience with continuous integration tooling such as BuildKite; familiarity with Datadog or Grafana is a plus.
- Fluency with AI code assistants, coding agents, and conversational AI for code development and SDLC artifacts.
- Bonus experience with ETL or ELT, cloud-based data platforms, metadata, catalog, lineage, discovery or search systems, GraphQL APIs, high-throughput multi-tenant data services, analytics engineering, or the dbt ecosystem.
Benefits
- 100% employer-paid medical insurance, subject to country and worker type.
- Generous paid time off, paid sick time, inclusive parental leave, holidays, a Global Week of Rest, and volunteer days off.
- RSU stock grants.
- Professional development and training opportunities.
- Company virtual happy hours, free food, and team-building activities.
- Monthly cell phone stipend.
- Mental health support platform with therapy, coaching, and self-guided mindfulness resources for employees and dependents.
Tech Stack
Apache KafkaAWSAzureBuildkiteC#C++DatadogdbtDockerGoogle 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.