Full-Stack Staff Engineer

What We Offer

We offer a dynamic and innovative work environment where you can make a real impact. Join a team that is pushing the boundaries of what's possible in AI-powered research platforms.

Responsibilities

• Define and drive system architecture for services
• Contribute to and improve engineering standards, patterns, and best practices for distributed systems, observability, and reliability
• Architect and implement serverless and event-driven data processing pipelines for high-volume scientific data
• Guarantee the scalability, maintainability, and security of software solutions
• Provide technical guidance to Software Engineers, conduct code reviews, and raise the bar for design, code quality, and operational excellence
• Help shape user interfaces that are intuitive and accelerate scientific research
• Collaborate with other teams to build scientific solutions on top of a best-in-class scientific data engine

Requirements

• 12+ years experience in engineering, preferably in a SaaS environment
• Strong engineering background with Node.js, React, Java, Go, or C# (or similar object-oriented/backend languages)
• Proven experience designing and implementing distributed, event-driven systems and high-level web applications
• Experience implementing automated testing platforms, unit tests, and integration tests
• Professional experience with PostgreSQL and building/consuming RESTful APIs
• Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads
• Proficiency with CI/CD tools such as GitHub Actions and AWS CodePipeline
• Knowledge of Agile software development practices

Qualifications

• Strong engineering background with Node.js, React, Java, Go, or C# (or similar object-oriented/backend languages)
• Proven experience designing and implementing distributed, event-driven systems and high-level web applications
• Experience implementing automated testing platforms, unit tests, and integration tests
• Professional experience with PostgreSQL and building/consuming RESTful APIs
• Hands-on experience with AWS in production environments and a solid understanding of Kubernetes for orchestrating workloads
• Proficiency with CI/CD tools such as GitHub Actions and AWS CodePipeline
• Knowledge of Agile software development practices

Skills

• Setting technical direction, leading cross-team initiatives, and levelling up other engineers
• Background in complex data pipelines and scaling
• Message-based architectures (e.g., Kafka)
• Deployment technologies like Terraform
• Exposure to AWS and/or GCP or designing systems portable across multiple cloud providers
• Building Windows applications
• Building scalable distributed systems using Kubernetes and other cloud-native technologies
• Experience within Life Sciences or R&D data management

Pay

The salary range for this position is $150,000 - $200,000 annually, commensurate with experience.

Schedule

This is a full-time position with standard business hours.