Note: The job is a remote job and is open to candidates in USA. Dotmatics is a company dedicated to accelerating scientific innovation through its comprehensive digital science platform. They are seeking a Staff Engineer to drive improvements in reliability, performance, and operability of their AI-Powered research platform, Luma, while mentoring a world-class engineering team.

Responsibilities

• Define and drive system architecture for services within a Node.js/TypeScript ecosystem
• 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

Skills

• 12+ years experience in engineering preferably in a SaaS environment
• Degree in Computer Science, Software Engineering, or equivalent
• Strong engineering background with Node.js and React
• 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
• 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

Benefits

• Medical, Dental, Vision, Insurance
• Health Spending Accounts
• Wellness Benefits (Mental Health Apps and Fitness Perks)
• Company-paid Life and Disability Insurance
• 401k Retirement Plan (with 4% company match; immediate vesting)
• Flexible Time off Plan (for US exempt employees)

Company Overview