Staff Software Engineer, Data

We are looking for a Staff Engineer, Data to join our growing Engineering Team. You will work with key technical team members across the organization to ensure that BenchSci's technical infrastructure and codebase will support long-term growth. You will provide technical leadership across several functional areas within the team, lead complex projects, participate in roadmap and project planning, and contribute to BenchSci's data engineering and architecture initiatives. The Staff Engineer will help foster the development of other individual contributors, while also playing an important role in helping us scale as we continue to improve scientific discovery.

You Will:

• Collaborate with multiple teams working on key customer features and our own internal development projects
• Contribute to setting technical and architectural direction for our Data Engineering teams with a focus on expanding the scope of our products and our ability to make life scientists more effective
• Drive the architecture of BenchSci to help us handle data more securely
• Decouple work done by teams to allow for more independent work and smaller feature releases
• Be involved in all aspects of software development, working to create and maintain the most reliable, secure, performant, and high throughput service for our customers by using the latest cloud technology (this can range from setting high-level technical direction down to implementation)
• Translate the product vision into tangible technical solutions for execution by engineering teams
• Be an inspiring mentor to other engineers
• Be an advocate for us and its engineering team through several channels

You Have:

• 8+ years of professional development experience, with 2+ years at the Staff level
• Expertise in data management practices, including approaches to capturing provenance, versioning, and disaster recovery
• Experience working with secure data, including compliance with regulations like HIPAA and GDPR
• Expertise with data processing engines such as Apache Beam and Spark
• Experience working with SaaS products in a fast-paced Agile environment
• The ability to lead the engineering team towards the decisions they make while minimizing friction
• The ability to translate business concerns into technical implementations
• Experience with mentoring technical teams
• Experience with big data with integrated ML inference transformations
• The ability to communicate trade-offs in approaches to security, speed to ship, and performance
• Domain expertise in either machine learning, distributed systems, or cloud infrastructure
• The ability to provide constructive feedback to other individual contributors while showing a sense of empathy, tact, thoughtfulness, and respect

Nice to have:

• Successful delivery of at least one major project in a domain space that is pertinent to BenchSci. Relevant domain areas may include, but are not limited to: machine learning, information retrieval, or distributed systems
• You have built Generative AI-focused solutions (for example, RAG-based applications or LLM-based extraction pipelines).