Staff Software Engineer / Technical Lead
Hands-on technical leader providing architecture guidance, mentoring engineers, and contributing to infrastructure, backend, APIs, and ML systems at an early-stage AI drug discovery startup.
What You'll Do
- Partner with the CTO on architecture, technical planning, and major engineering initiatives
- Provide technical guidance across a team of 7-8 engineers
- Lead design reviews and architectural discussions
- Help engineers navigate complex technical challenges
- Contribute directly to the codebase across infrastructure, backend services, APIs, and product development
- Review code and provide feedback on implementation approaches
- Identify opportunities to improve reliability, scalability, performance, and developer productivity
- Support technical decision-making across new products and platform capabilities
- Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions
- Help establish engineering standards as the team continues to grow
Week in the Life
- Collaborate with the CTO on technical priorities and architectural decisions
- Review designs and provide guidance on implementation approaches
- Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications
- Participate in code reviews and technical discussions
- Help unblock engineers working through difficult technical problems
- Work directly with customers to understand requirements and gather feedback
- Balance hands-on engineering work with technical leadership responsibilities
Ideal Qualifications
- 7+ years of software engineering experience
- Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead
- Strong software architecture and distributed systems experience
- Experience building and operating production infrastructure and cloud services
- AWS experience (EC2, S3, DynamoDB, Docker, etc.)
- Ability to mentor engineers and provide technical guidance across multiple projects
- Strong communication skills and sound engineering judgment
- Comfort operating in an early-stage startup environment
- Willingness to work onsite in San Francisco
Technology
- Our technology sits at the intersection of DevOps, MLOps, and Computational Biology
- We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments
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