Lab Automation & Software Engineer - Full-Stack

Breakout Ventures; San Francisco (CA); Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Daily catered lunches

Boba Thursday

Stock options

401(k) with employer match

Fully covered health/dental/vision for

Job summary

NOETIK is seeking a software engineer to design and build production-grade software that supports lab operations and data workflows in a fast-moving, interdisciplinary environment.

You will collaborate with scientists and data scientists to automate data movement, build internal tools with TypeScript, React, and Python, and push for reliability and scalability in every workflow. The role offers a hybrid setup in South San Francisco with strong focus on automation and modern AI tooling.

Qualifications

• Strong software engineering fundamentals and experience building production software that is used and relied on by others.
• Experience building full-stack applications, backend services, workflow systems, or operational tooling.
• Proficiency in one or more relevant programming languages, particularly TypeScript and Python, and comfort working across different parts of a software system.
• Experience working with databases, APIs, and integrations between multiple software systems.
• Strong problem-solving and debugging skills, including the ability to investigate issues spanning applications, infrastructure, external systems, and real-world operational workflows.
• A proactive mindset toward automation, with the ability to recognize repetitive or fragile processes and turn them into reliable software systems.
• Comfort working directly with non-engineering users to understand how they work, translate operational needs into software, and iterate quickly based on feedback.
• Comfort using AI coding tools and agents as a core part of the software development process while maintaining a high bar for correctness, maintainability, and understanding of the systems being built.
• Demonstrated ability to learn quickly and operate effectively in a fast-moving, interdisciplinary environment.
• A collaborative, low-ego approach, with a focus on solving problems as a team and finding the best solution rather than being right.

Responsibilities

• Design, build, and evolve software systems that support the day-to-day operation of Noetik’s laboratory and the workflows that generate our core scientific datasets.
• Build full-stack applications and services for workflow orchestration, sample and metadata tracking, quality control, observability, and operational visibility across laboratory processes.
• Work closely with laboratory scientists and operators to understand existing workflows, identify bottlenecks and repetitive manual processes, and proactively build software that makes those workflows more efficient, reliable, and scalable.
• Integrate with laboratory instruments, vendor software, APIs, and data systems to automate the movement of data and metadata through the lab.
• Build intuitive internal tools using technologies such as TypeScript, React, and Python that allow laboratory teams to manage, monitor, and troubleshoot their workflows.
• Own software supporting critical lab operations and be prepared to investigate and resolve issues when software or integrations block experimental workflows.
• Collaborate with other engineers and data scientists to design and implement data processing pipelines downstream of laboratory data generation, including metadata capture, image processing, quality control, and more.
• Use modern AI development tools and agents throughout the engineering workflow to accelerate implementation, debugging, testing, exploration, and maintenance.

Skills

Software engineering

Full-stack apps

TypeScript

Python

Databases & APIs

Problem solving

Automation

User collaboration

AI coding tools

Fast learner

Collaborative mindset

Tools

React

TypeScript

Python

PostgreSQL

AWS

Vercel

Job description

NOETIK is seeking a software engineer to design and build production-grade software that supports lab operations and data workflows in a fast-moving, interdisciplinary environment.

You will collaborate with scientists and data scientists to automate data movement, build internal tools with TypeScript, React, and Python, and push for reliability and scalability in every workflow. The role offers a hybrid setup in South San Francisco with strong focus on automation and modern AI tooling.