BigHat Biosciences Logo

BigHat Biosciences

Senior Software Engineer

Posted 10 Days Ago
Be an Early Applicant
Hybrid
San Mateo, CA, USA
20K-215K Annually
Senior level
Hybrid
San Mateo, CA, USA
20K-215K Annually
Senior level
Lead end-to-end development and ownership of major areas of an internal cloud-based platform supporting antibody discovery. Translate lab workflows into reliable software, design system-level architecture, implement front-end and back-end features, improve testing and engineering practices, and collaborate with scientists and product owners to deliver validated production systems.
The summary above was generated by AI
The role: BigHat Biosciences is looking for a Senior Software Engineer to join our engineering team. This role is for experienced engineers ready to own a significant area of our platform as a subject-matter expert, lead epics end-to-end, and shape the architecture and engineering practices that support the design, build, and testing of therapeutic antibodies at scale. You will work closely with engineers, product partners, and laboratory scientists to build and evolve the internal software systems at the center of our science.
This role is leveled as Senior Software Engineer I. At this level, you operate as a subject-matter expert in your area, working with a high degree of independence and regularly leading epics. Candidates with prior experience in biotech, life sciences, or scientific software may be considered with fewer total years of software engineering experience.
*At BigHat we believe in titles that commensurate with skill set, relative organizational impact, and value contribution; more experienced candidates are encouraged to apply, with the understanding that responsibilities and title would adjust as appropriate.

Key Responsibilities
  • Lead projects end-to-end, from PRD through implementation, testing, release, and validation against the customer success metric.
  • Own one or more major areas of BigHat's internally developed, cloud-based platform as a subject-matter expert, and serve as a cross-team and cross-org resource for those areas.
  • Take on net-new, 0-to-1 work from specification, designing interactions between features and the infrastructure that supports them, and producing novel solutions where existing patterns fall short.
  • Collaborate with, and increasingly manage, the relationship with scientists and product owners to translate real-world lab workflows into reliable software, and to iterate on success metrics.
  • Operate and run engineering processes: PRD reviews, stand-ups, PR approvals, and other team ceremonies.
  • Own the quality and outcomes of your work and your epics, including debugging, test failures, and production issues, anticipating next steps and owning the trajectory of major features.
  • Drive technical depth across the codebase, infrastructure, and systems, and actively improve the design and architectural principles the team works within.
  • Design and build high-quality software across front-end (UI/UX) and back-end systems, with system-level expertise in the databases, AWS services, runtimes, and processes that underpin them.
  • Lead and review technical designs and PRDs; contribute architectural direction and surface risks and tradeoffs early.
  • Write, maintain, and raise the bar on automated testing to ensure correctness, reliability, and maintainability.
  • Run code reviews as a routine approver, providing thoughtful, high-leverage feedback that develops other engineers.
  • Diagnose and resolve complex issues across production and development environments, including across system and environment boundaries.
  • Improve internal engineering practices, documentation, tooling, and architecture; help set and transmit appropriate urgency in partnership with engineering leaders.

Skills Knowledge and Expertise
About You
  • You have a track record of owning features and epics end to end in a production software environment.
  • You are an SME in at least one significant technical area and are reaching to master new ones.
  • You work highly independently and initiate the collaborations needed to deliver work that bridges many parts of the codebase.
  • You balance development, architecture, and process effectively, and help the team prioritize where effort yields the most impact.
  • You communicate clearly about progress, risks, and tradeoffs, and your own outcomes, following issues through to resolution and validating that you've met the customer's needs.
  • You are motivated by building software that supports real users doing complex, high-stakes scientific work.
  • You adapt well as priorities and focus areas shift, and you collaborate effectively with engineers inside and outside your direct team.
Experience
  • 7+ years of professional software engineering experience building and owning production systems, including demonstrated end-to-end ownership of features or epics, OR
  • 5+ years of professional software engineering experience with prior experience in biotech, life sciences, laboratory environments, or scientific software, where domain knowledge meaningfully accelerates impact.
Relevant Tech / Skills
Depth in several of the following, with the ability to make and improve system- and architecture-level decisions:
  • TypeScript, React, Material-UI, Vega
  • Python 3, SQLAlchemy
  • RESTful API design
  • AWS (CDK, Lambda, Step Functions, ECS/Batch, Fargate, API Gateway, Athena)
  • Relational databases (e.g., PostgreSQL), including schema and query design
  • Pandas
  • PyTorch or other ML frameworks (nice to have, not required)

Total Rewards
The salary estimated for this position is $198,00 - $215,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.
What BigHat Offers:
  • Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
  • Dental, and vision coverage through Guardian
  • Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
  • 401(k) with company match 
  • DTO, two weeks of company-wide shutdown, and 12 company holidays
  • Paid parental leave

About
BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. BigHat integrates a wet lab for high-speed characterization with machine learning technologies to guide the search for better antibodies. We apply these design capabilities to develop new generations of safer and more effective treatments for patients suffering from today’s most challenging diseases.BigHat is a Series B biotech outside San Francisco with a team-oriented, inclusive, and family-friendly culture. Our broad pipeline of wholly-owned and partnered therapeutic programs span many disparate indications with high unmet need, such as cancer, inflammation, and infectious disease. BigHat has raised >$100M from top investors, including Section 32, a16z, and 8VC.
HQ

BigHat Biosciences San Mateo, California, USA Office

1900 Alameda de Las Pulgas, San Mateo, CA, United States, 94403

Similar Jobs

2 Days Ago
Remote or Hybrid
Santa Clara, CA, USA
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, deploy, and operate high-scale, multi-tenant Kubernetes services. Write clean, testable code, collaborate with product owners, integrate AI tools, mentor engineers, and improve performance, observability, and data processing pipelines.
Top Skills: Build ToolsClaudecodeDebuggerDevinFlinkGoIdeJavaKafkaKubernetesMicroservicesMulti-Tenant ArchitectureObservability StackProfilersServicenowSource Control (Git)Unix
2 Days Ago
Remote or Hybrid
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and maintain high-scale, multi-tenant microservices on Kubernetes. Design, implement, test, and deploy performant services, integrate AI where applicable, collaborate with product owners, ensure code quality and observability, and mentor other engineers.
Top Skills: Build ToolsClaudecodeDebuggerDevinFlinkGoIdeJavaKafkaKubernetesProfilersServicenowSource ControlUnix
3 Days Ago
Easy Apply
In-Office
Easy Apply
140K-170K Annually
Senior level
140K-170K Annually
Senior level
Machine Learning • Security • Software • Analytics • Defense
Design, implement, test, and deploy interactive UX and data-visualization front-end applications for defense programs. Build high-performance components, optimize responsiveness across devices and browsers, integrate geolocation/mapping, containerize deployments (Docker/Kubernetes), collaborate with stakeholders, and produce software documentation and user training materials.
Top Skills: .NetCSSDjangoDockerFlaskGitGoogle Maps ApiHTML5JavaJavaScriptKubernetesLessNode.jsOpenstreetmapPythonReactReduxSassVue

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account