Principal Software Engineer
Staff/Principal Software Engineer
About the Company
A well-funded, venture-backed technology company is building advanced AI-powered platforms that help researchers and domain experts model, analyze, and interact with complex scientific data. The organization sits at the intersection of artificial intelligence, large-scale data systems, and scientific computing, developing next-generation tools that accelerate research and innovation.
The Role
We're seeking a Staff or Principal Software Engineer to help build the core platform powering a suite of AI-driven applications. This is a senior individual contributor role focused on designing scalable systems, building production-grade infrastructure, and partnering closely with research, product, and engineering teams to bring cutting-edge technology into real-world use.
Responsibilities
- Lead the development of scalable backend services, APIs, and platform infrastructure.
- Design robust system architectures that connect user applications, business logic, large-scale datasets, and AI services.
- Build and optimize distributed systems that support complex workflows, data processing, orchestration, and computational workloads.
- Improve system reliability, scalability, and performance through thoughtful architecture and infrastructure design.
- Partner with research and machine learning teams to productionize advanced AI capabilities.
- Collaborate across engineering, infrastructure, product, and research functions to deliver intuitive, high-impact software products.
- Drive technical excellence through code quality, architectural best practices, and mentorship.
Qualifications
- 8+ years of software engineering experience with a track record of operating at a Staff or Principal level.
- Strong experience building production web services, APIs, and distributed systems.
- Expertise in software architecture, system design, and scalable backend development.
- Hands-on experience integrating machine learning, AI, or large-scale data processing systems into production environments.
- Proven ability to solve complex and ambiguous technical challenges.
- Strong communication skills and experience collaborating with cross-functional stakeholders.
Preferred Experience
- Experience working in highly technical, research-driven, or data-intensive environments.
- Background in scientific computing, simulation platforms, analytics systems, healthcare technology, life sciences, or related industries.
- Experience building workflow orchestration, experimentation, or large-scale data platforms.
- Familiarity with developer platforms, internal tooling, or infrastructure that supports AI and ML product development.
What You'll Work On
- Large-scale AI applications
- Distributed backend infrastructure
- Data-intensive platform development
- Research and machine learning enablement
- Next-generation software products at the intersection of AI and advanced computing
This opportunity is ideal for engineers who enjoy building complex systems from the ground up, working alongside highly technical teams, and solving challenging problems in a fast-growing, innovation-focused environment.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
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