Principal Software EngineerWe're working with a mission-driven SaaS company building a real-time, AI-powered platform that replaces legacy email workflows used by public safety agencies in the US who are looking for a Principal Python Engineer.The Role- Take technical ownership of backend systems and help shape engineering culture across the organization.- This is a hands-on role with organizational scope, suitable for someone who wants to build and scale real-world systems while investing in the people around them.- Set architectural direction, mentor engineers at all levels, and collaborate with cross-functional leadership to move fast without breaking things.Responsibilities- Architect & Build: Own the end-to-end design and development of scalable, production-grade backend services and APIs.- Set the Standard: Define and enforce engineering best practices, coding standards, and architectural patterns.- Lead & Mentor: Conduct code reviews, provide technical guidance, and foster a culture of craft and continuous improvement.- Own the Platform: Evolve infrastructure for reliability, performance, scalability, observability, fault tolerance, and security.- Collaborate Cross-Functionally: Partner with product, design, and executive leadership to translate business objectives into technical strategy.- Deploy & Operate (Bonus): Experience with CI/CD pipelines and cloud infrastructure is a plus, but not a core requirement.Qualifications- 10+ years of backend development experience, including senior, staff, or principal-level roles.- Deep expertise in backend systems design and distributed systems with a track record of owning complex production infrastructure.- Architect & Build: Lead development of scalable backend services using Python, FastAPI, PostgreSQL, and OpenSearch.- Proven experience designing and building backend APIs for SaaS products, including multi-tenancy, authentication, versioning, and developer experience.- Strong proficiency in SQL and experience designing for security, fault tolerance, and observability.- Experience setting technical direction at an organizational level, not just within a single team.- Strong communication skills and the ability to make technical trade-offs legible to non-technical stakeholders.- Prior startup or mission-critical environment experience strongly preferred.- Bonus: Hands-on experience with CI/CD pipelines and cloud infrastructure (e.g., AWS) at scale.Why join- If you’re looking to lead meaningful technical work on a platform used by real-world operators, we’d love to talk. 🚀

Machine Learning EngineerAbout the Organization- A global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture.- We build most of our systems from the ground up, and innovation is at the core of everything we do.- As a Machine Learning Engineer, you’ll play a critical role in shaping the future of AI at the firm—enabling research at scale, accelerating experimentation, and unlocking opportunities across the organization.The Role- A versatile ML Engineer to help build and optimize the core infrastructure that supports AI research.- Works across the stack—from data processing and training efficiency to low-level GPU programming and performance tooling.- Contributes to reliable, scalable, high-performance systems while enabling researchers to understand and improve their models.- Ideal for someone comfortable navigating complex systems, collaborating across domains, and bringing a strong engineering mindset.What You’ll Do- Design and implement high-performance data pipelines for processing large-scale datasets with emphasis on reliability and reproducibility- Apply state-of-the-art techniques to internal training runs to maximize hardware efficiency- Implement custom GPU kernels- Create observability and benchmarking tools to help researchers understand model and training performance- Build and maintain secure sandboxed execution environmentsWhat We’re Looking For- Experience with data pipeline development and ETL processes- Strong systems programming skills and performance optimization- Strong software engineering skills in Python- Experience writing and optimizing custom GPU kernels- Experience with observability, benchmarking, or performance-focused infrastructure at scale- Familiarity with AI/ML workloads- Comfortable working in ambiguous, fast-evolving environments and collaborating across disciplinesWhy Join Us- Join a global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture.- We build most of our systems from the ground up, and innovation is at the core of everything we do.- As a Machine Learning Engineer, you’ll play a critical role in shaping the future of AI at the firm—enabling research at scale, accelerating experimentation, and unlocking opportunities across the organization.