This is a fully remote opportunity. As a Staff Software Engineer, you will play a key role in designing and building scalable, high-performance applications. You will collaborate with cross-functional teams to develop secure and reliable solutions, improve system architecture, and enhance automation processes.

In Short

Evolve a rapidly growing predictive analytics application into an enterprise-grade solution by designing for high availability/uptime, scalability, and maintainability.
Develop our internal and external APIs to enhance security measures and facilitate data accessibility.
Evangelize and implement best practices regarding automated testing and streamlining deployments.
Provide coaching, mentoring, and technical leadership to peer engineers.
Build alignment with product and business stakeholders to develop integrated product roadmaps.
Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines.

Requirements

7+ years of professional software engineering experience.
Proven ability to design, implement, and maintain resilient, high availability, highly scalable enterprise services/applications.
Ability to work cross-functionally with product management or other stakeholders to translate business requirements into technical requirements.
Experience with Python (or similar scripting language), SQL, Bash Scripting, and Git; understanding of containerization (Docker, Kubernetes) is a bonus.
Experience with CI/CD, SQL databases, RESTful API design, service-oriented architectures, and automated testing.
Experience or interest in working in an Agile environment.
Exposure with AWS tools or similar cloud tools.
Exposure to Databricks or other MLOps tools is a nice to have.

Benefits

A fun, team-oriented startup culture.
Generous stock options - we all get to own a piece of what we’re building.
Unlimited vacation days.
Flexible schedule that supports working from home.
Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
Ample opportunities to learn and take on new responsibilities.