Lead Software Engineer

We are seeking an analytically minded Python developer to help build an in-house rating engine at PURE. The ideal candidate has experience contributing to large-scale Python codebases, writes clean and maintainable code, and enjoys partnering closely with business stakeholders to solve complex operational and analytical problems.

This role is well suited for someone who thrives at the intersection of software engineering and analytics, and who is comfortable navigating both independent and team-based development.

We value developers who approach engineering as a problem-solving discipline and who enjoy the process of understanding complex business challenges and designing elegant technical solutions.

What you’ll do:

• Write clean and maintainable Python code.
• Collaborate with teammates to design and implement features in a shared, version-controlled Python codebase.
• Design, develop, and maintain both back-end and front-end code for various parts of the insurance rating lifecycle.
• Engage with stakeholders across different business units to gather requirements, understand their business needs, and translate them into technical solutions.
• Analyze customer data to understand rating logic and ensure accuracy of rating.
• Learn P&C insurance concepts and products and apply this knowledge to develop code-based solutions that meet business needs., Lead backend delivery team as a hands-on technical lead. Design, develop, and maintain Java Spring Boot microservices, improve code quality, support CI/CD and DevOps, participate in Agile ceremonies, and use observability tools to monitor and troubleshoot service health. Top Skills: APIsAWSCi/CdDevOpsEvent-Driven ArchitectureJavaMicroservicesMySQLPostgresSplunkSpring BootSumo Logic Laudio

Lead Software Engineer

22 Days Ago In-Office or Remote Senior level Senior level Artificial Intelligence * Cloud * Healthtech * Software As a Lead Software Engineer, you’ll develop cloud-based applications using React and Node.js, mentor engineers, and improve processes. Top Skills: AWSNode.jsReactTypescript Coinbase

Proficiency in Python with experience in large codebases and version control systems (e.g., Git).

• Experience building internal tools, utilities, or applications that solve business problems and improve operational efficiency.
• Experience debugging and resolving data issues, with a focus on root cause analysis.
• Minimum 5 years of experience in a role that involves Python development and data analysis.
• Experience with front end development in JavaScript/Typescript is a plus.
• Experience with production deployment patterns is a plus.
• Familiarity with P&C insurance is a plus.
• Experience with Claude Code, Codex, or other agentic GenAI-based platforms is a plus.

The base salary for this role can range from $145,000 to $175,000 based on a full-time work schedule. An individual’s ultimate compensation will vary depending on job-related skills and experience, geographic location, alignment with market data, and equity among other team members with comparable experience, 218K-257K Annually Senior level 218K-257K Annually Senior level Artificial Intelligence * Blockchain * Fintech * Financial Services * Cryptocurrency * NFT * Web3 Lead long-term technical vision and roadmap for the Overseer platform to ensure correctness across Coinbase fund flows. Own architecture, design and delivery of real-time detection, invariant frameworks, and partner APIs. Drive cross-team alignment, set engineering standards, mentor engineers, lead P0 initiatives, and apply generative AI responsibly to scale automated guardrails and enforcement capabilities. Top Skills: APIsDistributed SystemsGenerative AiGoJavaPythonReal-Time Detection

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

PURE Insurance is actively investing in our data, analytics, data science, machine learning (ML), and artificial intelligence (AI) capabilities. Toward this, we are building a centralized Data & ML/AI department with specialists across 10 key roles: Data Architects, Data Engineers, Analytics Engineers, Data Visualization Engineers, Data Product Managers, Data Analysts, Data Scientists, ML/AI Engineers, ML Operations (MLOps) Engineers, and Data Governance Professionals. As a member of the team, you will have unique opportunities for growth and collaboration since this diverse team structure allows you to deepen your expertise while gaining insights into related technical areas.

The combination of enterprise-wide specialization and department-specific problem-solving means you will engage with every function within the complex insurance ecosystem (from IT/Technology to all business units, including Underwriting, Claims, Customer Experience, Actuarial/Pricing, Product Management, Sales/Marketing, Distribution, HR, and Finance). Moreover, you will have the opportunity to shape, establish, and work with cutting-edge products within the modern Data & ML/AI technology stack, such as Databricks, dbt, GitHub, Hex, and Arize. In cases where it provides a competitive advantage, you will also develop in-house production-grade software in Python and other programming languages. Leveraging these technologies, you will streamline the transformation of first-party and third-party data into actionable insights, placing you at the forefront of innovation and directly driving business value.

The ideal candidate for the Data & ML/AI department at PURE Insurance embodies resolve and a commitment to doing the right thing, even when it requires taking the more challenging path forward. They balance delivering short-term value with building a robust, scalable foundation. This individual thrives in a dynamic and collaborative environment, communicates effectively with a diverse set of stakeholders, and prioritizes their time to align with our strategic goals. They are dedicated to leveraging their expertise and their colleagues’ complementary skills to drive continuous improvement and learning. Above all, they are accountable, transparent, and take ownership of their responsibilities, fostering trust and high performance in the team.

PURE Insurance’s company culture is a major differentiator. The leadership team understands that building a strong foundation in Data and ML/AI can take years, and they embrace the fact that learning from mistakes is an important part of the journey. PURE invests heavily in its people, prioritizing growth and development and offering extensive opportunities for mentorship, knowledge sharing, and career advancement. We seek individuals eager to think outside the box, apply insights from other companies, and challenge the status quo. Your voice matters here, and you are encouraged to speak up and make your impact felt across the organization. Join us and be part of a self-organizing Data & ML/AI department where your contributions are truly valued and will be impactful toward making PURE Insurance an industry leader in Data and ML/AI.

All positions in the Data & ML/AI Department at PURE Insurance are for full-time remote employment, where you can work anywhere in the USA. If you prefer, you can also work at one of the PURE Insurance offices located throughout the USA, including White Plains (NY), New York (NY), Warren (NJ), Chicago (IL), Boston (MA), Charleston (SC), Atlanta (GA), Fort Lauderdale (FL), Scottsdale (AZ), San Francisco (CA), and San Diego (CA).

What We Do

We’re a member-owned property and casualty insurer designed exclusively for financially successful families and driven by a purpose of doing what is right for our members. We provide exceptional service, hospitality and care, we partner with our members to help prevent losses and we create smart insurance solutions at fair prices.

We aim for our members to love their insurance. It is our mission is to create a membership experience so compelling that our members never want to leave.

Who We Are

We want to be transparent about what we expect from each other. From PURE, you can expect:

Opportunities to stretch and grow: your professional and personal development matters to us. We’re committed to providing experiences through on-the-job learning and professional development that increase your impact and rewards.

Clarity and kindness: you can rely on us to be open, honest and supportive, offering clarity on what success looks like.

Support in good times and bad: we believe in showing up for each other consistently, not only when it’s easy. You can expect a thoughtful partner, even when we disagree.

A community that cares: we are committed to sustaining a community in which each person feels cared for as an individual. We lift each other up, celebrate wins together and support one another through challenges in work and life.

Who You Are

All of the strongest relationships are a partnership- a two way street. So here’s what we ask of you:

• Aim to bring your best every day: you’re here because you want to be part of a team that makes a real impact and aims high.
• Be a student and a teacher: share your knowledge and talents and be willing to listen and learn from those around you.
• Get comfortable being uncomfortable: we face tough moments and obstacles with a “courage over comfort” approach and a positive, solutions-oriented mindset.
• Be a culture builder: building a positive culture is everyone’s responsibility, based on care, respect and openness to diverse perspectives.