Our vision is to create a next-generation actuarial software platform, integrating advanced modeling, interactive visualization, and automated workflows into a unified system. This enables actuarial teams to move faster from analysis to delivery by combining powerful data processing with intuitive web applications.
This role sits at the intersection of hands-on technical execution, software architecture leadership, and inspiring engineering excellence across unified teams.
The ideal candidate will lead our transition from siloed development teams to a unified software development organization focused on integrated product solutions.
You'll participate in strategic quarterly planning sessions, providing technical feasibility input and capacity reality alongside our actuarial solutions architect and client delivery team leads.
Key Responsibilities:
* Develop production-quality Python applications that demonstrate excellent coding standards, comprehensive testing, and clear documentation.
* Set the technical bar through exemplary code reviews, thoughtful pull requests, and mentorship that elevates the entire team's capabilities.
* Collaborate on software architecture – work with existing software/systems architecture team members while developing capability to handle architectural decisions independently.
* Modernize development practices – guide team evolution toward continuous integration/continuous deployment (CI/CD), automated testing, and Kanban-based throughput optimization.
* Champion AI-assisted development – model effective use of tools like Cursor and Claudia Code to accelerate development workflows.
* Drive excellence in acceptance criteria – develop comprehensive user acceptance criteria and ensure compliance with quality standards.
Team Responsibilities:
* Unify development organization – integrate separate Plotly and data modeling teams into a cohesive group delivering integrated software solutions.
* Champion technical initiatives and help the team get excited about new approaches, tools, and improvements.
* Build consensus around architectural decisions and communicate the “why” behind technical choices to ensure buy-in.
* Energize development processes – lead daily standups, planning sessions, and retrospectives with enthusiasm that maintains team momentum.
* Foster commitment and follow-through – help the team buy into quarterly commitments and establish accountability for delivering on promises made in retrospectives and planning sessions.
* Mentor through collaboration – provide “shoulder-to-shoulder” technical mentoring through pairing sessions, code reviews, and collaborative problem-solving rather than formal training programs.
Strategic Planning & Collaboration:
* Participate in quarterly planning – work with actuarial solutions architect and client delivery team leads to assess technical feasibility, provide capacity estimates, and ensure realistic quarterly commitments.
* Evolve process ownership – implement agile and software disciplines with enterprise coaching support initially, then take increasing ownership of process improvements and team excellence initiatives.
* Optimize Kanban and throughput – work with cycle time, throughput, and other Kanban-based KPIs to optimize team performance.
* Identify skills gaps – assess team capabilities and coordinate development plans for junior developers eager to grow.
Requirements:
* 8+ years of professional software development experience with strong Python expertise.
* 2+ years of leading experience.
* Experience with Azure cloud.
* Web application development using frameworks like Flask, Django, or FastAPI.
* Database proficiency – SQL databases, query optimization, and data architecture decisions.
* Testing discipline – unit testing, integration testing, and automated testing practices including Behavior-Driven Development (BDD) and Test-Driven Development (TDD) methodologies.
Nice to Have:
* Data manipulation and scaling – experience with large datasets, performance optimization, and data processing pipelines using Pandas, NumPy, and potentially PySpark.
* CI/CD pipeline automation – advanced automation and deployment optimization experience.
* Machine learning libraries – experience with Torch, PyTorch, PyTorch Lightning, or similar ML frameworks.
* Big data processing – experience with Databricks, Spark, or similar distributed data processing platforms.
We Offer:
* A flexible remote work environment.
* Paid time off for any reason.
* A personal laptop.
* A health/sport budget.
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