Lead Python Engineer

About Kyros Kyros is a next-generation actuarial software platform, bringing together advanced modeling, interactive visualization, and automated workflows into a unified system.

It helps actuarial teams move faster from analysis to delivery by combining powerful data processing with intuitive web applications.

Position Overview

We're seeking a Senior Software Developer & Lead with deep expertise in Python and web application development who thrives on building momentum around technical initiatives.

This role sits at the intersection of hands-on technical execution, software architecture leadership, and inspiring engineering excellence across unified teams.

Key Innovation

This position leads our transition from siloed development teams (Plotly visualization, data modeling tools) into a unified software development organization focused on integrated product solutions.

You'll spend

• % of your time writing high-quality code, while also rallying the team around best practices, mentoring developers, and championing our long-term vision of continuous value delivery.

Key Responsibilities

Technical Leadership & Architecture

Lead by example – Write production-quality Python applications that demonstrate excellent coding standards, comprehensive testing, and clear documentation.

Set the technical bar through exemplary code reviews, thoughtful PR comments, and mentorship that elevates the entire team's capabilities.

Software architecture collaboration – Work with existing software / systems architecture team members while developing capability to handle architectural decisions independently.

Modernize development practices – Guide team evolution toward CI / CD, automated testing, and Kanban-based throughput optimization.

Champion AI-assisted development – Model effective use of tools like Cursor and Claude Code to accelerate development workflows.

Excellence in acceptance criteria – Drive development of comprehensive user acceptance criteria and ensure compliance with quality standards.

Team Leadership & Galvanizing

Unify development organization – Integrate separate Plotly and data modeling teams into 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 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

Quarterly planning participation – Work with Actuarial Solutions Architect and Client Delivery Team Leads to assess technical feasibility, provide capacity estimates, and ensure realistic quarterly commitments.

Process ownership evolution – Implement agile and software disciplines with enterprise coaching support initially, then take increasing ownership of process improvements and team excellence initiatives.

Kanban and throughput optimization – Work with cycle time, throughput, and other Kanban-based KPIs to optimize team performance.

Skills gap identification – Assess team capabilities and coordinate development plans for junior developers eager to grow.

Technical Requirements

8+ years 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 BDD and 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 (preferred but not required).

Big data processing – Experience with Databricks, Spark, or similar distributed data processing platforms.

We offer

We welcome new ideas and allow you to make an immediate impact on the team.

Flexible PTO for any reason, including sick days (no specified limits) and flexible work schedule.

Personal laptop.

Health / Sport Budget.

Fully remote.

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