Software Development Team Leader

We’re looking for a hands-on, forward-thinking Software Development Team Leader to lead a team of experts building our next-generation Analytics & Modeling Service. You’ll guide the team from ideas and technical design through delivery, while evaluating emerging technologies and shaping how AI is adopted across our products and engineering practices. If you enjoy turning innovative ideas into scalable solutions, influencing both what we build and how we build it, and working with a collaborative team, we’d love to meet you. What you’ll do: Lead the team’s day-to-day work, guiding projects from technical design through successful delivery Evaluate emerging tools, frameworks, and architectures through focused POCs, and turn successful experiments into production-ready solutions Drive the adoption of AI-assisted engineering across coding, testing, and code review, while measuring its impact on quality and delivery speed Establish best practices and guardrails for AI-driven development, and promote them across the R&D organization Partner with Product, Data Science, and Architecture to build AI-powered capabilities into the Analytics & Modeling Service Own the architecture, APIs, and data models of the team’s components, balancing performance, scalability, reliability, and cost Deliver product capabilities and build the infrastructure required to support performance and scale Work directly with insurers’ business and IT teams to understand requirements, discuss architecture, integration, deployment, security, and infrastructure, demonstrate new capabilities, and incorporate customer feedback into the product Hire, onboard, mentor, and develop team members and future leaders as the group grows Foster a collaborative, open, and supportive culture Requirements: You’ll do it using: 3–5 years of proven experience as a team lead in a fast-paced environment Strong proficiency in Java, with hands-on experience in performance and scale of Java applications on cloud services Strong system design skills: Proven experience designing scalable, distributed, cloud-based systems, including services, APIs, data flows and infrastructure, and taking them from design to production Experience with relational databases (advantage: JPA / Hibernate / EclipseLink) Deep understanding of cloud platforms (advantage: AWS: EC2, S3, ECS autoscaling, RDS) Hands-on experience with AI-assisted development tools (e.g., Claude Code, Copilot, Cursor) and a clear view on how they change engineering work A track record of evaluating new technologies and leading POCs to production adoption Advantage: Experience building with LLMs / GenAI (APIs, agents, RAG, MCP, prompt and evaluation practices) Experience in customer-facing technical work, such as requirements gathering, technical discussions with client IT teams, or product demos Experience defining engineering processes or methodologies at team or group level Familiarity with Spark Frontend knowledge (React, JavaScript, TypeScript). You’ll excel by: Being curious and quick to experiment, comfortable with ambiguity and with moving fast from idea to POC to decision Bringing a pragmatic, evidence-based approach to new technology: knowing when to adopt, when to wait, and when to drop Collaborating effectively with cross-functional teams and communicating ideas clearly Being comfortable in front of customers, able to explain complex technical topics clearly to both technical and business audiences Using strong analytical and critical-thinking skills to solve complex technical challenges Being a motivated self-learner who drives innovation and raises the bar for others Thinking like an owner, taking initiative and owning the success of our new product Position Intro: Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers’ pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnix’s AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, real-time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.