Описание

Earnix is seeking a hands-on Software Development Team Leader to guide a team building an Analytics & Modeling Service, focusing on integrating AI into product and engineering practices.

Responsibilities

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

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
Deep understanding of cloud platforms
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

Nice to have

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)
Experience with JPA / Hibernate / EclipseLink
Experience with AWS: EC2, S3, ECS autoscaling, RDS