Senior Software Developer / Technical Leader

• 8+ years of experience in software development, including 2+ years in a technical leadership role
• 8+ years of hands-on experience with at least one of .NET, Java, or Python
• Working knowledge of modern front-end frameworks (e.g., React) and the ability to guide front-end and back-end teams toward a shared architecture
• Strong understanding of software architecture principles, including microservices, design patterns, and extensible, configurable system design
• Experience with, or strong interest in, AI-native development: LLM-based tooling, agentic workflows, and AI-assisted code generation and review
• Proven ability to lead architectural change and align multiple teams around a shared technical vision
• Excellent leadership, mentoring, and communication skills
• Advanced level of English

RESPONSIBILITIES

• Lead the AI POD in starting and delivering projects with an AI-native (agentic) approach
• Own end-to-end solution architecture, ensuring scalability, maintainability, security, and alignment between business needs and technical implementation
• Drive requirements analysis: define user stories and acceptance criteria, identify dependencies, and turn business needs into executable delivery plans
• Orchestrate AI-driven delivery by decomposing requirements into well-defined tasks, directing autonomous development agents, and ensuring effective execution across the solution
• Review, validate, and approve AI-generated code, designs, tests, and technical artifacts against architectural standards, coding guidelines, and quality expectations
• Establish and enforce engineering best practices, including AI-native development workflows, code quality standards, documentation requirements, and governance processes
• Define and maintain the quality strategy, ensuring unit, integration, and end-to-end test coverage is designed, generated, and validated as part of delivery
• Verify that features meet functional and non-functional requirements (performance, reliability, maintainability, security) before release
• Mentor and grow team members, building AI-native skills and fostering a culture of continuous improvement
• Collaborate with product owners, architects, domain experts, and stakeholders to clarify requirements, resolve ambiguities, and drive technical decisions
• Create and maintain technical documentation, architecture diagrams, implementation guidelines, decision records, and delivery governance artifacts