Senior Software Developer

It's an opportunity to solve complex challenges, take ownership of meaningful work, and help shape innovative solutions in a fast-paced, collaborative environment. We're looking for passionate, results-driven engineers who are curious, proactive, and excited to turn ideas into reality. If you thrive on solving difficult problems, enjoy taking ownership, and want your work to have a real business impact, you'll fit right in. Join a team where your ideas matter, your contributions are valued, and your growth is a priority. Key responsibilities: - 8 to 12 years of experience as a full stack developer - Hands-on experience deploying and maintaining applications in production, including CI/CD workflows and cloud platforms. - Practical experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Claude, Cursor, Windsurf, ChatGPT, or similar) to improve engineering productivity and software quality. - Demonstrated ability to integrate AI-assisted workflows into day-to-day engineering practice, from code generation and review to debugging and documentation. - Proven ability to lead by example — you guide technical direction, mentor peers, and raise the bar for the whole team. - Exceptional written and verbal communication skills, with the confidence to align stakeholders and drive clarity across teams. - Strong analytical and problem-solving capabilities with a relentless commitment to code quality. Your profile: - Demonstrated leadership experience in a technical lead or team lead capacity, with ownership of delivery, technical direction, and team outcomes. - A track record of championing new ideas, introducing better tooling or processes, and driving continuous improvement. - Experience building and maintaining applications using modern frontend frameworks such as React or Angular. - Experience with containerisation and orchestration technologies such as Docker and Kubernetes. - Familiarity with microservices architecture and distributed systems. - Experience building AI-powered applications using LLMs, RAG, agent-based architectures, or related AI technologies. - Experience implementing observability solutions, including monitoring, logging, and tracing. - Knowledge of security best practices and secure software development principles. - Experience mentoring engineers and fostering technical growth within teams.