Software Developer Manager / Engineer Manager

At Xtremax, we believe great engineering leaders do more than manage delivery—they inspire teams, drive technical excellence, and create an environment where innovation thrives. We are looking for an experienced Software Development Manager / Engineering Manager who combines strong technical expertise with proven leadership capabilities to build, mentor, and scale high-performing engineering teams. This role requires someone who can lead the development of modern cloud-native applications while driving the adoption of Generative AI technologies to solve real-world business challenges. You will be responsible for technical strategy, engineering execution, people development, and ensuring the successful delivery of scalable, secure, and high-quality solutions.

Responsibility Leading• Lead and mentor a team of software engineers across frontend, backend, cloud, and AI initiatives. • Drive engineering best practices, coding standards, architecture governance, and quality assurance. • Provide technical guidance and architectural direction for complex software solutions. • Conduct code reviews, design reviews, and technical coaching sessions. • Support career development, performance management, and succession planning within the engineering team. • Foster a culture of continuous learning, innovation, and collaboration.

Solution Delivery & Architecture• Oversee the design and development of modern web applications and cloud-native solutions. • Ensure scalability, reliability, security, and maintainability of software systems. • Collaborate with Solution Architects and Product teams to translate business requirements into technical solutions. • Drive DevOps, CI/CD, automation, and engineering productivity initiatives. • Manage technical risks, dependencies, and delivery timelines.

GenAI & Innovation• Lead the adoption and implementation of Generative AI technologies across products and internal operations. • Guide teams in designing solutions leveraging LLMs, RAG architectures, AI agents, and automation workflows. • Evaluate emerging AI technologies, frameworks, and platforms for business applicability. • Establish engineering standards and governance for AI-powered solutions, including observability, reliability, security, and responsible AI practices.

Stakeholder Management• Partner with Product Managers, Architects, Business Analysts, UX Designers, and Delivery teams to ensure successful project outcomes. • Communicate technical strategies, trade-offs, and delivery progress to senior stakeholders. • Support presales and customer-facing discussions when technical leadership is required.