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.