Xtremax Pte. Ltd.
Information Technology and Services
SoftwareDeveloperManager/EngineerManager
Neural analysis suggests this role is
optimal for Manager candidates.
“Software Developer Manager / Engineer Manager at Xtremax Pte. Ltd.. Skills: Software Development Management, Cloud-native applications, Generative AI. Lead software engineers. Mentor software engineers”
What You'll Achieve.
Successful project outcomes; Successful delivery of solutions
Industry & Context.
Technical risks
What They're Looking For.
Must Have
8+ years software engineering experience, 3+ years leading engineering teams, Hands-on React.js experience, Hands-on Next.js experience, Hands-on Node.js experience, Hands-on TypeScript experience, Cloud-native solutions on AWS, Cloud-native solutions on Azure, Cloud-native solutions on GCP, Understanding of software architecture, Understanding of APIs, Understanding of databases, Understanding of distributed systems, Understanding of microservices, Experience implementing CI/CD pipelines, Experience with DevOps practices, Experience with engineering automation, Production-grade GenAI solutions experience, Experience with LLMs, Experience with prompt engineering, Experience with vector databases, Experience with semantic search, Experience with RAG architectures, Experience with AI agent frameworks, Understanding of AI solution trade-offs, Proven experience leading teams, Proven experience mentoring teams, Stakeholder management skills, Communication skills, Experience managing engineering delivery, Agile environments experience, Balance technical excellence with business priorities
Nice to Have
Experience with government environments, Experience with regulated environments, Experience with enterprise environments, Experience leading distributed teams, Experience leading offshore teams, Familiarity with compliance requirements, Familiarity with governance requirements, Familiarity with audit requirements, Exposure to large-scale document processing, Exposure to workflow automation, Exposure to AI-driven platforms, Experience supporting presales activities, Experience with client-facing technical engagements
What You'll Do.
Lead software engineers
Mentor software engineers
Drive engineering best practices
Drive coding standards
Drive architecture governance
Drive quality assurance
Provide technical guidance
Provide architectural direction
Conduct design reviews
Conduct technical coaching
Support career development
Support performance management
Support succession planning
Foster continuous learning
Oversee design of web applications
Oversee development of web applications
Oversee design of cloud-native solutions
Oversee development of cloud-native solutions
Ensure scalability of systems
Ensure reliability of systems
Ensure security of systems
Ensure maintainability of systems
Collaborate with Solution Architects
Collaborate with Product teams
Translate business requirements
Drive DevOps initiatives
Drive CI/CD initiatives
Drive automation initiatives
Drive engineering productivity initiatives
Manage technical risks
Manage delivery timelines
Lead adoption of Generative AI
Lead implementation of Generative AI
Guide teams in designing LLM solutions
Guide teams in designing RAG solutions
Guide teams in designing AI agent solutions
Guide teams in designing automation workflows
Evaluate emerging AI technologies
Evaluate AI frameworks
Evaluate AI platforms
Establish engineering standards for AI
Establish governance for AI
Ensure AI observability
Ensure AI reliability
Ensure responsible AI practices
Partner with Product Managers
Partner with Architects
Partner with Business Analysts
Partner with UX Designers
Partner with Delivery teams
Communicate technical strategies
Communicate trade-offs
Communicate delivery progress
Support presales activities
Support customer-facing discussions
How You'll Work.
Team & Collaboration
Cross-functional teams; Solution Architects; Product teams; Product Managers; Architects; Business Analysts; UX Designers; Delivery teams; Senior stakeholders
Communication Scope
Stakeholder management; Technical strategies; Delivery progress; Customer-facing discussions
Process & Methodology
Agile environments, Delivery timelines
Full Job Description
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
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