Full-stack Software Engineer - #1763

JOBSTER PRIVATE LTD.; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

Descripción de la vacante

JOBSTER PRIVATE LTD. is seeking a Senior Technology Lead to guide a cross-functional development team focused on AI-powered systems and search tech. You will define technical vision, design scalable architectures, and balance performance, cost, reliability, and security across multiple streams.

You will champion Agile practices, drive DevOps adoption, and mentor engineers from experimentation to production-ready solutions, while aligning with product and stakeholder goals.

Formación

• 5-7+ years of experience in web application development.
• Proven experience leading agile development teams.
• Hands-on experience with Node.js, TypeScript, cloud platforms (Azure, AWS, GCP).
• Production experience with AI systems, LLM integration, or related tooling.

Responsabilidades

• Provide technical leadership to an agile, cross-functional development team.
• Define and communicate technical vision across multiple workstreams.
• Design scalable, secure, and resilient architectures for search and AI-powered systems.
• Lead DevOps adoption including build, release automation, and infrastructure improvements.
• Oversee automated testing strategy (unit, integration, performance).
• Collaborate with Product Owners and Business Analysts to prioritize stories and investments.

Conocimientos

Web application dev

Agile leadership

Node.js

TypeScript

Cloud platforms

CI/CD pipelines

Herramientas

Azure

AWS

GCP

SQL

NoSQL

CI/CD tools

Descripción del empleo

What to Expect

• Provide technical leadership to an agile, cross-functional development team
• Define and communicate technical vision across multiple workstreams
• Design scalable, secure, and resilient architectures for search and AI-powered systems
• Make architectural trade-offs balancing performance, cost, reliability, and security
• Collaborate with other Tech Leads to plan technical spikes and long-term technical strategy beyond sprint scope
• Identify technical risks early and lead mitigation strategies
• Architect systems leveraging:
  • LLM integrations (e.g., Azure OpenAI, OpenAI APIs, etc.)
  • Retrieval-Augmented Generation (RAG)
  • Semantic search and vector databases
• Establish guardrails for AI systems including:
  • Evaluation frameworks
  • Observability and monitoring
  • Data governance and security considerations
• Guide the team from experimentation → prototype → production-ready AI systems
• Evaluate emerging AI technologies and assess suitability for public sector use cases
• Champion Agile technical practices (TDD, pair programming, refactoring, CI/CD)
• Lead DevOps adoption including build, release automation, and infrastructure improvements
• Oversee automated testing strategy (unit, integration, performance)
• Lead resolution of technical blockers and retrospective improvements
• Ensure engineering standards are upheld across the team
• Work closely with Product Owners and Business Analysts to prioritise business stories and technical investments
• Collaborate with UX Designers for feasibility studies and solution estimation
• Partner with Delivery Managers on long-term planning, system integrations, and resource forecasting
• Represent the development team in governance and stakeholder meetings
• Mentor and coach engineers to grow both technically and professionally

How to Succeed

• 5-7+ years of experience in web application development
• Proven experience leading agile development teams
• Strong hands-on experience with:
  • Node.js, TypeScript
  • Cloud platforms (Azure, AWS, GCP)
  • SQL & NoSQL databases
  • CI/CD pipelines
  • DevOps practices
• Designed or led systems involving:
  • Search engines (crawl, index, ranking, relevance tuning)
  • Semantic search or vector search
  • RAG architectures
  • Production experience integrating LLMs into applications
• Experience managing AI-related trade-offs:
  • Latency vs cost
  • Accuracy vs hallucination risks
  • Prompt engineering strategies
  • Model evaluation methodologies
• Understanding of AI system governance, security, and responsible AI practices
• Strong coaching and mentoring capabilities
• Comfortable leading technical discussions and influencing stakeholders
• Proactive self-starter with strong ownership mindset
• Passionate about continuous improvement
• Curious about emerging technologies and willing to experiment responsibly
• Strong communication and stakeholder management skills
• Meticulous attention to quality and engineering standards