Software Engineering Lead

5 days ago


Singapore SCIENTEC CONSULTING PTE. LTD. Full time
Roles & Responsibilities

Software Engineering Lead | Artificial Intelligence

  • Working Hours: Mon-Fri (Hybrid)
  • Location: Central
  • Remuneration: Up to $14,000 + VB

We're looking for a highly experienced and passionate Software Engineering Lead to lead the development of innovative AI-driven products and platforms. This is a senior technical leadership role with hands-on responsibilities across software engineering, quality assurance, and devsecops – managing both people and processes to bring cutting-edge ideas to life.

You will guide multidisciplinary engineering teams to build scalable, secure, and high-quality solutions that serve real-world needs. If you're excited about leading teams, building robust software solutions, and shaping AI product strategies.

Responsibilities

  • Lead cross-functional teams of software engineers, QA specialists, AI/ML engineers, and devsecops professionals.
  • Define engineering scope of work and oversee the full software development lifecycle from design to deployment.
  • Make informed technical decisions, evaluating trade-offs between solution options to deliver impactful results.
  • Implement and enhance software engineering best practices, frameworks, and workflows – including MLOps and DevSecOps.
  • Drive continuous improvement in development, testing, security, and deployment pipelines.
  • Collaborate with internal product managers and external partners to align engineering delivery with business outcomes.
  • Mentor and grow team members, aligning their career development with the organisation's needs and goals.
  • Foster a culture of innovation, experimentation, and technical excellence across the engineering team.
  • Stay on top of the latest trends in AI and software engineering and introduce technologies that enhance productivity and product quality.
    • Requirements
    • Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
    • 8+ years of relevant professional experience in software or systems engineering, with at least 6 years hands-on.
    • 3+ years of experience building software products in Agile teams (e.g. Scrum).
    • Proven experience managing and scaling engineering teams across multiple functions (AI/ML, QA, DevOps).
    • Deep hands-on knowledge of Python, with experience in Bash and PowerShell scripting.
    • Strong background in deploying AI/ML solutions with Docker, Kubernetes or Kubeflow.
    • Experienced working with cloud platforms (AWS or Azure); bonus if familiar with secure or regulated cloud environments.
    • Track record of delivering production-grade software that is secure, maintainable, and scalable.
    • Strong communicator with the ability to articulate product vision and technical trade-offs to non-technical audiences.
    • Analytical mindset with a drive for continuous improvement and a bias toward action.
    • A genuine passion for building great products that deliver real user value.
    • Exposure to AI/ML, data analytics or data platforms is a strong plus.

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Aloysius Tan Sheng Rong - R22110441

ScienTec Consulting Pte Ltd - 11C5781

Tell employers what skills you have

TensorFlow
Kubernetes
Azure
Pipelines
Experimentation
Scrum
Artificial Intelligence
Software Engineering
Career Development
Agile
Scripting
Python
Docker
Technical Leadership
Systems Engineering
Software Development

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