Senior Software Lead: Enterprise AI & Systems Delivery

HackerTrail; Singapore; Vor Ort; SGD 120.000 - 180.000; Vollzeit

Zusammenfassung

HackerTrail is seeking a Senior Software Development Engineer in Singapore and across Asia-Pacific regions to own design and delivery of large-scale systems. You will drive architecture, lead technical workstreams, and ensure scalable, secure production software on AWS while mentoring engineers and collaborating with client stakeholders.

The role emphasizes hands-on development, design ownership, and leveraging AI-assisted tooling to improve productivity, testing, and delivery execution in

Qualifikationen

• 6–10 years delivering production-grade software at scale.
• Strong Python and/or modern language skills with system design expertise.
• Proven ownership of architecture and end-to-end delivery of complex systems.
• Extensive AWS experience across compute, networking, security, and data services.
• Experience mentoring engineers and leading technical workstreams.
• Able to work directly with client stakeholders in enterprise environments.

Aufgaben

• Own design and delivery of large-scale systems and platform components.
• Lead technical workstreams and set direction for a team or module.
• Drive architecture reviews, designs, and solution documentation.
• Build and operate scalable, secure production systems on AWS.
• Establish CI/CD, testing strategies, observability, and DevSecOps practices.
• Mentor engineers and collaborate with architects and client stakeholders.

Kenntnisse

Python

AWS

System design

CI/CD

DevSecOps

Mentoring

Stakeholder mgmt

Tools

CI/CD tooling

Monitoring

Observability

Jobbeschreibung

HackerTrail is seeking a Senior Software Development Engineer in Singapore and across Asia-Pacific regions to own design and delivery of large-scale systems. You will drive architecture, lead technical workstreams, and ensure scalable, secure production software on AWS while mentoring engineers and collaborating with client stakeholders.

The role emphasizes hands-on development, design ownership, and leveraging AI-assisted tooling to improve productivity, testing, and delivery execution in