Software Engineering Manager II

Seoulstart; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Seoulstart seeks an senior engineering leader to guide a production-scale software team in Singapore. You will lead and coach engineers, partner across Product, Data Science, Analytics, and Operations to align priorities and roadmaps, and own the engineering roadmap with a focus on reliability, scalability, and cost efficiency.

You will shape technical direction with senior engineers, drive architecture trade-offs, and ensure robust CI/CD practices.

Qualifications

• Eight years of software engineering experience designing and operating production systems at scale.
• Two years of experience managing and developing software engineers.
• Hands-on LLM and generative AI experience with model evaluation, prompt design, RAG, monitoring.
• Understanding of AI risks: hallucinations, data privacy, security, reliability, latency, cost.
• Strong backend engineering, distributed systems, APIs, databases, and cloud infrastructure foundation.
• Ability to deliver complex initiatives involving multiple teams and stakeholders.
• Experience coaching engineers, managing performance, and supporting career development.
• Sound judgment balancing product delivery, engineering quality, reliability, and maintainability.
• Strong written and verbal communication, explaining technical and AI trade-offs clearly.

Responsibilities

• Lead and coach engineers with clear expectations and individual growth plans.
• Partner with Product, Data Science, Analytics, and Operations on priorities, roadmaps, outcomes.
• Own planning and delivery of engineering roadmap, managing dependencies and risks.
• Establish technical direction with senior engineers, guide architecture and engineering trade-offs.
• Improve reliability, scalability, security, observability, and cost efficiency of owned systems.
• Establish engineering practices for design reviews, testing, deployment, incident response, and CI.
• Create inclusive environment with clarity, psychological safety, and meaningful team ownership.
• Attract, assess, retain strong talent; contribute to hiring and talent development.
• Communicate progress, risks, and decisions to technical and non-technical stakeholders.

Skills

lead and coach engineers

communication skills

deliver complex initiatives

team leadership

AI/LLM knowledge

Tools

APIs

Databases

Cloud infrastructure

Job description

What you'd do:

• Lead and coach engineers with clear expectations and individual growth plans.
• Partner with Product, Data Science, Analytics, and Operations on priorities, roadmaps, outcomes.
• Own planning and delivery of engineering roadmap, managing dependencies and risks.
• Establish technical direction with senior engineers, guide architecture and engineering trade-offs.
• Improve reliability, scalability, security, observability, and cost efficiency of owned systems.
• Establish engineering practices for design reviews, testing, deployment, incident response, and CI.
• Create inclusive environment with clarity, psychological safety, and meaningful team ownership.
• Attract, assess, retain strong talent; contribute to hiring and talent development.
• Communicate progress, risks, and decisions to technical and non-technical stakeholders.

What they want:

• Eight years software engineering experience designing and operating production systems at scale.
• Two years experience managing and developing software engineers.
• Hands-on LLM and generative AI experience with model evaluation, prompt design, RAG, monitoring.
• Understanding of AI risks: hallucinations, data privacy, security, reliability, latency, cost.
• Strong backend engineering, distributed systems, APIs, databases, and cloud infrastructure foundation.
• Ability to deliver complex initiatives involving multiple teams and stakeholders.
• Experience coaching engineers, managing performance, and supporting career development.
• Sound judgment balancing product delivery, engineering quality, reliability, and maintainability.
• Strong written and verbal communication, explaining technical and AI trade-offs clearly.

Eight years software engineering experience designing and operating production systems at scale.

Two years experience managing and developing software engineers.

Hands-on LLM and generative AI experience with model evaluation, prompt design, RAG, monitoring.

Understanding of AI risks: hallucinations, data privacy, security, reliability, latency, cost.

Strong backend engineering, distributed systems, APIs, databases, and cloud infrastructure foundation.

Ability to deliver complex initiatives involving multiple teams and stakeholders.

Experience coaching engineers, managing performance, and supporting career development.

Sound judgment balancing product delivery, engineering quality, reliability, and maintainability.

Strong written and verbal communication, explaining technical and AI trade-offs clearly.