Senior Engineering Manager Tradenet

What you'll doOrganisation building & leadership● Build, hire, and grow a multi-disciplinary TechOps team (10+ engineers, growing) spanning DevOps, Quality Engineering, Database Engineering, Security Operations, Production Support, and Observability.● Define team structures, RACI, roles, career ladders, and progression frameworks. Clarify interfaces between TechOps pillars, product squads, and the Architecture function.● Own OKRs and delivery milestones for TechOps. Report progress, risks, and capacity constraints to programme leadership before they become blockers.● Set the standard for how TechOps works: automate by default, measure what matters, fix what's broken. Platform & delivery● Own the engineering platforms that product squads depend on: CI/CD pipelines, infrastructure-as-code, quality gates, security scanning, observability, and database services.● Deliver governed self-service so squads deploy independently within approved guardrails — without waiting on your teams for routine operations.● Own the Green Lane and make releasing uneventful: deployment frequency, lead time, change failure rate, MTTR.● Establish production support operations (L1/L2/L3), on-call processes, and incident management frameworks.● Drive compliance readiness: audit evidence, security accreditation (CSA/CSG/IM8), and go-live gates for each programme wave. Engineering standards & AI-assisted practices● Set and enforce TNR-wide engineering standards across code quality, testing, review processes, and deployment safety.● Drive AI-assisted engineering workflows: standardised tooling, commit attribution, AI-augmented code review, test generation, and quality evaluation.● Hold all engineering output to the same quality bar whether it was written by a human or an AI agent. What we are looking for● At least 12 years of experience in technology, with 6+ years in engineering leadership managing platform, infrastructure, or operations teams at scale.● Demonstrated experience building and leading a support organisation — not just overseeing one, but standing it up: hiring, defining tiers (L1/L2/L3), setting quality standards, managing escalations, and coaching engineers. You understand production support from the inside.● Proven track record in FinOps and cloud cost optimisation at scale — driving organisational change to embed cost-efficiency into engineering culture, not just reporting on spend. Experience delivering material financial outcomes (not just dashboards).● Experience with data platforms and cloud infrastructure — data lake architecture, large-scale cloud migrations, or database engineering. Hands-on enough to make sound technical tradeoffs on data strategy and cloud architecture decisions.● Track record managing multiple engineering disciplines simultaneously(infrastructure + support + data, or similar). Single-function management experience is not sufficient.● Experience executing large-scale cloud migrations — moving significant workloads to production cloud environments under time pressure, not just writing migration plans.● Strong vendor and alliance management — experience as executive liaison with major cloud providers, technology vendors and system integrators, including partnership governance.● Experience in compliance-heavy environments (government, financial services, critical infrastructure) where audit evidence, security accreditation, and change governance are non-negotiable.● Comfortable working alongside teams that use AI development tools daily. You don't need to write prompts yourself, but you need to understand AI-assisted engineering well enough to set standards and judge output quality. Good to have● Experience with the Singapore government technology ecosystem (GovTech, SGTS, IM8/CSA frameworks).● Background in trade, logistics, or regulatory platform engineering.● Experience with AWS at enterprise scale.● Familiarity with AI-assisted development workflows and agentic engineering practices.● Experience with large-scale legacy modernisation programmes, and/or regulated cutover