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Senior Software Engineer - Deployment Platform

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Onsite

Senior Software Engineer - Deployment Platform

PLT Engineering

Senior Software Engineer - Deployment Platform

Skills

Machine Learning

2 months ago

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Important information


Contract type:

Permanent

Location:

Kuala Selangor, Selangor, Malaysia

Work mode:

Onsite

Published on:

27 August 2026

What they need


Get to Know the Team

We build and operate the deployment platform that ships over thousands of services onto Grab's Managed EKS (MEKS) fleet. Our systems — Conveyor and Flagger-driven progressive delivery — are the path every service change takes to production. In H2, we're extending that path from single-cluster into multi-cluster and multi-region deployments. We're converging ML model serving onto MEKS, and building the deployment control plane. This control plane makes safe, progressive rollouts the default rather than the exception.

Get to Know the Role

This is a platform role at scale: the abstractions you design are used by hundreds of engineering teams, and the failure modes you prevent are the ones that show up as customer-facing incidents. You will be reporting to Senior Software Engineering Manager

This role is onsite based in our Petaling Jaya, Malaysia office.

The Critical Tasks You Will Perform:

  • You will manage components of the deployment platform end to end — from RFC through design, implementation, rollout, and operation. You'll take a problem like multi traffic orchestration or canary safety and guide it to landing, not just to merge.
  • You will extend the deployment model and platform to support multi-deployment placement, working with OCM for placement and hub-side Istio orchestration for endpoint aggregation.
  • You will build and harden progressive-delivery mechanics. These mechanics include Flagger-based canary and blue/green rollouts, and the guardrails that make them safe under real-world conditions. The guardrails ensure rollback correctness, autoscaler interactions, and traffic-shift integrity.
  • You will design deployment abstractions that hold up across heterogeneous workloads, including standardising ML model serving workloads onto the same platform.
  • You will debug hard, cross-system production issues. These issues involve the interaction of deployment, autoscaling (Karpenter/KEDA), and the service mesh (Istio). You will turn the findings into durable platform fixes rather than one-off patches.
  • You will raise the engineering bar through design reviews, code review, and RFCs; mentor engineers and help set technical direction within the team.

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