Grab
superapp
LeadSoftwareEngineer,Backend-ServiceMesh
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Software Engineer, Backend - Service Mesh at Grab. Skills: Service Mesh, Kubernetes, Cloud-native infrastructure, Go. Define and lead technical strategy. Architect and review mesh infrastructure changes”
What You'll Achieve.
Deliver a secure, observable, and scalable mesh; Accelerate engineering velocity
Industry & Context.
Root-cause analysis
Onsite based in Petaling Jaya, Malaysia office
What They're Looking For.
Must Have
6+ years of software engineering experience, at least 3 years working on distributed systems, networking, or platform infrastructure, deep, hands-on expertise with service mesh technologies — Istio, Envoy, Linkerd, Consul, or equivalent — including operating them at scale in production, experience with microservices networking: HTTP, TCP/IP, gRPC, TLS/mTLS, load balancing, and service discovery, track record leading the delivery of complex platform projects across multiple teams or quarters, proficiency in Go (preferred), Java, or Python, expertise with Kubernetes, container orchestration, and cloud-native infrastructure (AWS, GCP, or Azure), experience with DevOps practices, CI/CD, infrastructure as code, and modern observability stacks, promote AI tool adoption in an engineering team
Nice to Have
experience contributing to or extending mesh-related open-source projects
What You'll Do.
Define and lead technical strategy
Architect and review mesh infrastructure changes
Manage platform-wide concerns
Lead architecture decisions
Break down plans into deliverables
Guide incident response
Ensure capacity planning
Ensure performance tuning
Ensure SLO definition
Ensure proactive monitoring
Conduct technical reviews
Help grow team capability
Promote AI tool adoption
Identify AI opportunities
Lead AI implementation
Build internal patterns
How You'll Work.
Team & Collaboration
Collaborate with other teams; Partner with other teams; Represent mesh platform in technical forums; Collaborate using expertise; Promote collaboration
Process & Methodology
Break down ambiguous plans, Lead team through execution
Full Job Description
About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to know our Team The Service Mesh Engineering team is a dynamic and experienced group responsible for developing our service mesh infrastructure, which forms the backbone of our microservice architecture. We help manage service-to-service connectivity, securing traffic, providing observability metrics, and enhancing service through proper use of Hystrix, timeouts, and rate limiting. Our team collaborates, using expertise in networking, infrastructure, microservices, and more. Get to know the Role We are looking for a Lead Software Engineer to guide the technical direction and execution of our service mesh platform — the foundation of service-to-service communication across our microservices architecture. You will be reporting to Senior Software Engineering Manager. You will oversee the architecture and roadmap of the platform, lead a team of engineers, and partner with other teams across the organization to deliver a secure, observable, and scalable mesh. You will also expect to guide how the team uses AI tooling to accelerate engineering velocity. This is a senior technical leadership role with influence over platform direction, engineering practices, and how the team operates day-to-day. This role is onsite based in our Petaling Jaya, Malaysia office. The Critical Tasks You Will Perform Technical leadership * You will define and lead the multi-year technical strategy for the service mesh platform, including data plane and control plane evolution, capability roadmap, and migration paths from legacy sy
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