Grab
Technology
LeadSoftwareEngineer,Backend-ServiceMesh
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Software Engineer, Backend - Service Mesh at Grab. Skills: Service mesh, Platform engineering, Distributed systems, Cloud-native infrastructure. Define multi-year technical strategy for service mesh platform. Lead data plane and control plane evolution”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Bachelor's or Master's Degree in Computer Science, Engineering, or related field, or equivalent practical experience, 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, Operating service mesh technologies at scale in production, Experience with microservices networking, Track record leading delivery of complex platform projects, Experience contributing to or extending mesh-related open-source projects, Expertise with Kubernetes, container orchestration, and cloud-native infrastructure, Experience with DevOps practices, CI/CD, infrastructure as code, Experience with modern observability stacks, Promote AI tool adoption in an engineering team
Nice to Have
Proficiency in Go, Experience with Istio, Envoy, Linkerd, Consul, or equivalent, Experience with AWS, GCP, or Azure
What You'll Do.
Define multi-year technical strategy for service mesh platform
Lead data plane and control plane evolution
Develop capability roadmap for service mesh
Plan migration paths from legacy systems
Architect mesh infrastructure changes
Review mesh infrastructure changes
Manage traffic management
Manage service discovery
Manage mTLS and identity
Manage cross-cluster communication
Lead architecture decisions across teams
Represent mesh platform in technical forums
Break down multi-quarter plans into deliverables
Lead team through execution
Guide critical incident response
Perform root-cause analysis for mesh incidents
Ensure long-term fixes land
Ensure capacity planning
Ensure performance tuning
Ensure SLO definition
Ensure proactive monitoring of mesh health
Mentor junior engineers
Mentor senior engineers
Conduct technical reviews
Help grow team capability
Promote AI-assisted engineering tools
Set bar for AI tool usage
Identify opportunities to apply AI in operational workflows
Lead implementation of AI applications
Build internal patterns for collaboration
Build shared infrastructure for collaboration
How You'll Work.
Team & Collaboration
Partner with other teams; Cross-organization technical forums; Cross-functional teams
Process & Methodology
Roadmap planning, Agile
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 Singapore 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 systems. * You w
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