Grab
Information Technology And Services
LeadSoftwareEngineer,Flink
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Software Engineer, Flink at Grab. Skills: Flink, Kafka, AWS cloud infrastructure, Kubernetes, Scala, Java, Stream Processing. lead mid to large sized projects across a Tech Family (or vertical). be a technical mentor and go-to person in a team of 3 to 5 senior engineers”
What You'll Achieve.
ensure seamless and secure real-time access to the continuous events or "streams"; provide a cost-effective, managed "NoOps" service for all product teams to leverage; provide integrated data platforms that ensure everyday opportunities with big data innovation; make Stream Processing easy, reliable, efficient and secure across Grab; lower the barrier of entry to Stream Processing in Grab; shift the maintenance and security toil away from our users; Improve the automation and self-served capabilities that allow our small team to support 1000+ Stream Processing applications in Grab; Drive the adoption of Stream Processing across Grab; definition and evolution of platform availability and reliability SLAs
Industry & Context.
work onsite at Grab Vietnam office, on-call, incident response procedures
What They're Looking For.
Must Have
7+ years leading teams or projects in software engineering, data engineering, or information security disciplines, Worked and operated Stream Processing pipelines in production (Flink or Spark Streaming), Hands-on competencies with Kafka, programming experience with Scala or Java
Nice to Have
Experience with Kafka Connect, Kubernetes, Go, Gitlab CI, AWS, Terraform, Experience with a data warehouse like Spark
What You'll Do.
lead mid to large sized projects across a Tech Family (or vertical)
be a technical mentor and go-to person in a team of 3 to 5 senior engineers
work across our stack
from Flink and Kafka to AWS cloud infrastructure
observability and SRE
practical hands-on building of systems and code
driving higher-level discussions around architecture and design
make Stream Processing easy
efficient and secure across Grab
through self-served capabilities baked in our platform
Create the abstractions
modules and libraries to lower the barrier of entry to Stream Processing in Grab and shift the maintenance and security toil away from our users
Improve the automation and self-served capabilities that allow our small team to support 1000+ Stream Processing applications in Grab
Weigh in on design questions around platformization
observability and security
Drive the adoption of Stream Processing across Grab
by evangelizing for our platform and products
and by directly helping our internal users develop the next game-changing real-time application for Grab
Be responsible for the definition and evolution of platform availability and reliability SLAs (dashboards
participate in and evolve on-call and incident response procedures for the team
How You'll Work.
Team & Collaboration
Work with a team of cross functional engineers; work with (and build over the platforms provided by) our infrastructure team; directly helping our internal users develop the next game-changing real-time application for Grab
Communication Scope
evangelizing for our platform and products
Process & Methodology
leading teams or projects
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 the Team The Streaming Data team (a.k.a. "Coban") strives to ensure seamless and secure real-time access to the continuous events or "streams", serving as Grab's unified, common access pattern for real-time data. We build the infrastructure and platform for writing, consuming real-time data, and provide a cost-effective, managed "NoOps" service for all product teams to leverage. We work with our sister teams in DataTech to provide integrated data platforms that ensure everyday opportunities with big data innovation. Get to Know the Role Our Lead Engineers are expected to lead mid to large sized projects across a Tech Family (or vertical) and to be a technical mentor and go-to person in a team of 3 to 5 senior engineers. As a Lead Software Engineer, your role calls for being able to work across our stack, from Flink and Kafka to AWS cloud infrastructure, Kubernetes, observability and SRE, not only in practical hands-on building of systems and code, but also driving higher-level discussions around architecture and design. You will work onsite at Grab Vietnam office, either CMC Creative Space, D7 (HCMC) or PVI Building (Hanoi) and report to Senior Data Engineering Manager, who is based in Singapore. The Critical Tasks You Will Perform * Work with a team of cross functional engineers to make Stream Processing easy, reliable, efficient and secure across Grab, through self-served capabilities baked in our platform. * Create the abstractions, modules and libraries to lower the barrier of entry to Stre
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