Company 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.
Job Description
Get to Know the Team
The Streaming Data team (aka "Coban") strives to enable seamless and secure real-time access to the events or "streams", serving as Grab's unified, common access pattern for real-time data. The functional areas this team covers are streaming (Kafka), stream processing (Flink, Flink SQL, Kafka Connect), Change Data Capture, near real-time lake ingestion, stream exploration (Zeppelin, Flink SQL Gateway), and an in-house control plane for tenancy and resource management.
Some examples of the team's work are shared publicly on the Grab Engineering blog:
- Making Flink deployments safer through platform guardrails and production deployment patterns (Safer deployment of streaming applications).
- Improving Flink release confidence with shadow testing (Enhancing Flink deployment with shadow testing).
- Strengthening real-time Kafka data quality with syntactic and semantic stream contracts (Real-time data quality monitoring).
- Using machine learning to make Flink autoscaling more predictable and reliable (Machine-learning predictive autoscaling for Flink).
These are examples of the platform thinking this role will contribute to: turning complex real-time infrastructure problems into reliable, self-service capabilities for Grab teams.
Get to Know the Role
Here at Grab, we expect our Senior Engineers to significantly and autonomously contribute to their team, designing, shipping, operating, and monitoring software systems in a high-quality manner. As a Senior DevOps Engineer, your role would involve working on the systems within your team's domain. You would need to consider the appropriate architectural patterns, code design, and infrastructure options. Your goal is to ensure that you deliver a system that is secure, reliable, testable, maintainable, extensible, and well-tested.
You will work onsite at Grab Vietnam office (CMC Creative Space) in HCMC and report to Senior Data Engineering Manager, who is based in Singapore.
Why This Role Matters
- In an agentic world, high-quality real-time signals are becoming even more critical to drive automation, decision-making, and measurable business impact.
- Apache Flink is a critical real-time infrastructure layer for Grab. By making stream processing easier, safer, and more self-serve, this role helps unlock more real-time signals and turn data into business value across Grab. As Grab embraces agentic engineering, we welcome builders with strong data infrastructure experience and a passion for stream processing to join us.
The Critical Tasks You Will Perform
- Work with a team of engineers to make Stream Processing easy, reliable, efficient and secure across Grab, via self-served capabilities baked in our platform.
- Orchestrate and operate the Cloud infrastructure and Compute cluster that lays the foundation for the systems, maintaining the uptime for many critical services.
- Improve the automation and self-served capabilities that enable our small team to support 1000+ Stream Processing applications in Grab.
- Weigh in on design questions around platformization, infrastructure, observability and security.
- Contribute to the use of Stream Processing across Grab, by evangelizing for our platform and products, and by directly helping our internal users design and build the next game-changing real-time application for Grab.
- 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.
- Participate in and evolve on-call and incident response procedures for the team.
Qualifications
What Essential Skills You Will Need
- 4+ years of experience in Kubernetes, Docker and Cloud infrastructure at scale.
- Familiarity with Infrastructure-as-Code like Terraform.
- Experience with CI/CD pipelines design and implementation
- Proficient with at least one programming language: Python, Golang, Java, Scala.
- Experience with Observability and Monitoring stack (LGTM, ELK, Datadog, or similar)
- Strong English communication skills, you will work together with peers and engineering teams across regional Tech offices.
- Experience with big-data systems is a big plus (especially Kafka and Flink)
- You are excited to learn and apply new technologies.
The nice-to-haves:
- Experience with AWS, Gitlab.
- Understanding of K8s networking concepts (service mesh, service discovery)
- Understanding of security concept and practices, secret managements, encryption, OAuth, RBAC/ABAC
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.