Lead Software Engineer, Flink

Lead Software Engineer, Flink

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.

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 include:

• Working 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.
• Creating 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.
• Improving the automation and self-served capabilities that allow our small team to support 1000+ Stream Processing applications in Grab.
• Weighing in on design questions around platformization, infrastructure, observability and security, and working with (and build over the platforms provided by) our infrastructure team.
• Driving 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.
• Being responsible for the definition and evolution of platform availability and reliability SLAs (dashboards, compliance), and participating in and evolving on-call and incident response procedures for the team.

Essential skills you will need include:

• 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 and programming experience with Scala or Java. (This role does involve being able to be in the trenches!).
• You are excited to learn and apply new technologies.

The nice-to-haves include:

• Experience with Kafka Connect, Kubernetes, Go, Gitlab CI, AWS, Terraform.
• Experience with a data warehouse like Spark

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.