Lead Software Engineer, Flink
Lead Software Engineer, Flink
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Job Description
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 Grabs 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 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 infrastructure observability and security and work with (and build over the platforms provided by) our infrastructure team.
- Promote the use of Stream Processing across Grab by promoting for our platform and products and by directly helping our internal users develop the next game-changing real-time application for Grab.
- Oversee the definition and evolution of platform availability and reliability SLAs (dashboards compliance) and participate in and evolve on-call and incident response procedures for the team.
Qualifications :
What Essential Skills You Will Need
- 7 years leading teams or projects in software engineering data engineering or information security disciplines.
- Worked and operated Stream Processing pipelines in production.
- Hands-on competencies with Kafka Flink and/or programming experience with Scala/Java.
- You are excited to learn and apply new technologies.
The nice-to-haves:
- Experience with Kafka Connect Kubernetes Go Gitlab CI AWS Terraform.
- Experience with a data warehouse like Spark
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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
