Senior Software Engineer - Data Platform (Streaming)

6 Months ago • 4 Years + • Data Analyst

Job Details

About the Role

You've got an appointment, so you open your Gojek app to order a ride. Behind the scenes, we run numerous data streaming jobs and machine learning models within seconds to provide you and our partners with the best possible experience. However, managing the underlying data engineering and science infrastructure in production is more challenging than it should be. That's where our team comes in. Our promise to business users, data scientists, and data engineers is simple: focus on your core responsibilities while we handle the complex engineering problems. 

This role is for the Platform Engineering team under Gojek's Data Platform vertical. You’ll be responsible for building, shipping, and growing platform products, which are core pillars of data engineering. The roles comprise responsibilities for products like data processing, authentication/authorisation, infrastructure, Observation, orchestration, and more

What You Will Do

    • Code, Design, prototype, perform reviews and consult in building highly scalable, reliable, and fault-tolerant systems
    • Containerisation and deployment of microservices on Kubernetes
    • Auto-scaling and monitoring performance of the streaming Infrastructure and applications by using Prometheus and Grafana or similar tools
    • Collaborate with the team to ensure that the service level objectives and agreements are achieved
    • Communicate and collaborate effectively with product, data science teams
    • Continue to stay abreast of the latest technologies in Event processing and Big Data space to inform/suggest new technologies and best practices to trial
    • Mentor and guide other engineers in the team

What You Will Need

    • At least 4+ years of backend engineering experience, with Java, Golang, etc
    • Experience with containerization and DevOps, including Docker and Kubernetes
    • Experience with Kafka and stream processing like Flink or Spark Streaming
    • Must have hands-on experience using any of the cloud platforms (AWS, GCP, Azure), with thorough knowledge of cloud concepts
    • Demonstrated ability to take initiative and accountability for achieving results
    • Strong interpersonal and communication skills
    • Passion for learning new things and solving complex engineering blockers
About the Team

We are a team of developers, designers and product managers with diverse academic, professional and personal backgrounds but united by the passion to enrich Data Platform & Analytics at Gojek through sound methods and ease of use. Working alongside the Product Managers, BI Analytics and Product Engineers, we are predominantly concerned with utilizing and translating data into critical information that can be used to make sound business decisions. 

This includes gathering any new data points, and working closely with various business teams to capture, connect, and convert any data changes into useful knowledge in guiding our next steps to create a meaningful business impact.

Combating remote work has brought us even closer, with frequent catch-ups over tea and sharing ways we have been keeping ourselves sane. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for reading, gaming, and drinking lots of coffee. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!

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About The Company

GoTo is the largest technology group in Indonesia, combining on-demand and financial services through the Gojek and GoTo Financial brands. It is the first platform in Southeast Asia to host these two essential use cases in one ecosystem, capturing a majority of Indonesian consumer household expenditure.


GoTo’s mission is to “Empower Progress” by offering an unparalleled selection of goods and services through a comprehensive merchant and partner network and promoting financial inclusion through its leading payments and financial services business.

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

Jakarta, Jakarta, Indonesia (On-Site)

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