Senior Software Engineer (DevOps)

GoTo Group; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A leading tech company in Jakarta is seeking a skilled engineer to join their Data Science Platform team. You will manage infrastructure, streamline model development, and mentor team members. The ideal candidate has 4-6 years of DevOps experience and proficiency in containerization with Docker, Kubernetes, and languages such as Golang or Java. This role offers opportunities for collaboration and innovation in a supportive environment focused on data-driven decisions.

Qualifications

• 4-6 years of relevant DevOps engineering experience.
• Solid Computer Science fundamentals.
• Experience with distributed systems and backend systems.

Responsibilities

• Write scalable and maintainable code.
• Manage data science infrastructure for model deployment.
• Mentor team members and conduct code reviews.
• Containerize and deploy microservices on Kubernetes.

Skills

DevOps engineering

Infrastructure management

Programming in Golang, Java, or Python

Containerization with Docker and Kubernetes

IAC tools: Terraform, Ansible

Analytical skills

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

As Nasi Goreng is to the people of Indonesia, engineers are sustaining and nourishing the longevity of our business from the inside out. As our engineer, you'll be an integral player within the Data Science Platform team. You'll ensure our data scientists in the various sub-teams have all the resources they require to achieve their goals. You’ll employ your stellar software engineering skills and expertise in the infrastructure operations field in efforts to productionize their processes. Your work will directly influence the performance of our Machine Learning and Data Science models throughout the company and help in taking data oriented decisions in different interests of business growth, risk etc.

What You Will Do

• Write great quality, scalable, and maintainable code
• Manage data science infrastructure to streamline model development and deployment.
• Build or setup tooling for feature engineering for near real-time models.
• Monitor and provide support to infrastructure and production models
• Mentor team members by conducting code reviews and knowledge sharing
• Containerisation and deployment of microservices on Kubernetes.
• Collaborate with the data science team and business teams to understand their requirements

What You Will Need

• At least 4-6 years of relevant devops engineering experience with solid Computer Science fundamentals
• Experience working in IAC tools like Terraform and Ansible
• Good understanding of containerisation, Docker and Kubernetes
• Experience in any one of the programming languages Golang, Java or python.
• Experience in distributed systems, and backend systems engineering.
• Solid understanding of distributed system fundamentals and ability to troubleshoot issues in a larger distributed infrastructure, including concepts from unit-level (e.g. operating system, resources management) to systems level (e.g. networking, observability, high-availability).
• All professional experience within a Linux / Unix environment
• Strong analytical skills, the ability to work effectively in cross-functional teams, meticulous attention to detail, self-motivation, adaptability, and a strong sense of ownership

About the Team

The Data Science Engineering team is a mix of software engineers and data scientists based in Bangalore and Jakarta. We build and maintain the tools and infrastructure that help data science teams across GoTo Financial work efficiently and at scale. We collaborate closely with teams like DevOps, Data Engineering, Product Engineering, and Data Science to deliver reliable systems that support key areas such as growth and risk. As a team, we value collaboration, learning, and shared ownership. We regularly exchange ideas, support each other, and keep improving the platforms that power GoTo Financial’s data-driven decisions.