Senior DevOps Engineer
Job Summary
Job Description
As a Data Science Engineer at GoTo Financial, you will be a key player in the Data Science Engineering team, ensuring Data Scientists have the resources they need. You will leverage your software engineering skills and infrastructure operations expertise to productionize their processes, impacting the performance of Machine Learning and Data Science models company-wide and driving data-oriented decisions for business growth and risk management. Your responsibilities include writing scalable and maintainable code, managing data science infrastructure for streamlined model development and deployment, building tooling for feature engineering, monitoring production models, mentoring team members, containerizing microservices on Kubernetes, and collaborating with data science and business teams.
Must have:
- 3-6 years of relevant DevOps engineering experience
- Solid Computer Science fundamentals
- Experience with IAC tools (Terraform, Ansible)
- Good understanding of Docker and Kubernetes
- Experience in Golang, Java, or Python
- Experience in distributed systems and backend engineering
- Solid understanding of distributed system fundamentals
- Experience in Linux/Unix environments
- Strong analytical skills and cross-functional collaboration
- Strong interpersonal and communication skills
16 skills required
Job Details
As Nasi Goreng is to the people of Indonesia, engineers are to GoTo Financial: sustaining and nourishing the longevity of our business from the inside out. As our Data Science Engineer, you'll be an integral player within the Data Science Engineering team. You'll ensure our Data Scientists in the various GoToFinancial 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 3-6 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
- Strong interpersonal and communication skills
Our Data Science Engineering team is a group of talented data scientists and software engineers stationed in Bangalore and Jakarta. Enabling data science teams for the next 100 million GoTo users is our top priority; our efforts will build the confidence of users in the GoTo ecosystem. By doing this we impact different business verticals across the whole GoTo ecosystem like growth, risk management etc.
We work and collaborate with different teams (DevOps, Data Engineering, Product Engineering, Data Science etc) across the GoTo ecosystem to build the most reliable and feature rich platform for GoTo financial data scientists.
Most recently, our team worked on a model to detect ATO using different technologies like distributed graphs, Kafka, Postgres and XGboost data science models. Currently we are working with the data science team on the next iteration of the ATO Detection model for feature engineering using billions of data points in near real time.
We’re a high-performing, tight-knit team who are committed to the safety and growth of the company, as well as each other’s personal growth and wellbeing. We also have weekly showcase sessions where we present our latest tool we are using and product we are building.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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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.
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