Description :

About the Role :

As a DevOps Engineer (Data / ML Platform) at BalanceHero, you will design, build, and operate shared infrastructure and platform environments for Data Engineering and Machine Learning teams.

You will be responsible for the end-to-end Kubernetes-based Data / ML platform infrastructure, leveraging your experience in AWS infrastructure design and operations to continuously evolve the platform.

With consideration for security requirements and operational stability in a fintech environment, you will enable data and ML services to run in a stable, scalable, and reliable manner.

In the AI agent era, DevOps is no longer just about operating infrastructure.

This role requires an engineer who understands DevOps as a philosophy and process and can define and continuously improve the DevOps processes and platform operation model aligned with the companys technical direction.

About the Responsibilities :

- Design and operate infrastructure in AWS environments (IAM, networking, security, cost management, etc.)

- Configure infrastructure security including access control, network isolation, and data protection

- Build and operate production-grade Kubernetes (EKS) infrastructure for Data / ML platforms

- Design scalable and highly available infrastructure for large-scale data and ML workloads

- Design and build CI/CD pipeline architectures (infra / platform focused)

- Standardize and automate infrastructure using Infrastructure as Code (IaC)

- Build and improve platform operations based on GitOps workflows

- Design and operate observability systems including monitoring, logging, and alerting

- Handle incidents, improve performance, automate operations, and optimize costs

- Collaborate closely with Data Engineers and ML Engineers to continuously improve the platform

- Improve operational efficiency through AI/LLM-assisted automation

Requirements :

- 6+ years of experience as a DevOps, Cloud, or Platform Engineer

- Hands-on experience designing and operating AWS-based infrastructure

- Experience building and operating production-grade infrastructure on Kubernetes

- Experience managing and automating infrastructure using Infrastructure as Code (IaC) (e.g., Terraform)

- Experience designing and building CI/CD pipelines

- Strong Linux system operation and troubleshooting skills

- Strong collaboration and communication skills

- A proactive mindset toward automating repetitive operational tasks using AI-based tools

Preferred Qualification :

- Experience operating and improving data applications using Kafka, Kinesis, and Flink, including both AWS-managed services and on-premises environments.

- Experience operating infrastructure in fintech or financial services

- Experience operating large-scale or high-traffic production systems

- Understanding of security requirements in fintech service environments

- Interest or experience collaborating on Data / ML platform environments

- Interest in cost-efficient infrastructure operations

- Ability to communicate effectively in English

- Willingness to travel internationally