DataOps Engineer Job at Paymentology

DataOps Engineer

Paymentology

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Category:
IT - Software Development

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Not provided

Salary:

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Job Description:

At Paymentology, we’re redefining what’s possible in the payments space. As the first truly global issuer-processor, we give banks and fintechs the technology and talent to launch and manage Mastercard and Visa cards at scale across more than 60 countries. Our advanced, multi-cloud platform delivers real-time data, unmatched scalability, and the flexibility of shared or dedicated processing instances. It’s this global reach and innovation that sets us apart. We’re looking for a DataOps Engineer to join our Data Engineering team and help build a modern data platform from the ground up. This is a greenfield opportunity focused on infrastructure, automation, and observability, playing a critical role in enabling reliable, scalable, and secure data systems. You’ll work closely with data engineers and senior technical stakeholders to design, implement, and operate the foundations of our data stack. This role is ideal for a mid-level engineer with strong DevOps fundamentals who is eager to deepen their expertise in data platforms, cloud infrastructure, and observability within a high-impact, global fintech environment.

Job Responsibility:

Design and implement cloud infrastructure for a modern data platform using Infrastructure as Code, with a strong focus on scalability, security, and reliability
Build and maintain CI/CD pipelines that support data engineering workflows and infrastructure deployments
Implement and operate observability solutions including monitoring, logging, metrics, and alerting to ensure platform reliability and fast incident response
Collaborate closely with data engineers to translate platform and workflow requirements into robust infrastructure solutions
Apply best practices for availability, disaster recovery, and cost efficiency, while documenting infrastructure patterns and operational procedures

Requirements:

3-5 years of hands-on experience in DevOps, Platform Engineering, or DataOps roles
Experience supporting or contributing to data platforms or data infrastructure projects
Hands-on proficiency with Infrastructure as Code, particularly Terraform
Experience working with AWS or GCP and common cloud architecture patterns
Practical experience or strong understanding of Kubernetes and containerised workloads
Familiarity with observability tooling across monitoring, logging, metrics, and alerting
Strong scripting skills in Python, Bash, or GoLang to automate operational processes
Excellent problem-solving skills and the ability to work effectively in a collaborative, fully remote environment
A strong inclination to develop DataOps and MLOps knowledge and capabilities

Nice to have:

Exposure to modern data engineering tools such as dbt, Airflow, Apache Spark, or similar technologies is an advantage

Additional Information:

Job Posted:
February 16, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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