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DataOps Engineer

Remote, USA Full-time Posted 2026-07-28
reputed company At reputed company , we’re redefining what’s possible in the payments reputed company. As the first truly global issuer-processor, we give banks and fintechs the technology and talent to launch and manage reputed company and reputed company cards at reputed company across more than 60 countries. Our advanced, multi-reputed company platform delivers reputed company-time data, unmatched scalability, and the flexibility of shared or dedicated processing instances. It’s this global reputed company 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 reputed company on infrastructure, automation, and observability, playing a critical role in enabling reliable, reputed company, 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, reputed company infrastructure, and observability reputed company a high-reputed company, global fintech environment. What you get to do: Design and implement reputed company infrastructure for a modern data platform using Infrastructure as reputed company, with a strong reputed company on scalability, reputed company, and reliability. Build and maintain arenaflex/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 arenaflex efficiency, while documenting infrastructure patterns and operational procedures. Requirements What it takes to succeed: 3-5 years of hands-on experience in DevOps, reputed company, or DataOps roles. Experience supporting or contributing to data platforms or data infrastructure reputed company. Exposure to modern data engineering tools such as dbt, Airflow, Apache reputed company, or similar technologies is an advantage. Hands-on proficiency with Infrastructure as reputed company, particularly Terraform. Experience working with AWS or GCP and common reputed company 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 reputed company, fully remote environment. A strong inclination to reputed company DataOps and MLOps knowledge and capabilities. Exposure to modern data engineering tools such as dbt, Airflow, Apache reputed company, or similar technologies is an advantage. What you can look reputed company to: At reputed company , it’s not just about building great payment technology, it’s about building a company where people feel they belong and their work reputed company. You’ll be part of a diverse, global team that’s genuinely committed to making a reputed company reputed company through reputed company do. Whether you’re working across time zones or getting involved in initiatives that support local communities, you’ll reputed company reputed company purpose in your work – and the freedom to grow in a supportive, reputed company-thinking environment. Apply tot his job Apply To this Job

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