Senior DevOps Engineer

We are seeking a Senior DevOps Engineer with strong experience in designing, deploying, and maintaining

scalable data infrastructure and CI/CD pipelines. You will play a key role in ensuring the stability, efficiency,

and automation of data operations across enterprise environments. This role requires a balance of hands-

on technical expertise, DevOps mindset, and strong collaboration skills across cross-functional and cross-

country teams.

Key Responsibilities

• Design, enhance, and maintain CI/CD pipelines for Data Warehouse and DataMart environments

using tools such as GitLab CI/CD, Jenkins, or Azure DevOps, enabling automated and consistent

deployment of schema and configuration changes across multiple environments.

• Automate operational processes using scripting and configuration management tools such as

Ansible, Bash, and Python, ensuring efficient provisioning, patching, and maintenance of DWH

servers and related components.

• Implement and optimize monitoring systems using Grafana, Prometheus, or equivalent tools to

provide real-time insights into system performance, resource utilization, and data workflows.

Configure alerting mechanisms and create custom scripts to improve visibility and reliability.

• Collaborate closely with Data Engineering and Infrastructure teams to streamline data pipelines,

improve deployment efficiency, and ensure high system availability.

• Continuously identify and implement automation opportunities to reduce manual intervention,

improve system resilience, and accelerate delivery cycles.

• Maintain infrastructure-as-code practices and promote DevOps best practices across the data

platform ecosystem.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field.

• Minimum 5 years of experience in DevOps, Data Engineering, or Data Infrastructure roles, with a

strong background in automation and system reliability.

• Proven experience in designing and managing CI/CD pipelines using GitLab CI/CD, Jenkins, or

similar tools.

• Hands-on experience in Linux administration and scripting (Bash, Python).

• Solid understanding of Data Warehouse concepts and environments (e.g., Snowflake, Redshift,

BigQuery, Azure Synapse, Teradata, or equivalent).

• Experience managing monitoring and alerting systems (Grafana, Prometheus, CloudWatch, etc.).

• Familiarity with containerization and orchestration tools such as Docker and Kubernetes is a

strong plus.

• Experience working in cross-functional and/or cross-country teams within enterprise

environments.

• Fluent in English, both written and verbal.