Qureos Mentor

Citylogix

<div>About Citylogix
Citylogix is a leading provider of data and analytics for smart city transportation infrastructure, leveraging LiDAR, 360&deg; imaging, and AI-powered analytics to create detailed digital maps, and provide predictive analytics for proactive asset management. 
About the role
This position focuses on architecting and maintaining the cloud infrastructure that powers mission-critical data pipelines. The DevOps Engineer will be responsible for designing highly available, secure, and cost-efficient systems that process vast amounts of data seamlessly. The role demands expertise in modern cloud technologies and infrastructure automation to support dynamic scaling requirements. The ideal candidate will implement robust monitoring and deployment systems that ensure zero-downtime operations while maintaining strict security compliance. This position offers the opportunity to work with cutting-edge infrastructure technologies at enterprise scale. 
What you'll do<ul><li>
Build and manage cloud infrastructure (AWS/Azure/GCP)</li><li>
Implement Infrastructure as Code and GitOps practices</li><li>
Design container orchestration with Kubernetes</li><li>
Set up comprehensive monitoring and alerting systems</li><li>
Implement security controls and compliance measures</li><li>
Optimize infrastructure costs and performance</li><li>
Create CI/CD pipelines for automated deployments</li></ul>
Qualifications<ul><li>
3+ years in DevOps/SRE roles</li><li>
Strong expertise in cloud platforms and IaC tools</li><li>
Experience with Kubernetes and containerization</li><li>
Knowledge of monitoring tools (Datadog, Prometheus)</li><li>
Understanding of security best practices</li></ul></div>

DevOps Engineer

<div>About Citylogix
Citylogix is a leading provider of data and analytics for smart city transportation infrastructure, leveraging LiDAR, 360&deg; imaging, and AI-powered analytics to create detailed digital maps, and provide predictive analytics for proactive asset management. 
About the role
The DataOps Engineer position is central to developing sophisticated data processing pipelines that handle diverse data formats and volumes. This role involves designing and implementing scalable ETL/ELT workflows using modern big data frameworks and orchestration tools. The engineer will create reusable components and optimize processing efficiency to meet demanding performance requirements. The position requires deep technical expertise in distributed systems and data processing patterns. The successful candidate will work at the intersection of data engineering and operations, ensuring pipelines are both functionally robust and operationally excellent. 
What you'll do<ul><li>
Implement orchestration with Airflow/Prefect</li><li>
Build reusable components and shared libraries</li><li>
Optimize processing performance and costs</li><li>
Manage schema evolution and data versioning</li><li>
Integrate diverse data sources and formats</li><li>
Create monitoring dashboards and metrics</li></ul>
Qualifications<ul><li>
3+ years building production data pipelines</li><li>
Expertise in big data frameworks (Spark, Hadoop)</li><li>
Experience with workflow orchestration tools</li><li>
Strong Python/Scala/Java programming skills</li><li>
Understanding of distributed systems</li></ul></div>

DataOps Engineer

<div>About Citylogix
Citylogix is a leading provider of data and analytics for smart city transportation infrastructure, leveraging LiDAR, 360&deg; imaging, and AI-powered analytics to create detailed digital maps, and provide predictive analytics for proactive asset management. 
About the role
We&rsquo;re hiring a Data Quality Engineer to ensure the accuracy, reliability, and performance of our data pipelines and data platforms. In this role, you&rsquo;ll build automated test frameworks, implement end-to-end and integration testing, and create data validation systems that protect production data at scale. You&rsquo;ll work closely with Data, Platform, and Engineering teams to define quality gates, monitor data in real time, and catch anomalies before they affect analytics, reporting, or customer-facing systems. 
What you'll do<ul><li>
Develop automated testing for all pipeline components</li><li>
Implement end-to-end system and integration testing</li><li>
Create data validation and integrity frameworks</li><li>
Design performance and load testing procedures</li><li>
Build real-time quality monitoring systems</li><li>
Test features before production deployment</li><li>
Investigate and resolve data discrepancies</li></ul>
Qualifications<ul><li>
3+ years in QA/testing roles, preferably with data systems</li><li>
Experience with test automation frameworks</li><li>
Knowledge of data validation techniques</li><li>
Familiarity with performance testing tools</li><li>
Strong analytical and troubleshooting skills</li></ul></div>

Data Quality Engineer (Data Pipelines & Automation)

Join Citylogix and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Citylogix

ABOUT_COMPANY

DevOps Engineer

DataOps Engineer

Data Quality Engineer (Data Pipelines & Automation)