Information Technology - Software Engineer

Accountabilities:

This role focuses on building, maintaining, and optimizing secure data engineering and cloud infrastructure solutions in distributed environments.

• Design, implement, and maintain scalable data engineering and DevSecOps solutions


• Support and optimize distributed query engines and modern data architectures


• Develop and maintain infrastructure automation and deployment workflows using Infrastructure-as-Code methodologies


• Manage and enhance Kubernetes-based containerized environments and cloud-native systems


• Configure, troubleshoot, and optimize platforms built on technologies such as Starburst Enterprise, Trino, or Presto


• Develop advanced Linux scripting solutions and support system administration activities within enterprise environments


• Implement and maintain data governance, access controls, and security best practices at scale


• Collaborate with engineering and operations teams to improve system reliability, scalability, and performance


• Monitor, troubleshoot, and resolve infrastructure and application performance issues


• Contribute to cloud platform management and automation initiatives across environments such as AWS or Azure


• Support continuous improvement of deployment processes, infrastructure security, and operational efficiency

Requirements

The ideal candidate combines strong cloud engineering expertise with hands-on experience in distributed data systems, automation, and infrastructure management.

• 3+ years of experience in Data Engineering and/or DevSecOps roles


• Strong hands-on experience with Starburst Enterprise, Trino, or Presto


• Strong experience with advanced Linux scripting and system administration


• Experience working with Red Hat Enterprise Linux and automation tools such as Ansible


• Experience with data table formats such as Iceberg, Hive, or similar technologies


• Solid understanding of distributed query engines and large-scale data architectures


• Hands-on experience with cloud platforms including Amazon Web Services or Microsoft Azure


• Practical experience with Kubernetes, Docker, and Infrastructure-as-Code tools such as Terraform


• Proficiency in at least one programming language such as Python


• Experience implementing enterprise-level security, governance, and access control practices


• Strong troubleshooting, debugging, and performance tuning skills


• Strong analytical mindset and ability to work effectively in collaborative technical environments


• Excellent communication and problem-solving abilities

Benefits:

• Fully remote work environment with flexible working arrangements


• Opportunity to work on enterprise-scale cloud and data engineering projects


• Exposure to cutting-edge cloud-native, Kubernetes, and distributed data technologies


• Collaborative environment with highly skilled engineering teams


• Opportunities for technical growth and continuous learning


• Participation in modern DevSecOps and infrastructure automation initiatives


• Dynamic and innovation-driven work culture


• Long-term career development opportunities within advanced technology environments


• Flexible and supportive remote-first workplace

This listing is from ats_lever. View original listing ↗