DevOps Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in Spain. As a DevOps Engineer, you will play a key role in building, maintaining, and optimizing cloud-native infrastructure that supports high-availability digital platforms serving global audiences.

Working within a fully remote and fast-paced environment, you will help drive automation, scalability, and operational excellence across modern cloud ecosystems. This position offers the opportunity to work with cutting-edge technologies including Kubernetes, AWS, GCP, Terraform, and CI/CD automation tools. You will collaborate closely with software engineers to streamline deployments, improve system reliability, and enhance overall platform performance.

The role

combines infrastructure engineering, automation, monitoring, and production support, making it ideal for professionals who enjoy solving complex technical challenges. If you are passionate about cloud technologies, continuous improvement, and building resilient systems at scale, this opportunity offers significant ownership and growth potential. Accountabilities Design, implement, and maintain scalable Kubernetes environments across cloud platforms, ensuring reliability, security, and performance.

Develop and manage Infrastructure as Code (IaC) solutions using tools such as Terraform, Helm, and Ansible. Build, optimize, and maintain CI/CD pipelines to support efficient and reliable software delivery processes. Implement and manage monitoring, logging, and alerting systems to proactively identify and resolve operational issues.

Support and maintain critical infrastructure components, including PostgreSQL databases and Kafka environments. Automate operational tasks, workflows, and infrastructure processes using scripting languages such as Python and Bash. Troubleshoot and resolve production incidents across cloud, containerized, and distributed environments.

Collaborate closely with development teams to improve deployment strategies, platform reliability, and operational efficiency. Contribute to infrastructure security, scalability, and best practices across all environments. Participate in on-call rotations and provide production support when required.

Requirements

• 3–6 years of professional experience in DevOps, Site Reliability Engineering (SRE), Cloud Infrastructure, or related roles.
• Strong hands-on experience managing Kubernetes clusters in production environments.
• Solid knowledge of cloud platforms, particularly AWS and/or Google Cloud Platform (GCP).
• Advanced understanding of Docker and containerization technologies.
• Practical experience with Infrastructure as Code tools such as Terraform, Helm, and Ansible.
• Proven ability to build and maintain CI/CD pipelines and deployment automation workflows.
• Strong scripting skills using Python and Bash for automation and operational tasks.
• Experience with monitoring, logging, and observability tools, including Prometheus, OpenSearch, ELK Stack, or similar solutions.
• Good understanding of PostgreSQL database administration and Kafka operations.
• Strong troubleshooting, analytical, and problem-solving capabilities in complex production environments.
• Excellent communication and collaboration skills, with the ability to work effectively in distributed teams.
• Self-motivated and capable of working independently in a fast-moving remote environment.
• Commitment to continuous learning and staying current with modern DevOps and cloud-native technologies.

Benefits

• Competitive salary package. Performance-based bonus opportunities. Fully remote work environment with flexibility across Europe. Opportunity to work with modern cloud-native technologies and large-scale infrastructure. Collaborative, high-performing engineering culture focused on innovation and continuous improvement. Professional development and ongoing learning opportunities. Exposure to cutting-edge DevOps, automation, and cloud engineering practices. Supportive and flexible working environment that promotes work-life balance. High levels of ownership and autonomy in technical decision-making. Career growth opportunities within a rapidly evolving technology-driven organization. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.