Mid-Level DevOps Engineer [Remote]
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Mid-Level DevOps Engineer in Italy.
This role sits at the core of a fast-paced, cloud-native engineering environment where scalability, automation, and reliability are essential to daily operations. You will be responsible for maintaining and evolving large-scale Kubernetes-based infrastructure across AWS and GCP, supporting high-traffic, data-driven platforms. The position offers strong exposure to modern DevOps practices, including CI/CD automation, Infrastructure as Code, and observability at scale. You will collaborate closely with development teams to improve deployment workflows and ensure seamless production performance. The environment is highly collaborative, engineering-led, and focused on continuous improvement and operational excellence. This is an opportunity to work on complex distributed systems while driving meaningful impact across global digital products.
Accountabilities
• Design, deploy, and maintain scalable Kubernetes infrastructure using GKE and EKS in production environments.
• Develop and manage Infrastructure as Code using Terraform, Helm, and Ansible to ensure consistency and automation.
• Build, optimize, and maintain CI/CD pipelines to enable fast, secure, and reliable deployments.
• Implement robust monitoring, logging, and alerting systems using modern observability tools.
• Support and troubleshoot PostgreSQL and Kafka environments to ensure stability and performance.
• Automate operational tasks and workflows using Python and Bash scripting.
• Diagnose and resolve production issues across cloud and containerized environments.
• Collaborate with software engineers to improve deployment strategies and operational efficiency.
• Participate in on-call rotations and provide reliable production support when needed.
Requirements:
• 3–6 years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
• Strong hands-on experience managing Kubernetes in production environments.
• Solid expertise with AWS and/or GCP cloud platforms.
• Strong knowledge of Docker and containerization technologies.
• Proven experience with Terraform, Helm, and Ansible for infrastructure automation.
• Experience designing and maintaining CI/CD pipelines and deployment workflows.
• Strong scripting skills in Bash and Python for automation and tooling.
• Experience with monitoring and logging tools such as Prometheus and ELK/OpenSearch.
• Good understanding of PostgreSQL and Kafka operations in production contexts.
• Strong problem-solving, communication, and troubleshooting abilities.
• Ability to work independently in a fast-moving, distributed engineering environment.
Benefits:
• Competitive salary with performance-based bonus structure.
• Fully remote work setup across Europe/UK regions.
• Opportunity to work with modern cloud-native and containerized technologies.
• Strong engineering culture focused on collaboration and innovation.
• Continuous learning and professional development opportunities.
• Flexible and supportive work environment.
• Exposure to large-scale, high-availability systems and global platforms.
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!
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-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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This role sits at the core of a fast-paced, cloud-native engineering environment where scalability, automation, and reliability are essential to daily operations. You will be responsible for maintaining and evolving large-scale Kubernetes-based infrastructure across AWS and GCP, supporting high-traffic, data-driven platforms. The position offers strong exposure to modern DevOps practices, including CI/CD automation, Infrastructure as Code, and observability at scale. You will collaborate closely with development teams to improve deployment workflows and ensure seamless production performance. The environment is highly collaborative, engineering-led, and focused on continuous improvement and operational excellence. This is an opportunity to work on complex distributed systems while driving meaningful impact across global digital products.
Accountabilities
• Design, deploy, and maintain scalable Kubernetes infrastructure using GKE and EKS in production environments.
• Develop and manage Infrastructure as Code using Terraform, Helm, and Ansible to ensure consistency and automation.
• Build, optimize, and maintain CI/CD pipelines to enable fast, secure, and reliable deployments.
• Implement robust monitoring, logging, and alerting systems using modern observability tools.
• Support and troubleshoot PostgreSQL and Kafka environments to ensure stability and performance.
• Automate operational tasks and workflows using Python and Bash scripting.
• Diagnose and resolve production issues across cloud and containerized environments.
• Collaborate with software engineers to improve deployment strategies and operational efficiency.
• Participate in on-call rotations and provide reliable production support when needed.
Requirements:
• 3–6 years of experience in DevOps, SRE, or cloud infrastructure engineering roles.
• Strong hands-on experience managing Kubernetes in production environments.
• Solid expertise with AWS and/or GCP cloud platforms.
• Strong knowledge of Docker and containerization technologies.
• Proven experience with Terraform, Helm, and Ansible for infrastructure automation.
• Experience designing and maintaining CI/CD pipelines and deployment workflows.
• Strong scripting skills in Bash and Python for automation and tooling.
• Experience with monitoring and logging tools such as Prometheus and ELK/OpenSearch.
• Good understanding of PostgreSQL and Kafka operations in production contexts.
• Strong problem-solving, communication, and troubleshooting abilities.
• Ability to work independently in a fast-moving, distributed engineering environment.
Benefits:
• Competitive salary with performance-based bonus structure.
• Fully remote work setup across Europe/UK regions.
• Opportunity to work with modern cloud-native and containerized technologies.
• Strong engineering culture focused on collaboration and innovation.
• Continuous learning and professional development opportunities.
• Flexible and supportive work environment.
• Exposure to large-scale, high-availability systems and global platforms.
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!
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-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
Apply tot his job
Apply To this Job