Senior Site Reliability Engineer (EMEA)

Jobgether Emea
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AI Summary

Lead the design, deployment, and operation of complex lab environments for hands-on cybersecurity training and simulations. Architect hybrid cloud and on-premises infrastructure, including secure networks and lab environments. Collaborate with cross-functional teams to optimize performance, cost, and reliability.

Key Highlights
Design and architect complex global lab environments using OpenStack and hybrid cloud solutions
Develop and implement infrastructure standards, patterns, and best practices for lab deployment
Implement automation using Infrastructure-as-Code tools (Terraform, Ansible) and create self-service capabilities for teams
Technical Skills Required
OpenStack Terraform Ansible Linux Windows Server TCP/IP routing protocols VPNs firewalls network security Docker Kubernetes
Benefits & Perks
Competitive compensation
Flexible work arrangements
Fully remote work
Professional development and training opportunities
Paid time off and home office support

Job Description


This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Site Reliability Engineer in EMEA.

This role offers an exciting opportunity to lead the design, deployment, and operation of complex, scalable lab environments that power hands-on cybersecurity training and simulations. You will architect hybrid cloud and on-premises infrastructure, including secure, high-performance networks and lab environments that support thousands of concurrent users. This senior-level position requires a combination of deep technical expertise, strategic leadership, and hands-on engineering skills, enabling realistic and reliable training experiences. You will collaborate closely with platform architects, security researchers, and engineering teams to optimize performance, cost, and reliability. The role emphasizes automation, infrastructure-as-code, and observability, providing the chance to influence best practices across the organization while driving large-scale infrastructure projects.

Accountabilities

  • Design and architect complex global lab environments using OpenStack and hybrid cloud solutions, ensuring scalability, resilience, and security.
  • Develop and implement infrastructure standards, patterns, and best practices for lab deployment.
  • Optimize lab performance and resource utilization for thousands of concurrent users, including workspace-based and private lab sessions.
  • Lead infrastructure migrations, cost optimization initiatives, and high-availability implementations.
  • Implement automation using Infrastructure-as-Code tools (Terraform, Ansible) and create self-service capabilities for teams.
  • Establish observability, monitoring, logging, and disaster recovery procedures to maintain uptime and performance.
  • Design network architectures, including VPNs, VLANs, software-defined networking, and security controls appropriate for vulnerable lab environments.
  • Collaborate with cross-functional teams, provide mentorship, and contribute to architectural reviews and process improvements.

Requirements

  • 4+ years of experience in SRE, Site Reliability Engineering, or Infrastructure Architecture roles.
  • 2+ years in a senior or lead technical role with architectural responsibilities.
  • Production experience with OpenStack and hybrid cloud platforms (AWS, Azure, GCP).
  • Advanced knowledge of Linux and Windows Server environments.
  • Expertise in networking, including TCP/IP, routing protocols, VPNs, firewalls, and network security.
  • Proficiency in Infrastructure-as-Code tools (Terraform, CloudFormation, ARM templates) and configuration management.
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Proven track record in large-scale distributed systems design, high availability, disaster recovery, and cost optimization.
  • Strong strategic thinking, analytical problem-solving, and proactive approach to infrastructure challenges.
  • Excellent communication and leadership skills, with experience mentoring engineers and driving technical standards adoption.
  • Background in cybersecurity, penetration testing, or vulnerability research environments is a plus.

Benefits

  • Competitive compensation and flexible work arrangements.
  • Fully remote work with flexible hours.
  • Opportunity to work on large-scale, high-impact cybersecurity lab environments.
  • Professional development and training opportunities.
  • Dynamic and inclusive global team environment.
  • Paid time off and home office support.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

By submitting an application to this posting, the applicant acknowledges that Jobgether will process their personal data as necessary to evaluate their candidacy, provide feedback, and, when appropriate, share relevant information with potential employers. Such processing is carried out on the basis of legitimate interest and pre-contractual measures in accordance with applicable data protection laws. The applicant may exercise their rights of access, rectification, erasure, and objection at any time as provided under the GDPR.

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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