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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Site Reliability Engineer (SRE) in Ireland.
Join a cutting-edge engineering environment shaping the future of AI cloud infrastructure at global scale. This role offers the opportunity to work on highly distributed, high-performance systems powering next-generation AI and machine learning workloads for enterprises and developers worldwide. As a Senior Site Reliability Engineer, you will play a critical role in ensuring reliability, scalability, and operational excellence across complex cloud platforms. You’ll collaborate with top-tier engineers to solve challenging infrastructure problems involving compute, networking, storage, orchestration, and automation technologies. The environment is fast-paced, innovation-driven, and built around ownership, continuous learning, and impactful engineering. This is an excellent opportunity for experienced SRE professionals eager to contribute to mission-critical AI infrastructure while advancing their expertise in modern cloud-native systems.
Accountabilities
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.
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.
Join a cutting-edge engineering environment shaping the future of AI cloud infrastructure at global scale. This role offers the opportunity to work on highly distributed, high-performance systems powering next-generation AI and machine learning workloads for enterprises and developers worldwide. As a Senior Site Reliability Engineer, you will play a critical role in ensuring reliability, scalability, and operational excellence across complex cloud platforms. You’ll collaborate with top-tier engineers to solve challenging infrastructure problems involving compute, networking, storage, orchestration, and automation technologies. The environment is fast-paced, innovation-driven, and built around ownership, continuous learning, and impactful engineering. This is an excellent opportunity for experienced SRE professionals eager to contribute to mission-critical AI infrastructure while advancing their expertise in modern cloud-native systems.
Accountabilities
- Ensure high availability, scalability, fault tolerance, and uninterrupted operation of critical cloud infrastructure and services.
- Design, implement, and improve CI/CD pipelines and automation workflows to enhance deployment efficiency and system reliability.
- Manage and optimize containerized environments and orchestration systems using Kubernetes, Docker, Helm, and related technologies.
- Build and maintain infrastructure-as-code solutions using tools such as Terraform, Ansible, or Salt.
- Monitor system health, troubleshoot production incidents, and proactively improve performance, observability, and resilience.
- Collaborate with cross-functional engineering teams to solve complex infrastructure and backend reliability challenges.
- Contribute to the design and operation of high-load distributed systems supporting AI and machine learning workloads.
- Continuously evaluate and implement modern cloud technologies and operational best practices.
- Strong professional experience as a Site Reliability Engineer, DevOps Engineer, or Infrastructure Engineer in cloud-native environments.
- Solid programming skills in languages such as Go, Python, C++, or similar technologies.
- Strong understanding of algorithms, data structures, operating systems, and distributed computing principles.
- Deep hands-on expertise with Unix/Linux systems administration and network technologies.
- Proven experience with containerization and orchestration tools including Docker, Kubernetes, and Helm.
- Experience with configuration management and infrastructure automation tools such as Terraform, Ansible, or Salt.
- Familiarity with CI/CD processes, automation frameworks, and scalable cloud infrastructure operations.
- Strong troubleshooting, analytical, and problem-solving capabilities in high-performance production environments.
- Excellent collaboration and communication skills within distributed engineering teams.
- Bonus points for backend development experience, large-scale distributed systems expertise, or exposure to multiple cloud platforms.
- Competitive compensation package aligned with experience and expertise.
- Flexible remote work environment supporting work-life balance across Europe.
- Career growth opportunities with ongoing learning and technical development support.
- Opportunity to work on impactful AI and cloud infrastructure projects at global scale.
- Collaborative, innovative, and engineering-driven culture focused on ownership and autonomy.
- Exposure to highly skilled international teams across multiple regions and disciplines.
- Fast-paced environment offering meaningful technical challenges and long-term career advancement.
- Inclusive workplace committed to diversity, equal opportunity, and professional growth.
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.
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.
Key Skills
Ranked by relevance
cloud
ai
machine learning
kubernetes
terraform
ansible
docker
cicd
configuration management
artificial intelligence
distributed computing
high availability
containerization
data structures
fault tolerance
ai tools
storage
python
devops
gdpr
c
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- Posted
- May 18, 2026
- Type
- Full-time
- Level
- Associate
- Location
- Ireland
- Company
- Jobgether
Industries
Internet Marketplace Platforms
Categories
Engineering
Information Technology
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