Company
Technology
SeniorSiteReliabilityEngineer(SRE)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Site Reliability Engineer (SRE). Skills: Site Reliability Engineering, Cloud infrastructure, AI platforms, Cloud-native platforms. Maintain high system availability. Ensure fault tolerance”
What You'll Achieve.
Ensure systems remain reliable; Ensure systems remain scalable; Ensure systems remain performant
Industry & Context.
Problem-solving mindset; Diagnose technical issues; Resolve technical issues
What They're Looking For.
Must Have
5+ years Python, 5+ years C++, 5+ years Go, Deep understanding Unix/Linux, Deep understanding networking, Deep understanding distributed systems, Hands-on Docker experience, Hands-on Kubernetes experience, Practical Terraform experience, Practical Ansible experience, Practical Salt experience, Experience with high-load systems, Problem-solving mindset
Nice to Have
Kubernetes experience a plus, Helm experience a plus
What You'll Do.
Maintain high system availability
Ensure fault tolerance
Design infrastructure solutions
Implement infrastructure solutions
Optimize infrastructure solutions
Improve CI/CD pipelines
Evolve CI/CD pipelines
Enable automated software delivery
Collaborate with engineering teams
Troubleshoot system issues
Standardize environments
Support containerized environments
Support orchestration platforms
Contribute to operational best practices
Implement observability
Perform performance tuning
How You'll Work.
Team & Collaboration
Software teams; Infrastructure teams; Platform teams; Engineering teams
Communication Scope
Communication skills
Process & Methodology
CI/CD
Full Job Description
## Description This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer (SRE) based in Romania. This role sits at the heart of large-scale cloud infrastructure, ensuring that highly distributed systems remain reliable, scalable, and performant under demanding production workloads. You will be responsible for maintaining and improving the stability of critical services that support modern AI and cloud-native platforms. The environment is fast-paced and engineering-driven, where automation, resilience, and operational excellence are core priorities. You will work closely with software, infrastructure, and platform teams to design systems that can withstand high traffic and complex distributed workloads. The role combines hands-on engineering with strategic improvements to CI/CD pipelines, observability, and system reliability. You will contribute to shaping infrastructure that enables seamless deployment and operation of advanced cloud services at global scale. ## Accountabilities Maintain high system availability by ensuring fault tolerance, monitoring, and rapid incident response across production services. Design, implement, and optimize scalable infrastructure solutions using modern cloud-native technologies. Improve and evolve CI/CD pipelines to enable safe, efficient, and automated software delivery. Collaborate with engineering teams to troubleshoot complex system issues across compute, networking, and storage layers. Apply infrastructure-as-code practices using tools such as Terraform, Ansible, or similar to manage and standardize environments. Support containerized environments and orchestration platforms such as Docker, Kubernetes, and Helm. Contribute to operational best practices, including observability, alerting, and performance tuning. Requirements: Strong programming skills in languages such as Go, Python, or C++, with a solid foundation in algorit
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