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Job Title
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of SRE based in United Kingdom.
This is a hands-on engineering leadership role responsible for establishing and scaling a high-performing Site Reliability Engineering function. You will combine strategic ownership with deep technical execution to strengthen the reliability, security, and scalability of production systems supporting advanced AI products. The role offers significant scope to assess existing infrastructure, redesign operational models, and introduce modern SRE practices where needed. You’ll define reliability standards, improve observability and automation, and build resilient incident management and delivery processes. Working closely with engineering, product, QA, data, and ML teams, you’ll help create a strong culture of operational excellence. You’ll also contribute to engineering leadership and build the team and infrastructure required to support rapid organizational growth.
Accountabilities
- Own the overall SRE strategy, standards, roadmap, and execution while embedding reliability and operational excellence across engineering teams.
- Assess existing infrastructure, systems, and operational processes, identifying opportunities to improve, modernize, or rebuild them where necessary.
- Architect, deploy, and maintain scalable, secure, highly available production environments across cloud infrastructure.
- Define and implement Service Level Indicators, Service Level Objectives, uptime targets, and reliability standards.
- Establish robust monitoring, alerting, logging, and observability practices to proactively identify and resolve production issues.
- Design and improve incident management, root-cause analysis, escalation, and postmortem processes.
- Build sustainable on-call structures and escalation frameworks that balance operational coverage with team effectiveness.
- Automate software delivery and infrastructure workflows to improve release safety, consistency, and predictability.
- Create reproducible environments and Infrastructure-as-Code provisioning frameworks using modern automation practices.
- Drive improvements in system performance, availability, scalability, and overall production reliability.
- Support the productionization and operational reliability of data platforms, machine learning workloads, and AI systems.
- Partner with QA and engineering leadership to improve release quality, deployment processes, and production stability.
- Ensure infrastructure and operational practices meet enterprise-grade security, compliance, and regulatory requirements.
- Evaluate infrastructure tooling and vendors where appropriate and help establish scalable technology standards.
- Hire, manage, mentor, and develop a strong team of SRE engineers while establishing a culture of ownership and continuous improvement.
- Collaborate with enterprise customers and technical stakeholders when infrastructure must be deployed and operated within customer-controlled environments or VPCs.
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Requirements
- Proven hands-on experience in Site Reliability Engineering, Production Engineering, DevOps, or a closely related engineering discipline.
- Strong expertise in cloud infrastructure, with AWS or Azure experience preferred.
- Deep practical knowledge of Infrastructure as Code, particularly Terraform, and container orchestration technologies such as Kubernetes.
- Experience establishing, scaling, or significantly maturing SRE practices within an engineering organization.
- Demonstrated success improving system uptime, reliability, performance, and operational processes.
- Strong understanding of CI/CD, developer experience, infrastructure automation, observability, and modern software delivery practices.
- Experience designing incident response, on-call, escalation, and operational readiness frameworks.
- Previous experience managing, mentoring, and developing an SRE engineering team.
- Experience supporting data platforms and machine learning systems in production.
- Practical MLOps experience, including model deployment, monitoring, and retraining workflows.
- Strong understanding of enterprise security, compliance, and regulatory requirements within cloud environments.
- Experience working with large-scale B2B or B2C products and high-growth technology environments is advantageous.
- Exposure to AI, ML, LLM, or other advanced technology platforms is a plus.
- Experience implementing regulatory controls within cloud infrastructure is desirable.
- Strong communication and interpersonal skills, with the ability to influence engineering teams and senior stakeholders.
- Practical, hands-on leadership style with a willingness to lead from the front and remain technically engaged.
- Structured approach to solving ambiguity, building processes, and establishing scalable operational frameworks.
- High ownership, accountability, and continuous improvement mindset.
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Benefits
- Fully remote working model within the European time zone.
- Full-time opportunity with significant ownership and influence across engineering and infrastructure.
- Opportunity to establish and lead an SRE function and shape reliability standards across the organization.
- Direct exposure to product and engineering leadership and involvement in strategic technology decisions.
- Opportunity to work on large-scale AI infrastructure and production machine learning systems.
- Significant autonomy to review, improve, and rebuild infrastructure and operational processes.
- Opportunity to hire, mentor, and develop a high-performing SRE team.
- International, high-growth environment focused on advanced AI and agentic technology.
- Opportunity to work with enterprise-scale systems and demanding security, reliability, and compliance requirements.
- Strong emphasis on technical ownership, continuous learning, operational excellence, and innovation.
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.
We 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.
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