Accountabilities:

Technical Leadership and Mentorship: Provide technical direction, guidance, and mentorship to Site Reliability Engineering teams and project stakeholders, encouraging collaboration, knowledge sharing, and engineering excellence.

Infrastructure Reliability and Availability: Oversee the operation, maintenance, and continuous improvement of critical cloud infrastructure and Compute services, ensuring high availability, scalability, performance, and resilience.

Architecture and Operational Readiness: Define technical and operational requirements throughout the product lifecycle, influencing system architecture, engineering standards, deployment strategies, and production readiness.

Cross-Functional Collaboration: Partner with software engineering, infrastructure, operations, and support teams to design and implement reliable, scalable, and user-friendly platforms.

Automation and Tooling: Develop and enhance infrastructure automation tools and operational workflows to reduce manual effort, eliminate repetitive tasks, improve efficiency, and optimize system performance.

Advanced Troubleshooting: Investigate and resolve complex infrastructure and application issues through proactive monitoring, systems programming, automation, and root cause analysis.

Identity and Access Management: Manage and continuously improve Compute identity and access management platforms, strengthening operational efficiency and accelerating incident detection and remediation.

CI/CD and Systems Engineering: Support reliable software delivery by improving automation pipelines, deployment processes, and infrastructure management practices.

Incident Management: Participate in on-call rotations, lead responses to critical incidents, coordinate resolution efforts, and implement improvements that prevent recurring disruptions.

Continuous Improvement: Identify opportunities to strengthen monitoring, operational processes, system performance, and engineering practices across the platform.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related discipline, or equivalent professional experience.

Significant hands-on experience in Site Reliability Engineering, infrastructure engineering, or software architecture within large-scale production environments.

Demonstrated technical leadership experience, including mentoring engineers and coordinating cross-functional engineering initiatives.

Strong expertise in Linux system administration, troubleshooting, performance optimization, and production infrastructure management.

Experience with infrastructure automation and configuration management tools such as SaltStack, Terraform, and Ansible.

Practical experience with CI/CD platforms and automation tools, particularly Jenkins or CloudBees.

Strong knowledge of Docker-based environments, containerization technologies, and Kubernetes orchestration.

Experience optimizing application and infrastructure performance using technologies such as Redis.

Familiarity with observability, monitoring, and incident detection tools, including Prometheus, Grafana, Loki, Sentry, and New Relic.

Knowledge of web proxies and traffic management technologies such as Nginx, Envoy, and HAProxy.

Understanding of Site Reliability Engineering principles, including Service Level Objectives (SLOs), availability targets, system resilience, and reliability engineering practices.

Strong analytical and problem-solving skills, with the ability to diagnose complex technical issues and implement sustainable solutions.

Excellent communication and collaboration abilities, particularly when coordinating incident responses and working with multidisciplinary teams.

Ability to balance strategic technical leadership with hands-on engineering responsibilities in a dynamic environment.

Benefits

Flexible Working Arrangements: Remote-friendly working model with the flexibility to work from home, an office, or a combination of both, depending on role requirements.

Health and Well-being: Employee benefits designed to support physical health, mental well-being, and overall quality of life.

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.

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