Senior Site Reliability Engineer

November 5

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Prolific

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AI • B2B • Research

Prolific is a platform that facilitates fast and high-quality data collection by connecting researchers with participants, including AI taskers. Researchers can launch tasks, surveys, and experiments and receive responses from a global community of over 200,000 active participants within hours. Prolific prides itself on providing accurate and detailed data while ensuring that participants are fairly rewarded for their contributions. The platform is trusted by leading academics and organizations for its flexibility, simplicity, and rapid project execution.

51 - 200 employees

Founded 2014

🤝 B2B

📋 Description

• Develop and maintain highly available infrastructure using modern infra-as-code techniques, with a focus on terragrunt and terraform. • Manage and optimise Kubernetes clusters and their workloads with a focus on reliability and performance. • Participate in incident response and remediation, working with relevant product teams and stakeholders to resolve production issues efficiently, including creating and maintaining runbooks. • Review and optimise other areas of our tooling stack, such as CICD or release strategies. • Foster a culture of continuous improvement, such as enhancing documentation and upskilling teams in cloud architecture and kubernetes. • Improve observability and alerting systems across our application and infrastructure, ensuring proactive detection of system degradation. • Collaborate with Engineering teams to foster an SRE culture, including contributing defining SLO’s, SLA’s and error budgets. • Design and implement automation strategies to ensure managed services remain up-to-date, secure, and performant. • Lead and support initiatives that automate processes to improve system efficiency, resilience and reduce toil. • Organising, supporting and responding to on-call incidents

🎯 Requirements

• 5+ years with Google Cloud Platform, GKE, and the Kubernetes ecosystem with experience with Terraform and Terragrunt • Strong programming skills in Python • Strong experience in observability principles and tooling • Experience in GitOps flows and platforms for Kubernetes, such as ArgoCD • Deep understanding of system architecture and scalability principles • Strong collaboration and communication skills to work with cross-functional teams.

🏖️ Benefits

• Benefits • External Handbook • Website • Youtube