Site Reliability Engineer (SRE)
- Full Time
- London
Job title: Site Reliability Engineer (SRE)
Company: FactSet
Job description: Job Summary: We are seeking a highly skilled and motivated Site Reliability Engineer (SRE) to join our growing team. As an SRE, you will play a critical role in ensuring the reliability, scalability, and performance of our software systems and infrastructure. The ideal candidate possesses a strong background in coding, automation, and system administration, combined with a passion for continuously improving system reliability.Responsibilities:
- Collaborate with development, operations, and product teams to define, review, and implement reliability standards and best practices.
- Design, implement, and maintain highly available and scalable architectures for our applications and infrastructure.
- Develop and enhance automated tools and frameworks to optimize system monitoring, deployment, and recovery.
- Troubleshoot and resolve complex issues throughout the entire software stack, including networking, databases, and distributed systems.
- Conduct performance analysis and capacity planning to ensure system scalability and resource optimization.
- Take a proactive approach to continuously improving reliability.
- Participate in incident response, root cause analysis, and postmortem activities to identify and rectify system failures.
- Collaborate with cross-functional teams to implement and improve CI/CD pipelines, ensuring reliable and efficient software releases.
- Stay up-to-date with emerging technologies and industry trends, actively contributing to ongoing system improvements.
- Participate in oncall rotation.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Proven experience deploying and managing large-scale distributed systems successfully.
- Understanding of SRE concepts (error budgets, SLIs/SLOs, blameless postmortems)
- Proficiency in programming languages such as Python, C++, or Go
- Familiarity with monitoring and observability tools.
- Excellent problem-solving skills and ability to troubleshoot complex issues efficiently.
- Strong organizational and communication skills, with the ability to collaborate effectively in a cross-functional team environment.
Desirable Qualifications:
- Experience with artificial intelligence (AI) and machine learning (ML) technologies and frameworks.
- Familiarity with security best practices and experience implementing security measures in a production environment.
- Experience with modern infrastructure technologies and tools, including cloud platforms (AWS, Azure, GCP), containers (Docker, Kubernetes), and orchestration (Ansible, Chef, Puppet).
- Solid understanding of networking protocols and technologies (TCP/IP, DNS, load balancing).
- Demonstrated experience with infrastructure as code (IaC) and automation tools (e.g., Terraform, GitHub Actions).
Join our team and contribute to creating and maintaining a highly reliable and performant infrastructure that supports our growing platform. Help shape the future of our systems architecture while working in a collaborative and innovative environment. Experience in AI/ML is considered desirable but not mandatory, so if you have the skills or interest in these areas, we encourage you to apply.
Expected salary:
Location: London
Job date: Wed, 17 Jul 2024 01:48:03 GMT
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