Site Reliability Engineer (SRE)

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

Apply for the job now!

Submit your Resume!