Senior DevOps Engineer - Scalable AI/Search Infra

Perplexity

Greater London

On-site

GBP 70,000 - 110,000

Full time

2 days ago
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Job summary

Perplexity is seeking a DevOps engineer to join our small team and lead the design, implementation, and scaling of infrastructure supporting our Search feature.

The role focuses on building highly scalable systems, tools, and workflows with AWS, Docker, Kubernetes, Terraform, and databases. You will monitor, troubleshoot, and optimize performance while collaborating closely with engineers to improve reliability and speed.

Qualifications

  • Strong experience with cloud infrastructure built on AWS.
  • Proficient in database management and caching strategies.
  • Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues.
  • Experience with Docker and Kubernetes.
  • Experience with Python and Terraform.
  • 3+ years of DevOps/SRE/System Administration experience.

Responsibilities

  • Design and implement highly available, high-performance, and scalable systems.
  • Design and implement various tools for other engineers helping them with their day to day job.
  • Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration.
  • Maintain and optimize key-value and relational databases.
  • Scale and load balance web server backends to meet rapidly changing needs.
  • Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues.
  • Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance.

Skills

Cloud infrastructure
Problem solving
Collaboration

Tools

Docker
Kubernetes
Terraform
PostgreSQL
DynamoDB
Redis

Job description

Perplexity is seeking a DevOps engineer to join our small team and lead the design, implementation, and scaling of infrastructure supporting our Search feature.

The role focuses on building highly scalable systems, tools, and workflows with AWS, Docker, Kubernetes, Terraform, and databases. You will monitor, troubleshoot, and optimize performance while collaborating closely with engineers to improve reliability and speed.

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