Member of Technical Staff (Search Core DevOps Engineer)
Perplexity·Belgrade, Serbia | London, England, United Kingdom | Berlin, Berlin, Germany·posted 10d ago · last seen 4m agoTrack this application
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Get Started FreeAbout interviewing at Perplexity
One of the few AI startups with a fully published interview guide (perplexity.ai/hub/careers/interview-guide): online application (response within two weeks) → recruiter phone screen → a technical screen that for engineers is 'usually a standard technical programming interview' → a quickly-scheduled onsite of 4–5 interviews including a hiring-manager deep dive on past work and experience anecdotes → a final interview with a Perplexity founder or leader → decision within a week of the onsite. Coding leans Python and mixes LeetCode medium–hard with practical search-flavored tasks (ranking/filtering, concurrency, data handling); system design is AI-native (RAG pipelines, retrieval at scale, LLM serving cost/latency). Applicants are judged 'solely on merit and potential impact' and must show 'frontier knowledge and excellence in at least one area'; roles are broad by default with team matching happening during the onsite, every role — managers included — is hands-on, and building AI products isn't expected but fluency in using AI tools is required. In-person 4 days/week near an office; remote is case-by-case.
Read the full Perplexity interview process →Description
Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature.
The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces.
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.
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 working with containers (Docker, Kubernetes) and orchestration tools.
Excellent communication and collaboration skills.
Experience with Python and Terraform.
3+ years of DevOps/SRE/System Administration experience.
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