Job Title

Senior Site Reliability Engineer, AI ResearchRemote - AustraliaAt Algolia, we''re proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our marketleading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.About the AI Research TeamThe AI Research team at Algolia combines fundamental research with product engineering to deliver customerfacing AIpowered features.The team is highly crossfunctional, made up of PhD researchers, fullstack engineers, and infrastructure specialists working together to explore new ideas, validate impact, and bring successful research outcomes into production. While the work is researchdriven, the output is real, customerfacing systems.The OpportunityWe are looking for an embedded Senior Site Reliability Engineer to join the AI Research team as a full member of the group. In this role, you will support both the research and productengineering aspects of the team by ensuring the stability, scalability, and operability of the infrastructure that enables this work.This is a classic SRE role focused on cloudfirst, serviceoriented architectures running on Google Cloud Platform. While the team builds AIpowered systems, AI or ML experience is not required for this role. Our priority is strong SRE fundamentals, experience operating production services, and comfort working in an environment with ambiguity and high ownership.You will play an important role in daytoday execution as well as in longerterm (12month) planning, helping shape how the team builds and operates its platforms over time.What You''ll Work OnPlatform Reliability & EnablementSupport and evolve the reliability of platforms used by the AI Research team. Examples of our infrastructure work to date include:A production inference service (embedding model serving API)AI data feature storeInternal tools used for novel research and experimentationInfrastructure that combines the above to enable offline testing of customer deployments to agentically discover configuration improvements.Ensure production services meet expectations for availability, latency, and operational readiness, particularly for systems that sit on customercritical paths.Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems.Embedded CollaborationWork closely with researchers and engineers in a crossfunctional setting, acting as an advisor on infrastructure, reliability, and operational concerns.Participate directly in team planning and execution, from early exploration through production rollout.Help researchers selfserve infrastructure safely and effectively, without becoming a bottleneck.Cloud Infrastructure & OperationsBuild and maintain Kubernetesbased services on GCP using infrastructureascode and GitOps (Terraform, ArgoCD).Own and improve CI/CD pipelines for services written primarily in Go, with some Pythonbased services.Design and operate observability systems using tools such as Datadog.Participate in an oncall rotation (relatively light), responding to incidents and helping improve systems over time.What We''re Looking ForRequired ExperienceStrong experience operating cloudfirst infrastructure.Proficiency with infrastructureascode (Terraform) and CI/CD systems.Experience supporting production services written in Go (Python experience is a plus).Solid grounding in service reliability, incident response, and operational best practices.Comfort working in environments with ambiguity, where problems are not always welldefined upfront.Nice to HaveExperience supporting missioncritical internal platforms.Exposure to research or experimentationheavy environments.Familiarity working alongside researchers or highly specialized domain experts.Explicitly Not RequiredAI, ML, or deep learning experience.Ways This Role May Not Be a FitThis role may not be a good match if:You are only interested in maintaining existing infrastructure without contributing to what is being built.You want to work exclusively on customerfacing product features.You are looking to avoid oncall or production systems entirely.You are seeking narrowly defined work with low ambiguity and limited ownership.You want to build or train AI models yourself rather than enable the systems around them.Why Join the AI Research TeamHigh Impact: Your work directly enables new AIpowered capabilities that reach customers.High Agency: You''ll help shape what gets built, how it''s built, and whether it''s worth building.Strong Peers: Collaborate with experienced SREs, engineers, and PhD researchers.Growth: Build expertise in researchadjacent infrastructure and platform reliability.Flexibility: Australiabased role with remotefriendly culture; occasional offhours collaboration may be required.FLEXIBLE WORKPLACE STRATEGY:Algolia''s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual''s impact, contribution, and output, over their physical location. Algolia is a hightrust environment and many of our team members have the autonomy to choose where they want to work and when.We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybridremote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location depending on the role it may be available with either a hybridremote or inoffice schedule.WE''RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:GRIT Problemsolving and perseverance capability in an everchanging and growing environment.TRUST Willingness to trust our coworkers and to take ownership.CANDOR Ability to receive and give constructive feedback.CARE Genuine care about other team members, our clients and the decisions we make in the company.HUMILITY Aptitude for learning from others, putting ego aside.We''re looking for talented, passionate people to help build the world''s best search and discovery technology. We value autonomy, diversity, and collaboration. We''re committed to creating an inclusive workplace where everyone is respected and supportedregardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud NoticeWe''ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:Our open positions may appear on thirdparty job boards, but the best way to apply safely is directly through our careers page.All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.We''ll never ask for payments, purchases, or financial details during the hiring process.READY TO APPLY?If you share our values and our enthusiasm for building the world''s best search & discovery technology, we''d love to review your application!Create a Job AlertInterested in building your career at Algolia? Get future opportunities sent straight to your email. #J-18808-Ljbffr