Algolia - Senior Site Reliability Engineer, AI Research

• You will play an important role in day-to-day execution as well as in longer-term (12-month) planning, helping shape how the team builds and operates its platforms over time. • day-to-day execution • longer-term (12-month) planning • What You’ll Work On • What You’ll Work On • Platform Reliability & Enablement • Support 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 store • Internal tools used for novel research and experimentation • Infrastructure 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 customer-critical paths • Design infrastructure and operational patterns that prioritize iteration speed while maintaining appropriate safeguards for production systems • iteration speed • Embedded Collaboration • Work closely with researchers and engineers in a cross-functional 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 self-serve infrastructure safely and effectively, without becoming a bottleneck • Cloud Infrastructure & Operations • Build and maintain Kubernetes-based services on GCP using infrastructure-as-code and GitOps (Terraform, ArgoCD) • Own and improve CI/CD pipelines for services written primarily in Go, with some Python-based services • Design and operate observability systems using tools such as Datadog • Participate in an on-call rotation (relatively light), responding to incidents and helping improve systems over time • Strong experience operating cloud-first infrastructure • cloud-first infrastructure • Hands-on experience running production services on Kubernetes • Proficiency with infrastructure-as-code (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 well-defined upfront • Experience supporting mission-critical internal platforms • mission-critical internal platforms • Exposure to research or experimentation-heavy environments • Familiarity working alongside researchers or highly specialized domain experts • AI, ML, or deep learning experience • Model training, tuning, or ML framework expertise (e.g. PyTorch, JAX) • Ways This Role May Not Be a Fit • This 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 customer-facing product features • You are looking to avoid on-call 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 • GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. • TRUST - Willingness to trust our co-workers and to take ownership. • TRUST • CANDOR - Ability to receive and give constructive feedback. • CANDOR • 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. • HUMILITY • 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 supported—regardless 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 Notice • We’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 third-party job boards, but the best way to apply safely is directly through our careers page. • best way to apply safely • 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. • @algolia.com • We’ll never ask for payments, purchases, or financial details during the hiring process. • never ask for payments, purchases, or financial details • READY TO APPLY? • 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!