Careers at Algolia

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Algolia was built to help users deliver intuitive search experiences across websites and mobile applications. Our Search API serves thousands of customers in more than 100 countries, answering billions of queries every month. Join AI Platform: Powering AI in Production AI Platform builds and operates the shared production foundations supporting Algolia's evolving AI ecosystem. The team works at the intersection of Site Reliability Engineering, cloud infrastructure, software engineering and AI, helping engineering teams bring AI-powered capabilities to production reliably, securely and efficiently. Our scope includes Kubernetes, cloud infrastructure, CI/CD, networking, databases, observability, reliability, FinOps and production operations. We are looking for a Site Reliability Engineer with strong production fundamentals who enjoys solving operational problems, automating repetitive work and progressively taking ownership of complex systems at scale. YOU WILL: Build and operate production infrastructure supporting AI-related workloads and services Operate and improve highly available Kubernetes-based platforms Improve reliability through SLOs, observability, alerting and capacity management Investigate production issues and turn findings into durable fixes and improvements Work across networking, databases, compute and service infrastructure Improve CI/CD pipelines, deployment automation and developer experience Build and maintain infrastructure using Infrastructure as Code Participate in on-call, incident response and operational improvements Collaborate with experienced engineers across AI Platform and progressively take ownership of broader production areas YOU MIGHT BE A FIT IF YOU HAVE: Solid hands-on Kubernetes knowledge, including workloads, resource management, and production operations Strong experience with Infrastructure as Code, and the lifecycle of cloud infrastructure Solid experience building and operating CI/CD pipelines and automated deployment workflows Hands-on experience with at least one major cloud provider: GCP, AWS or Azure Good understanding of networking, distributed systems and reliability engineering Experience with monitoring, observability and troubleshooting production systems Strong automation mindset and the ability to take ownership of well-defined production systems and progressively tackle more complex problems Excellent written and spoken English NICE TO HAVE: Go and/or Python engineering experience Exposure to AI/ML infrastructure and inferences Comfortable working AI-first, using coding agents, agentic workflows and AI-assisted debugging to accelerate engineering and operations Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €69.768 — €96.900 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Algolia was built to help users deliver intuitive search experiences across websites and mobile applications. Our Search API serves thousands of customers in more than 100 countries, answering billions of queries every month. Join AI Platform: Powering AI in Production AI Platform builds and operates the shared production foundations supporting Algolia's evolving AI ecosystem. The team works at the intersection of Site Reliability Engineering, cloud infrastructure, software engineering and AI, helping engineering teams bring AI-powered capabilities to production reliably, securely and efficiently. Our scope includes Kubernetes, cloud infrastructure, CI/CD, networking, databases, observability, reliability, FinOps and production operations. We are looking for a Senior Site Reliability Engineer who can independently own complex production systems, drive technical decisions across teams, and help shape reliable and efficient infrastructure at scale. YOU WILL: Own and evolve production infrastructure supporting AI-related workloads and services at scale Design and operate highly available Kubernetes-based platforms Drive reliability through SLOs, observability, capacity planning and production guardrails Lead complex production investigations and turn findings into durable architectural improvements Improve shared infrastructure across networking, databases, service communication and compute Build better CI/CD, progressive delivery, automation and developer experience Drive cloud infrastructure efficiency and FinOps initiatives Participate in and improve on-call and incident response Mentor engineers and raise the technical bar for reliability and production engineering YOU MIGHT BE A FIT IF YOU HAVE: Strong hands-on production experience with at least one major cloud provider: GCP, AWS or Azure Strong experience designing and operating Kubernetes and cloud-native production systems at scale Strong understanding of distributed systems, networking and reliability engineering Experience operating business-critical systems with strong availability, scalability and operational requirements Ability to independently own ambiguous, cross-team technical problems and drive them to measurable outcomes Strong automation mindset and ability to balance reliability, engineering velocity and cost Excellent written and spoken English NICE TO HAVE: Go and/or Python engineering experience Experience with infrastructure supporting AI/ML workloads, model serving, GPUs or other compute-intensive systems Comfortable working AI-first, using coding agents, agentic development workflows, AI-assisted debugging and automation to accelerate engineering and operations Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €69.768 — €96.900 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Algolia is set to enable every company to create world-class Search and Discovery experiences with an API-first approach. Performance and Scalability is at the heart of our mission: we power 1.5 trillion searches a year, for 10K+ customers all over the world. If you're a problem solver, able to think outside the box and eager to nurture others and learn from them, then this is your challenge! The Team The Platform as a Service (PaaS) team is dedicated to empowering development teams by creating toolchains, guidelines, and standards. Our focus is on enabling seamless automation and CI/CD, comprehensive observability, and unwavering reliability in a secured cloud-native environment. The Opportunity The Senior Site Reliability Engineer (IC4) position within the Platform As a Service team presents an exciting opportunity for a seasoned professional to enhance scalable infrastructure with a focus on CI/CD, Observability, and application hosting. In this role, you will bridge the gap between our junior and senior staff, playing a critical role in ensuring the reliability, scalability, and performance of Algolia’s Search Products. As a senior contributor, you will be responsible for building and optimizing systems that ensure the platform’s efficiency and reliability, while also mentoring junior engineers and collaborating across teams. Your work will be pivotal in improving infrastructure, enhancing observability standards, and streamlining CI/CD processes. You will play a significant role in transitioning legacy systems to a modern Kubernetes-based architecture, contributing to long-term infrastructure strategies, and ensuring alignment with business needs. Your role will consist of: CI/CD Development and Maintenance : Contribute to the design, optimization, and maintenance of the CI/CD pipelines to improve the speed, reliability, and efficiency of the development lifecycle. Assist in driving standardization across various services hosted on the platform. Observability Enhancement : Lead efforts to improve the observability of critical systems, working closely with cross-functional teams to ensure actionable monitoring and alerting frameworks are in place. Help troubleshoot complex issues and optimize system reliability. Kubernetes and Cloud Management : Contribute to the development and operation of our Kubernetes-based architecture. Ensure systems are resilient, scalable, and optimized for performance. Actively participate in enhancing cloud-based solutions for API management and microservices. System Optimization and Scaling : Collaborate with team members to ensure system scalability, operability, and performance. Lead initiatives to optimize resource utilization, focusing on cost efficiency while maintaining high system availability. Mentorship and Knowledge Sharing : Mentor mid-level engineers (IC3) by providing guidance on technical challenges and SRE best practices. Support team growth by fostering knowledge-sharing sessions and helping establish processes that drive operational excellence. Cross-Team Collaboration : Work closely with product, software, and other SRE teams to ensure that platform goals align with broader business objectives. Drive initiatives aimed at enhancing platform stability, security, and scalability. You might be a fit if you have: Strong Programming Skills : Proficient in Golang and Python with a solid understanding of software craftsmanship. Knowledge of Ruby is a plus. Experience in CI/CD Pipelines : Hands-on experience in building and maintaining CI/CD pipelines using tools like GitHub Actions, CircleCI, or alternatives. Familiarity with best practices for ensuring build and deployment reliability. Observability : Experience designing and implementing monitoring, alerting, and observability frameworks that provide actionable insights. Strong troubleshooting skills in production environments. Kubernetes and Cloud Infrastructure : Proven experience in managing and optimizing Kubernetes-based architectures and working with public cloud providers such as GCP, AWS, or Microsoft Azure. Distributed Systems Expertise : Experience in designing, building, and operating distributed systems at scale, with a focus on reliability, availability, and performance. Mentorship and Leadership : Experience mentoring junior engineers and helping them grow. Ability to collaborate with cross-functional teams and contribute to strategic initiatives. Problem-Solving Skills : Ability to independently solve complex technical problems with minimal supervision while collaborating effectively with other team members. Excellent Communication and Organizational Skills : Strong ability to communicate complex technical issues to both technical and non-technical audiences. Ability to organize and prioritize multiple projects. Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €69.768 — €96.900 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. The team The Infrastructure as a Service team is at the center of one of Algolia’s most consequential engineering transformations. For years, Algolia has operated a production fleet of approximately 4,000 bare-metal servers to deliver the reliability, low latency, and scalability that our customers expect. We are now building the foundations of a unified cloud and Kubernetes platform designed to support Algolia’s growth for years to come. . We are now building the foundations of a unified cloud and Kubernetes platform designed to support Algolia’s growth for years to come. This is not a lift-and-shift project. It is an opportunity to rethink how Algolia provisions, secures, operates, observes, upgrades, and scales production infrastructure and to build it as a platform that engineers can safely consume, rather than a queue of manual requests. The opportunity As a Site Reliability Engineer in IaaS, you will help build the next generation of Algolia’s production infrastructure. You will contribute to the cloud baseline and reliable lifecycle capabilities that enable teams to operate and migrate workloads safely on a cloud-native platform. You will work across cloud foundations, Kubernetes, automation, reliability, and large-scale production operations. As a P3 engineer, you will be a hands-on contributor. You will build, operate, and improve production infrastructure while developing deep expertise in cloud, Kubernetes, reliability, and automation. YOU WILL: Build and improve Cloud Baseline capabilities, including identity and access, networking, security, resource inventory, tagging, and auditability. Develop and maintain infrastructure as code and automation for cloud environments and Kubernetes infrastructure. Contribute to reliable, repeatable cloud and cluster lifecycle operations. Help build self-service capabilities, reusable modules, and clear documentation that make the safe path the easy path for platform consumers. Reduce manual work and configuration drift through automation, testing, GitOps practices, and standardisation. Use automation and AI-assisted engineering tools where appropriate to improve infrastructure analysis, documentation, and safe, repeatable changes. Improve observability, monitoring, alerting, capacity management, and operational documentation. Investigate production issues, participate in the on-call rotation, and turn lessons learned into lasting improvements. Work with Infrastructure, Security, FinOps, and engineering teams to deliver reliable, secure, and cost-aware platform capabilities. YOU MIGHT BE A FIT IF YOU HAVE: Hands-on production knowledge of AWS or GCP. Practical Kubernetes knowledge and an interest in operating it in production. Familiarity with infrastructure as code, ideally Terraform. Programming or scripting skills in Python, Go, or an equivalent language. Strong Linux and networking fundamentals. A strong interest in reliability, automation, and solving production problems. Comfort adopting AI-assisted engineering tools, with sound judgement for critical production systems. The ability to communicate clearly and work effectively with a distributed team. Excellent spoken and written English skills. NICE TO HAVE: Familiarity with more than one public cloud provider. Knowledge of GitOps or policy-as-code tooling, such as Argo CD, Helm, OPA, or Kyverno. Experience with cloud migration, platform engineering, or large-scale infrastructure transformation. Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €56.508 — €78.540 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. The team The Infrastructure as a Service team is at the center of one of Algolia’s most consequential engineering transformations. For years, Algolia has operated a production fleet of approximately 4,000 bare-metal servers to deliver the reliability, low latency, and scalability that our customers expect. We are now building the foundations of a unified cloud and Kubernetes platform designed to support Algolia’s growth for years to come. This is not a lift-and-shift project. It is an opportunity to rethink how Algolia provisions, secures, operates, observes, upgrades, and scales production infrastructure and to build it as a platform that engineers can safely consume, rather than a queue of manual requests. The opportunity As a Senior Site Reliability Engineer in IaaS, you will help shape the next generation of Algolia’s production infrastructure. You will lead major parts of the Cloud Baseline and the reliable lifecycle capabilities that enable teams to operate and migrate workloads safely on a cloud-native platform. You will work across cloud foundations, Kubernetes, platform engineering, automation, reliability, and large-scale production operations. This role is for an engineer who enjoys solving infrastructure problems where the answer must work not once, but hundreds or thousands of times: creating repeatable cloud environments, enabling a growing fleet of production clusters, reducing manual operations, and maintaining the reliability and cost efficiency our customers expect throughout the transition. YOU WILL: Lead the design and evolution of Cloud Baseline capabilities across cloud providers, including identity and access, networking, account structure, security, auditability, tagging, inventory, and cost visibility. Design and automate cloud infrastructure foundations that enable a growing fleet of production Kubernetes clusters. Lead complex infrastructure initiatives, such as cloud-environment standardisation, cluster lifecycle automation, upgrade strategies, or infrastructure-drift reduction. Ensure cloud and Kubernetes foundations, lifecycle operations, and operational guardrails are reliable and scalable enough to support large-scale workload migration without compromising customer experience. Treat the platform as a product: define clear interfaces, reusable modules, self-service workflows, documentation, and reliable operational standards for the engineers who consume it. Build automated guardrails for security, compliance, reliability, and safe change management, allowing teams to move faster without weakening production protections. Improve platform efficiency through capacity planning, rightsizing, autoscaling, resource governance, and clear cost visibility. Use automation and AI-assisted engineering tools where appropriate to improve fleet-scale analysis, infrastructure documentation, and safe, repeatable operational changes. Mentor engineers, share knowledge, and raise the quality of infrastructure design and operations across the team. Collaborate with Infrastructure, Security, FinOps, and engineering teams to align technical decisions and deliver high-impact platform capabilities. Participate in the on-call rotation and lead the resolution of complex production issues. YOU MIGHT BE A FIT IF YOU HAVE: Strong hands-on production expertise with AWS or GCP. Deep practical Kubernetes knowledge, including its cloud infrastructure dependencies and operational challenges. The ability to design, build, and operate reliable cloud infrastructure in production. Strong infrastructure-as-code and automation skills, ideally Terraform and Python, Go, or equivalent. Solid knowledge of Linux, networking, distributed systems, and production operations. A platform mindset: you design for the engineers who consume what you build, balancing velocity, correctness, security, and reliability. Awareness of cloud cost drivers and the ability to treat cost as an engineering constraint. A track record of leading complex technical initiatives and delivering durable solutions across teams. Comfort adopting AI-assisted engineering tools, with strong judgement for critical production systems. Excellent spoken and written English skills. NICE TO HAVE: Familiarity with more than one public cloud provider. Knowledge of GitOps or policy-as-code tooling, such as Argo CD, Helm, OPA, or Kyverno. Exposure to cloud migration, platform engineering, FinOps, or large-scale infrastructure transformation. Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €69.768 — €96.900 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. We are looking for a Site Reliability Engineer to join the Search team. We are responsible for the cloud-based scalable architecture for NeuralSearch, our AI search engine, which incorporates both keyword and vector search. Our work consists of distributed components which orchestrate the building and storage of indices containing customer data and then querying that data to return search results. The role requires understanding and solving the challenges that come with complex distributed systems. The team is composed of engineers, most of whom are fully remote, with different skill sets and backgrounds. Your experience, your knowledge and your perspective will add to this diversity and help the team deliver products that make a difference. YOU WILL: Be a key contributor to the design and development of the Search and Indexing systems Be responsible for operations for the Search system including participation in out-of-hours on-call rota Work with a full-remote team, with the option to be either full-remote, hybrid or office based (Paris) yourself Be responsible for the quality and soundness of the system Share your expertise on distributed systems Work with other teams to identify, troubleshoot and resolve high impact issues YOU MIGHT BE A FIT IF YOU HAVE: Experience designing and operating distributed systems in production Experience working with large datasets and high traffic Rigor in high code quality, automated testing, and other engineering best practices Excellent spoken and written English skills Experience at our current stage and beyond ($50-200M ARR range, high growth, lots of change and building internal infrastructure). Experience in Kubernetes NICE TO HAVE: Experience in Go Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work. Base Salary Pay Range €70.000 — €97.000 EUR 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 high-trust 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 hybrid-remote 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 hybrid-remote or in-office schedule. WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment. TRUST - Willingness to trust our co-workers 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 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 . 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!