Senior Platform Reliability Engineer

Platform-as-product mindset Full time.While this is a remote position, we are currently only considering candidates between UTC-1 to UTC +2.About LandbotOperating in more than 150 countries, Landbot offers a platform that helps companies to create exceptional chatbot and AI agent conversations across several channels as Web, WhatsApp, and Messenger.At Landbot , we’re building a high-performance team that blends engineering excellence, product mindset, and customer obsession . We believe quality and speed go hand in hand — and we’re looking for a Senior Reliability Engineer to help us scale our platform and deliver real impact.About The TeamYou'll join our Platform Engineering team, a small, focused group responsible for building and maintaining Landbot Engineering Platform, Data Platform and Security.Our mission is to empower Landbot teams to deliver value faster, more reliably, and at scale.Our core team values:Platform-as-product mindset Autonomy and ownership Collaboration over gatekeeping About the PositionThe Role While the title is SRE, this role aligns with Systems Engineering in a Platform team principles: treating infrastructure as a product, focusing on developer needs, reducing operational toil, and creating self-service capabilities that abstract complexity so teams can focus on building features.As Senior Reliability Engineer you will:Build and Maintain the Internal Developer PlatformDesign and implement core platform services (CI/CD pipelines, infrastructure provisioning, and observability systems). Design and implement developer-facing tools, APIs, and automation that enable application teams to deploy, scale, and operate services independently. Define and Maintain Platform OperationsManage and optimize cloud resources, Kubernetes clusters, databases, and networking for reliability, scalability, and cost optimization. Establish SLIs, SLOs, and error budgets to balance reliability with feature velocity. Design and maintain observability solutions for real-time visibility and proactive issue detection. Implement alerting strategies that reduce noise and focus on actionable signals. Lead incident response, conduct blameless postmortems and drive continuous improvement. Enhance Developer Experience and Drive Platform StrategyPartner with application teams (platform customers) to understand their workflows and pain points, gather feedback, and prioritize improvements aligned with business objectives. Create and maintain documentation, runbooks, and knowledge bases that reduce knowledge silos and enable self-service. Drive decisions through written formats (RFCs, ADRs) that document architectural choices. Measure platform success through developer productivity metrics, adoption rates, and toil reduction. Experience3-5 years experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or DevOps roles, or as a full-time freelancer in similar roles. Experience reducing operational toil through automation and self-service tooling. Experience building internal platforms or developer tooling, or enabling platform capabilities from application teams, with a platform-as-product mindset focused on developer experience. Experience managing production infrastructure and establishing reliability practices (SLIs/SLOs, observability, incident response). Technical SkillsStrong working knowledge of Kubernetes and the container ecosystem Experience with cloud platforms (GCP, AWS, Azure) Proficiency with Infrastructure as Code tools. Knowledge of Kubernetes manifest management tools and GitOps practices. Experience with Observability platforms. Knowledge of OpenTelemetry is a plus. Good skill in shell scripting. Experience with Python or Go is a plus. Experience in Linux, databases management, networking, and distributed systems. Solid knowledge of CI/CD pipelines. Ability to work effectively in paired/mob programming and asynchronous work environments. Nice to HaveExperience with database performance tuning, query optimization, replication strategies, and database scaling in production environments. Familiarity with security best practices in cloud-native environments. Experience with data platforms, data pipelines, and data infrastructure (data warehouses, data lakes, ETL/ELT processes, streaming data platforms). Experience supporting AI workloads and infrastructure (LLM platforms, AI agents, vector databases, AI orchestration). Experience with cloud cost optimization and FinOps practices. Personal AttributesProactive nature and autonomous - able to identify opportunities for improvement and drive initiatives to completion. Great problem-solving abilities with a focus on root cause analysis and long-term solutions. Empathy for developers and a commitment to improving their daily experience. You are fluent in English and Spanish Eligibility to work in Spain Hiring Process1️⃣ HR interview (20 - 30 min) - We know each other, we know your concerns, validate details and experience and we tell you more about Landbot (20 min)2️⃣ Interview with Engineering Director (60 min) - Initial interview to get to know each other. We will check your background and product mindset and you will see if we are a good fit for you3️⃣ Interview with the team (120 min) - You’ll meet members of our team to go deeper into your technical experience, how you approach problem-solving, system design and architecture decisions, as well as how you collaborate with others to deliver solutions. It’s a two-way conversation, so feel free to ask about our challenges, tech stack, and ways of working.4️⃣ Meet the Founders (30 min) - Final conversation to ensure alignment on vision and values.BenefitsHybrid work model: flexibility to work remotely, from our Barcelona office ️, or a combination of both. Collaborative work environment. Flexible working hours. Paid time off and flexible holidays: 26 paid days per year (23 regular days + December 24th & 31st) , plus one additional day off on your birthday. Annual budget for training and professional development . Transportation ticket