Platform Site Reliability Engineer
Landbot
Full time. While this is a remote position, we are currently only considering candidates between UTC-1 to UTC +2.
Operating 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.
You'll join our Platform Engineering team, a small, focused group responsible for building and maintaining Landbot Engineering Platform, Data Platform and Security.
The 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 Platform
Design and implement core platform services (CI/CD pipelines, infrastructure provisioning, and observability systems).
Manage and optimize cloud resources, Kubernetes clusters, databases, and networking for reliability, scalability, and cost optimization.
Lead incident response, conduct blameless postmortems and drive continuous improvement.
Enhance Developer Experience and Drive Platform Strategy
Partner with application teams (platform customers) to understand their workflows and pain points, gather feedback, and prioritize improvements aligned with business objectives.
Drive decisions through written formats (RFCs, ADRs) that document architectural choices.
Measure platform success through developer productivity metrics, adoption rates, and toil reduction.
3-5 years experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, or DevOps roles, or as a full-time freelancer in similar roles.
- Experience building internal platforms or developer tooling, or enabling platform capabilities from application teams, with a platform-as-product mindset focused on developer experience.
- Technical Skills
Experience with cloud platforms ( GCP , AWS, Azure)
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.
Experience with database performance tuning, query optimization, replication strategies, and database scaling in production 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).
Personal Attributes
Great problem-solving abilities with a focus on root cause analysis and long-term solutions.
You are fluent in English and Spanish
2️⃣ Interview with Engineering Director (60 min) - Initial interview to get to know each other. 3️⃣ 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.
Hybrid work model: flexibility to work remotely, from our Barcelona office #127961;️, Flexible working hours.
Paid time off and flexible holidays: plus one additional day off on your birthday.
Annual budget for training and professional development #128218;.
English and Spanish lessons #127468;#Flexible compensation plan through Cobee.
Team-building activities.
Referral program with bonuses for bringing in talented professionals.
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