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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** Sequra - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Cloud Engineering, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Modular Design, Reliability Engineering, Prometheus, DataOps, Software Engineering, Datadog, Policy as Code, Data Logging, Cloud Platform System, Grafana, Containerization, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Data Analytics, Data Management, Machine Learning Operations, Cloud Optimization, Terraform, Software Version Control, Data Pipelines, Jenkins - **Published:** July 6, 2026 - **Apply:** https://www.jobleads.com/es/job/e533b42bc18cfcca554ad5364a09664ae ## About the Role * 7+ years of experience in Platform Engineering, Infrastructure Engineering, Site Reliability Engineering, DevOps Engineering, or similar roles. * Strong experience building and operating cloud-native platforms or distributed systems. * Deep experience with AWS cloud environments. * Solid experience managing Kubernetes-based platforms in production. * Strong experience with Infrastructure as Code (Terraform, Helm). * Experience implementing data observability (freshness, quality checks, alerting…). * Strong engineering rigor: version control, testing, automation, modular design, and documentation. * High autonomy, ownership, and ability to drive technical decisions. * Strong communication skills and ability to collaborate across multiple engineering teams. * Proficiency in English for daily communication, documentation, and technical discussions. * Experience working with AI augmentation tools for daily and engineering tasks., * Experience with IAM in regulated environments. * Experience improving User Experience. * Experience with GitOps practices and tools. * Experience with DBT and Cosmos. * Experience with data mesh technologies. * Experience designing multi-country, multi-tenant data platforms. * Experience with cloud cost optimization and FinOps practices. * Experience implementing security guardrails and policy-as-code. ## Description We're looking for a Senior Platform Engineer to join our Platform Engineering team and help us scale the infrastructure, tooling, and platform capabilities that power software development across seQura. Your mission will be to help evolve our Data Platform, enabling engineering teams to ingest, transform and operate data pipelines efficiently through self-service capabilities, automation, and platform abstractions. You'll design the guardrails, golden paths, and platform services that improve developer experience, increase reliability, and reduce operational complexity across the organization., * Design and evolve the infrastructure under the Data Platform, enabling data engineering teams to provision infrastructure and operate services autonomously. * Identify friction points for data scientists, data engineers and software engineers and build platform capabilities that improve developer experience and productivity. * Design and maintain Golden Paths for pipelines creation, deployment, observability, and operational excellence. * Build self-service workflows that reduce operational overhead and accelerate delivery across teams. * Embed security, reliability, observability, compliance, and access control directly into platform capabilities. * Improve the scalability, performance, resilience, and cost efficiency of our data infrastructure. * Lead architectural discussions and mentor engineers on cloud-native architectures, distributed systems, and platform engineering practices. * Evangelize platform adoption internally and drive platform-as-a-product thinking across engineering teams., * AWS cloud infrastructure under the data platform (Redshift, S3, Postgres, SageMaker…) * Kubernetes applications like Airbyte, Airflow, Metabase or OpenMetadata * Infrastructure as Code foundations and reusable infrastructure modules. * CI/CD tooling and deployment automation. * Observability, monitoring, logging, and alerting definitions. Team structure The Data Platform team works closely with product and data engineering teams across the company, providing shared infrastructure, deployment tooling, observability, and platform services., You'll immerse yourself in our data platform ecosystem, infrastructure, and engineering workflows. You'll meet data analytics and Data Science teams to understand their challenges and identify friction points in their day-to-day. You'll contribute early improvements to our Infrastructure-as-Code, ingestion or orchestration stack, CI/CD pipelines, or observability tooling, with the goal of delivering a tangible data quality improvement. Month 2 You'll start contributing to the long-term data platform roadmap. You'll help define and implement standardized ingestion patterns, reusable abstraction modules, and self-service workflows that reduce cognitive load for data engineers, data scientists and data analytics teams. Your goal will be to simplify and accelerate how teams build and operate the data platform. Month 3 You'll lead a strategic initiative from design to deployment, such as automating components upgrade, establishing a data contract solution or migrating to CDC ingestion. During seQura Week (when the whole company gathers at our Barcelona HQ), you'll present your work to the engineering organization, demonstrating how data platform improvements enable teams to use data in a more reliable, accurate and efficient way. Tech stack & environment Our infrastructure runs on AWS with Kubernetes (EKS) and everything is managed via Terraform and Helm. CI/CD is handled through GitHub Actions and Jenkins. Our observability stack includes Prometheus, Grafana, Thanos, Elastic, and Tempo. Infrastructure automation and platform tooling are primarily built using Python, Terraform, Helm, and Kubernetes-native technologies. Our data platform is composed of SageMaker for MLOps, Redshift as datawarehouse, Airflow for orchestration and Airbyte for ingestion. Apart from that OpenMetadata and Metabase help users consume the data we ingest and process. 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