• Diseño, implementación y mantenimiento de pipelines de CI/CD para automatizar los despliegues de aplicaciones. • Aprovisionamiento y administración de la infraestructura cloud principal (Azure) mediante Terraform. • Soporte, optimización y resolución de incidencias en entornos de Google Cloud Platform (GCP) cuando el proyecto lo requiera. • Monitoreo, escalabilidad y aseguramiento de la alta disponibilidad de clústeres de Kubernetes (AKS). • Coordinación directa con los equipos de desarrollo y arquitectura sobre aspectos técnicos y de despliegue. • Investigación y propuesta de mejoras en seguridad, rendimiento y optimización de costos en la nube.

Role Description Profissional de nível Pleno/Sênior que atue com (Devops/AWS). - Liderar a instrumentação ponta a ponta de métricas (infraestrutura e aplicação), logs estruturados e tracing distribuído, garantindo visibilidade do ecossistema. - Implementar, evoluir e gerenciar ferramentas de Application Performance Monitoring (APM) para identificar gargalos e otimizar a experiência do usuário. - Definir, implementar e monitorar SLIs, SLOs e Error Budgets, apoiando o equilíbrio entre inovação e estabilidade. - Planejar e executar experimentos de Chaos Engineering para validar hipóteses de falha e fortalecer a arquitetura. - Definir políticas de alertas preditivos, reduzindo fadiga de alertas e acelerando a resposta a incidentes. - Atuar de forma transversal apoiando pipelines de Engenharia de Dados e arquiteturas de microsserviços (APIs REST) na AWS. Qualifications - Domínio avançado de Datadog para dashboards, monitores, APM e Log Management. - Experiência sólida com AWS, Docker e Kubernetes (EKS). - Vivência em automação de infraestrutura e monitoramento. - Conhecimento prático dos pilares de SRE, incluindo gerenciamento de incidentes, SLIs, SLOs e Error Budgets. - Conhecimento de arquitetura de sistemas distribuídos, Alta Disponibilidade (HA), tolerância a falhas e resiliência. Requirements - Infraestrutura como Código com Terraform, Pulumi ou CloudFormation. - Observabilidade em Engenharia de Dados, incluindo pipelines de Big Data (Apache Airflow, Spark ou similares). - Conhecimento em SecOps/DevSecOps e Observability-driven Security. - Certificações AWS (ex.: AWS Certified DevOps Engineer) ou Kubernetes (CKA/CKAD). Benefits - Goste de trabalhar em equipe e seja colaborativa em suas atribuições. - Tenha coragem para se desafiar e ir além, abraçando novas oportunidades de crescimento. - Transforme ideias em soluções criativas e busque qualidade em toda sua rotina. - Tenha habilidades de resolução de problemas. - Possua habilidade e se sinta confortável para trabalhar de forma independente e gerenciar o próprio tempo. - Tenha interesse em lidar com situações adversas e inovadoras no âmbito tecnológico.

• Drive infrastructure-as-code and CI/CD pipeline engineering across our cloud environments. • Own the design, implementation, and continuous improvement of Terraform-managed infrastructure. • Work closely with development and platform teams to increase deployment velocity, reliability, and security. • Design, build, and maintain modular, reusable Terraform code for provisioning and managing cloud infrastructure across dev, staging, and production environments. • Implement and enforce Terraform state management, workspace strategy, and module versioning. • Establish and follow IaC best practices: code review standards, automated plan/apply workflows, drift detection, and policy-as-code guardrails. • Identify and remediate technical debt in existing infrastructure code. • Collaborate with architecture and security teams to ensure infrastructure design aligns with security baselines and compliance requirements. • Design, build, and continuously improve CI/CD pipelines that automate build, test, security scanning, and deployment of applications. • Standardize pipeline patterns across teams/repositories. • Implement deployment safety mechanisms: automated testing gates, canary/blue-green deployments, rollback automation, and release approvals. • Partner with development teams to identify and remove build/deploy friction. • Monitor pipeline health and performance. • Participate in on-call rotation and incident response for infrastructure and deployment-related issues. • Mentor junior engineers on Terraform and CI/CD best practices as opportunities arise.

Role Description As a Lead DevOps Engineer, you will be responsible for leading the design and implementation of the infrastructure and CI/CD pipelines for our applications, as well as maintaining and improving the reliability of our existing systems. You will work alongside the Wolters Kluwer Product Teams to successfully implement and bring any learnings through continuous improvements. You will work closely with the application development teams to ensure that our services and solutions are delivered efficiently and with the highest level of quality. In addition, you will be responsible for mentoring a team of DevOps engineers, fostering a culture of collaboration with continuous learning. - Design, implement and automate the creation of Cloud Infrastructure in Azure & AWS using Infrastructure as Code tools such as Terraform, Ansible and Jenkins. - Provide leadership, experience and mentoring on the adoption and usage of Infrastructure as Code automation across Service Operations and Delivery and as well as the broader organization. - Build and help transform towards container and serverless compute architectures, such as AKS, EKS, Docker and Azure Functions. - Build and help maintain CI/CD pipelines and orchestrations across multiple environments. - Advise, implement and support the adoption of Cloud Native solutions as appropriate to the situation and needs. - Build effective Observability of managed solutions, including troubleshooting issues as they arise. - Ensure the infrastructure, automation, monitoring, and CI/CD solutions for FCC/DXG are compatible with the broader organizational DevOps and Security patterns and processes. - Mentor a team of DevOps engineers, fostering a culture of collaboration and continuous learning. - Explore new technologies, development patterns, and partake in pilots/POC/technology evaluations. - Conduct work activities using SRE principles, such as resilience, metrics, capacity planning, toil, Incident management and security. - Provide input into architecture and engineering standards. - Deploy and maintain critical applications. - Provide input into designing new systems and modernize existing applications. - Identify areas in need of engineering improvements and propose replacement strategies. - Resolve Production Incidents and contribute to root cause analysis. - Improve knowledge sharing across the organization on automation best practices. - Have on call responsibilities in rotation within the Service Delivery and Operations team. Qualifications - Bachelor's Engineering and a Master's degree in Computer Science or a related field. - Minimum 8 years of software related experience required, with a mixture of Site Reliability, DevOps, or Release Engineering experience with Software Engineering experience in backend services, middleware or data systems. - Strong background in software development, with experience in languages such as Python, .NET or Java. - Possess recent experience with Cloud infrastructure (Azure and AWS). - Proficient in Shell Scripting Languages (PowerShell & Bash). - Understanding of the core Azure/AWS services (PaaS, IaaS, SaaS). - Proficiency with automation and source configuration management tools such as Git. - Experience with infrastructure as code tools such as Terraform or CloudFormation. - Experience with continuous integration and deployment tools such as Azure DevOps, Jenkins or Travis CI. - Experience in leading a team of DevOps engineers. - Able to clearly explain technical projects to diverse staff to gain their support. - Strong attention to detail with excellent problem-solving skills. - Experience and deep commitment to the transformation to a DevOps culture focusing on continuous integration – full lifecycle of building, automated and performance testing, and automating deployment. - Experience building platforms for Observability and defining standard operating procedures. - Experience with diagnostic tools and script automation of Windows and Linux. Benefits - A comprehensive benefits package that begins your first day of employment. - Medical, Dental, & Vision Plans. - 401(k), FSA/HSA, Commuter Benefits. - Tuition Assistance Plan. - Vacation and Sick Time. - Paid Parental Leave. - Full details of our benefits are available - Wolters Kluwer Benefits .