• Build, deploy, maintain, and troubleshoot scalable Azure cloud infrastructure • Develop and maintain Infrastructure as Code (IaC) solutions • Create, manage, troubleshoot, and improve CI/CD pipelines and deployment automation • Monitor production systems and actively respond to operational alerts, incidents, outages, and performance degradation • Own and manage escalated support tickets and serve as a technical escalation point for operational issues • Investigate and troubleshoot infrastructure, deployment, networking, database, and application related problems • Perform root cause analysis and implement corrective actions to improve long term system stability • Support highly available environments aligned with SLA/SLO objectives • Participate in on call rotations and support critical production incidents as needed • Perform application maintenance, patching, upgrades, and environment support activities • Collaborate with development, security, infrastructure, and support teams to resolve operational issues quickly • Work within Agile/Scrum processes while also handling ad hoc operational and troubleshooting priorities • Implement operational best practices for reliability, security, monitoring, and performance optimization • Maintain operational documentation, deployment standards, troubleshooting guides, and support procedures

• Drive cloud infrastructure operations across AWS environments • Design, implement, and optimize CI/CD pipelines and deployment workflows • Drive Infrastructure as Code adoption using Terraform and automation tools • Manage Kubernetes clusters and containerized application deployments • Ensure platform scalability, reliability, security, and high availability • Implement monitoring, observability, logging, and incident response systems • Support SOC2, HIPAA, and enterprise-grade compliance requirements • Manage identity and access management solutions including Okta and Azure AD • Optimize deployment strategies with rollback and disaster recovery mechanisms • Collaborate with engineering teams to improve release velocity and platform performance • Maintain and modernize legacy Jenkins pipelines where required • Oversee security integrations, SIEM monitoring, and secure access frameworks • Enable AI-assisted DevOps automation and operational efficiency improvements • Support enterprise integrations, ETL systems, databases, and backend services • Mentor DevOps engineers and establish operational best practices.

• Lead installation, commissioning, startup, and validation activities for modular data center deployments across domestic and international environments • Serve as the senior technical field resource during deployment execution and operational readiness activities • Independently execute and oversee deployment plans, commissioning procedures, and infrastructure validation processes • Conduct site assessments and provide technical leadership for field execution, issue resolution, and operational acceptance • Drive deployment quality, operational consistency, and adherence to Armada engineering and safety standards • Lead troubleshooting and root cause analysis efforts across electrical, mechanical, controls/BAS, networking, and monitoring systems • Interpret and apply electrical schematics, mechanical drawings, control diagrams, and infrastructure documentation to resolve complex operational issues • Make independent technical decisions during commissioning, startup, and live operational events • Drive corrective action implementation and long-term reliability improvements based on field findings • Escalate and coordinate resolution of critical infrastructure issues impacting deployment timelines or operational readiness • Lead BMS, EPMS, and DCIM integration, validation, and operational readiness testing activities • Define and execute infrastructure validation procedures to ensure systems meet performance, safety, and operational standards prior to customer turnover • Support incident response, infrastructure recovery efforts, and operational continuity initiatives • Provide technical oversight during system startup, monitoring validation, alarm testing, and infrastructure acceptance activities • Partner directly with Engineering, Manufacturing, Supply Chain, Deployment Leadership, and Customer Operations teams to drive successful deployment execution • Coordinate technical activities with vendors, subcontractors, and field service partners • Provide field-driven operational insights that influence infrastructure design, deployment methodologies, and product reliability improvements • Act as a trusted technical advisor during deployment planning, execution, and operational review activities

Role Description - Apoiar clientes na adoção de soluções de modernização de aplicações e infraestrutura em AWS; - Desenvolver soluções, modelos e ferramentas para a plataforma AWS; - Desenhar, validar e evoluir arquiteturas em nuvem escaláveis, seguras e eficientes, tanto para novos produtos quanto para evolução de soluções existentes; - Provisionar, configurar e gerenciar infraestrutura na AWS; - Definir e implementar pipelines de automação utilizando Infrastructure as Code (IaC) com Terraform, CloudFormation e AWS CDK; - Configurar e manter pipelines de CI/CD para deploy de agentes, aplicações e ferramentas; - Garantir aderência às boas práticas do AWS Well-Architected Framework; - Atuar no levantamento de requisitos junto aos stakeholders; - Compartilhar conhecimento técnico, definir padrões, boas práticas de arquitetura, infraestrutura e governança em nuvem. Qualifications - Certificação AWS Solutions Architect – Professional, comprovando conhecimento em AWS Well-Architected; - Experiência sólida com AWS; - Experiência prática e consistente com AWS CDK (Python), AWS CloudFormation e Terraform; - Vivência em levantamento de requisitos, desenho arquitetural, provisionamento, configuração e desenvolvimento de recursos AWS; - Experiência na estruturação de esteiras CI/CD, uso de containers, Git, boas práticas DevOps e padrões de segurança; Requirements - Desejáveis: Experiência ou atuação com Inteligência Artificial (IA) e MLOps; - Conhecimentos em Analytics.