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Cloud & DevOps Engineer (Azure - GCP)

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Home, Klouékanmè, Kouffo
Senior level
In-Office or Remote
Hiring Remotely in Home, Klouékanmè, Kouffo
Senior level
Design, provision, and govern Azure and GCP cloud infrastructure with IaC (Terraform); build CI/CD pipelines; manage containerized microservices (Docker, Kubernetes); implement monitoring/observability; troubleshoot incidents and optimize cost, security, and scalability across environments.
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Job Title:

Cloud & DevOps Engineer (Azure - GCP)

Job Description

Cloud & DevOps Engineer (Azure - GCP) - Remote Brazil

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.

We are seeking a Cloud & DevOps Engineer to join our technology team and serve as a cornerstone for supporting, automating, and evolving our infrastructure. In this role, you will design, implement, and maintain resilient, secure, and scalable cloud environments, while bridging the gap between development and operations teams through a culture of continuous automation.

The ideal candidate possesses a strong "Infrastructure as Code" (IaC) mindset, a obsession for process automation and proactive monitoring, and hands-on experience supporting high-availability ecosystems handling large volumes of data.

Responsibilities

1. Cloud Architecture, Provisioning, and Governance

  • Infrastructure as Code (IaC): Design, provision, and maintain cloud infrastructure using automation tools (such as Terraform), ensuring replicable and standardized environments.
  • Network & Security Management: Configure and manage secure network topologies (VNets/VPCs, peering, subnets, firewalls, gateways, and routing).
  • Governance & FinOps: Monitor cloud resource utilization, applying architectural optimization practices to ensure maximum financial efficiency and cost control.

2. Automation & Delivery Cycle (CI/CD)

  • Deployment Pipelines: Build, optimize, and maintain automated CI/CD pipelines, reducing delivery times and mitigating production risks.
  • Environment Standardization: Ensure parity and technical consistency across development, staging (QA/homologation), and production environments.

3. Containerization & Orchestration

  • Container Management: Design and manage microservice-based environments using Docker and orchestration platforms (such as Kubernetes, Azure Container Apps, or similar).
  • Architectural Evolution: Support software development teams in migrating systems and services to cloud-native architectures.

4. Telemetry, Observability, and Operations

  • Proactive Monitoring: Implement and manage monitoring, logging, and telemetry tools (such as Prometheus, Grafana, Datadog, or Azure Monitor) to ensure high availability and identify bottlenecks before they impact business operations.
  • Support & Resilience: Troubleshoot complex infrastructure incidents, conduct root-cause analyses (Post-Mortems), and implement continuous improvements for security and fault tolerance.

Qualifications

  • Solid hands-on experience administering enterprise cloud providers (with a strong focus on Microsoft Azure and GCP).
  • Advanced expertise in Infrastructure as Code (IaC) tools, especially Terraform.
  • Proven experience in creating and maintaining CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab, or Jenkins).
  • Strong domain knowledge in container ecosystems and orchestration (Docker and Kubernetes / Container Apps).
  • Experience with cloud network administration, information security, and identity management (IAM/RBAC).
  • Hands-on experience monitoring and supporting environments integrating relational databases (SQL Server) and Big Data / Data Engineering pipelines (such as Databricks ecosystems or similar).
  • Deep understanding of DevOps culture and agile frameworks (Scrum, Kanban) tailored to infrastructure management and delivery.
  • Fluent in English.
  • Knowledge of best practices in data governance, auditing, and security compliance.
  • Excellent communication skills to work collaboratively across multiple development squads and technical leadership.
  • Sharp analytical and troubleshooting capabilities for complex technical issues.
  • Proactive mindset focused on automation and eliminating repetitive manual tasks (toil reduction).
  • Familiarity with LLMOps/MLOps concepts and tools for automating AI solution lifecycles.
  • Knowledge of provisioning and monitoring managed AI services (such as Azure OpenAI Service or Google Vertex AI) and vector databases.
  • Hands-on experience with AIOps-based observability tools for proactive production anomaly detection.
  • Practical application of Generative AI tools (such as GitHub Copilot and cloud assistants) for infrastructure routine automation and code writing (IaC).

Join us and be part of this journey towards greater opportunities and brighter futures.

Location:

BRA Work-at-Home

Language Requirements:

Brazilian Portuguese (Required), English (Required)

Time Type:

Full time

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