Our client is a fast-growing automation-led next-generation service provider delivering excellence in IT, BPO, and consulting services. They are driven by a combination of robust strategies, passionate teams, and a global culture rooted in innovation and automation.

Our client’s Digital offerings have helped clients achieve operational excellence and customer delight. Their focus lies on taking a leadership position in helping clients attain customer intimacy as their competitive advantage. They are now on a journey of metamorphosing the experiences of the customer’s customers by leveraging our industry-leading delivery and execution model, built around the strategy— Automate Everything™, Cloudify Everything™, Transform Customer Experiences™.

Powering our client’s complex technology solutions and services is the Bottom-Up Disruption, a disruptive crowdsourcing initiative that brings about innovation and improvement to everyday complexities and, ultimately, growing the client’s business. The digitally empowered workforce of our client represents various nationalities, comprising 19,833 employees, and lives the company’s philosophy of ‘customer success, first and always’. The company reported a 2020 global revenue of USD $845.04 Mn.

We are currently searching for a Cloud Network Engineer / Lead:

Responsibilities:

• Develop clean, efficient, and scalable Python code with a focus on cloud automation.
• Design and implement Web APIs using Python frameworks such as Django or Flask.
• Integrate AI/ML technologies into cloud management workflows, including predictive scaling and anomaly detection.
• Work extensively with AWS (EC2, Lambda, S3) and Azure (App Service, Azure Functions) services.
• Utilize Infrastructure as Code (IaC) tools like Terraform to automate cloud deployments.
• Leverage containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
• Design and implement RESTful services, integrating third-party APIs for automation purposes.
• Ensure cloud environments follow security best practices, including IAM policies and encryption strategies.
• Implement serverless architectures using AWS Lambda or Azure Functions.
• Use monitoring tools such as Prometheus or Datadog for AI-driven anomaly detection.
• Provide guidance on SDK consumption and best practices.
• Apply knowledge of AI technologies, including LLMs, RAG, and Prompt Engineering, to enhance solutions.
• Collaborate with Agile teams to deliver high-quality software within iterative development cycles.

Requirements:

• 5+ years of experience in Python development with a strong focus on cloud automation.
• Proficiency in Python frameworks such as Django or Flask.
• Extensive experience with AWS and Azure cloud services.
• Strong expertise in IaC tools like Terraform and containerization technologies such as Docker and Kubernetes.
• Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch) and experience integrating AI/ML into cloud workflows.
• Proficiency in API design, RESTful services, and cloud-based automation.
• Solid understanding of security best practices in cloud environments and version control tools like Git.
• Familiarity with serverless architectures and Agile methodologies.
• Hands-on experience with monitoring tools like Prometheus or Datadog.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Fully remote.

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