Remote Lead Enterprise Software Engineer

Sequoia Connect; Ciudad de México; A distancia; USD 40,000 - 70,000; Jornada completa

Descripción de la vacante

A leading company in IT and consulting services seeks a Cloud Network Engineer / Lead. The role includes developing Python code for cloud automation, designing APIs, and integrating AI technologies into workflows. With a fully remote setup, this position is ideal for candidates looking to leverage their cloud expertise in an innovative environment.

Formación

• 5+ years in Python development with a focus on cloud.
• Proficient with AWS and Azure services.
• Experience with Terraform and Docker, Kubernetes.

Responsabilidades

• Develop scalable Python code for cloud automation.
• Implement Web APIs using Django or Flask.
• Integrate AI/ML technologies into cloud workflows.

Conocimientos

Cloud automation

Python development

API design

Containerization

AI/ML integration

Infrastructure as Code

DevOps Practices

Descripción del empleo

Reasons could include the position has been filled or the company is not accepting new applicants.

Remote Lead Enterprise Software Engineer

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

Their Digital offerings have helped clients achieve operational excellence and customer delight, focusing on leadership in customer intimacy as a competitive advantage. They are transforming customer experiences through their industry-leading delivery model: Automate Everything, Cloudify Everything, Transform Customer Experiences.

The company powers complex technology solutions through Bottom-Up Disruption, a crowdsourcing initiative fostering innovation and growth. With a diverse workforce of 19,833 employees worldwide, they embody the philosophy of ‘customer success, first and always’. In 2020, they reported a global revenue of USD $845.04 Mn.

We are currently seeking a Cloud Network Engineer / Lead:

Responsibilities:

• Develop efficient, scalable Python code focused on cloud automation.
• Design and implement Web APIs using frameworks like Django or Flask.
• Integrate AI/ML technologies into cloud workflows, including predictive scaling and anomaly detection.
• Work with AWS (EC2, Lambda, S3) and Azure (App Service, Azure Functions).
• Use Infrastructure as Code (IaC) tools like Terraform for cloud deployment automation.
• Utilize containerization (Docker) and orchestration (Kubernetes) technologies.
• Design RESTful services and integrate third-party APIs for automation.
• Follow security best practices, including IAM policies and encryption.
• Implement serverless architectures with AWS Lambda or Azure Functions.
• Monitor environments using tools like Prometheus or Datadog, incorporating AI-driven anomaly detection.
• Guide SDK consumption and best practices.
• Apply AI technologies such as LLMs, RAG, and Prompt Engineering to improve solutions.
• Collaborate within Agile teams to deliver high-quality software iteratively.

Requirements:

• 5+ years in Python development, emphasizing cloud automation.
• Proficiency with Python frameworks like Django or Flask.
• Extensive experience with AWS and Azure cloud services.
• Strong skills in IaC tools like Terraform and containerization with Docker and Kubernetes.
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and their integration into cloud workflows.
• Experience designing APIs, RESTful services, and automating cloud processes.
• Understanding of cloud security best practices and version control (Git).
• Experience with serverless architectures and Agile methodologies.
• Hands-on experience with monitoring tools such as Prometheus or Datadog.

Languages:

• Advanced spoken English.
• Native Spanish.

Note:

• Fully remote position.

If you meet these qualifications and seek new challenges, apply now to join an award-winning employer. Explore all our job openings on the Sequoia Careers Page.

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