Cloud Engineer

Are you a tech wizard driven by the magic of cloud, data, and AI? Do you thrive in dynamic environments where innovation dances with security? Then prepare to unleash your superpower with this exceptional opportunity!

We're looking for a Cloud & Data Architect who's not just tech-savvy, but passionate about shaping the future. This isn't just a job; it's an adventure into the cutting edge, where you'll build, secure, and optimize a data-driven cloud ecosystem that fuels our success.

Intrigued? Here's a taste of the excitement:

KPI

• Develop Reusable Components:

  • Objective: Design and implement cloud components with reusability in mind.

  • KPI: Ensure that 50% of the developed components are created as reusable components, reducing redundancy and promoting efficiency in future projects.

• Implement Infrastructure as Code (IaC):

  • Objective: Emphasize Infrastructure as Code (IaC) practices for cloud resource provisioning and management.

  • KPI: Achieve 100% IaC implementation for all cloud resources, utilizing AWS CDK and optionally Terraform, to enhance deployment consistency and scalability.

• Test and Documentation Coverage:

  • Objective: Prioritize testing and comprehensive documentation to ensure system reliability and knowledge transferability.

KPI: Maintain a test and documentation coverage of at least 50% for all developed components, promoting robustness, ease of maintenance, and knowledge sharing within the team.

Areas of Responsibility

1. Cloud Governance and Security:

   • Implement and manage cloud governance practices.

   • Design and enforce network security measures within cloud environments.

   • Ensure Infrastructure as Code practices using AWS CDK and Terraform.

2. Application Development and DevOps:

   • Develop application components and implement DevOps practices.

   • Collaborate with development teams for prototype development and web development initiatives.

3. Data Management:

   • Build and maintain ETL pipelines for efficient data transformation.

   • Create and manage data lakes and data warehouses in the cloud.

4. Machine Learning Collaboration:

   • Collaborate with the data science team.

   • Implement and optimize machine learning workflows, including AI services integration.

• Programming Skills:

  • Proficient in Python for scripting, automation, and data manipulation.

  • Experience with JavaScript (JS) is a significant advantage.

  • Familiarity with web development concepts is a plus.

• Cloud Expertise:

  • Strong understanding of AWS services, with a focus on cloud governance, network security.

  • Experience with Infrastructure as Code (IaC) using AWS CDK.

  • Experience with Terraform is an advantage.

  • Experience with GCP is a plus.

• Data Expertise:

  • Knowledge of ETL processes and data transformation using tools like Pandas.

  • Competency in building and managing data lakes and data warehouses in the cloud.

• Machine Learning:

  • Experience with machine learning workflows and integrating AI services via APIs.

  • Familiarity with AI/ML frameworks, such as Langchain, Llamaindex.

  • Exposure to Generative Search technologies like ChromaDB and Weaviate is a significant plus.

• Cloud Architecture:

  • In-depth knowledge of AWS services and architecture.

  • Understanding of cloud-based security best practices.

• Data Management:

  • Familiarity with streaming and batch processing concepts.

• Machine Learning Lifecycle:

  • Knowledge of the end-to-end AI/ML workflow and lifecycle.

• Emerging Technologies:

  • Awareness of emerging technologies and frameworks in machine learning.

• Cloud Implementation:

  • Proven experience in implementing cloud solutions, with a primary focus on AWS and additional exposure to GCP.

• Infrastructure as Code:

  • Successful deployment of Infrastructure as Code using AWS CDK and/or Terraform.

• Data Management:

  • Previous involvement in building and maintaining ETL pipelines.

• Machine Learning Implementation:

  • Hands-on experience with machine learning frameworks and AI services.

Development Exposure:

Exposure to web development and prototype development is a plus.

• Scientific or engineering challenges

• Work with disruptive deep-tech startups

• Work with rock stars (senior-level engineers, Ph.D.)

• Meaningful social and environmental projects

• Transparent, professional growth plan depending on your impact

• Remote work from any location

• Flexible working hours

• Regular Team Building & company-wide team events
  

• Allocation: 0.5 FTE (Duration: 12 weeks)

• Time zone: the customer is in Europe timezone

• Start date: 29 Jan 2024