Solution/DevOps Engineer - Analytics and Cloud Platforms

As a Solution/DevOps Engineer, you will design, integrate, and maintain advanced analytics solutions on cloud platforms (GCP, Azure, AWS). You will work with a wide range of analytics tools and technologies, with a strong focus on automation, scripting, and CI/CD practices. Your role includes building, fine-tuning, and managing the infrastructure and analytical components for a GenAI-powered chatbot, ensuring seamless operation and real-time monitoring on GCP.

Your role

• Architect and implement analytics-based solutions, leveraging cloud platforms and integrating various analytics technologies.
• Oversee the full life cycle of solutions, from initial concept and development to deployment and long-term maintenance.
• Collaborate closely with stakeholders across business and technical teams, ensuring solutions align with business needs and technical requirements.
• Support automation and CI/CD pipelines for the data analytics platform using tools like Terraform and Azure DevOps.
• Ensure system performance, scalability, and reliability by maintaining infrastructure with automation tools such as Ansible, Puppet, or Terraform.
• Troubleshoot and resolve complex technical challenges quickly to ensure smooth platform operations.

Offer

• Long-term freelance contract
• Solid market rates depending on seniority
• Access to top-notch projects

Requirements

• Leadership & Stakeholder Management: Strong leadership capabilities with the ability to manage multiple stakeholders and effectively communicate with both technical and non-technical audiences.
• Solution Design: Expertise in designing and implementing cloud-based analytics solutions, with a strong ability to connect different technologies and approaches.
• Cloud Platforms: Hands-on experience with cloud platforms (GCP, Azure, AWS), including coding and automation within cloud environments.
• Advanced Analytics & NLP: Familiarity with advanced analytics, data science, and natural language processing (NLP) techniques.
• Automation Tools: Proven experience with infrastructure automation using Terraform (preferred) and familiarity with tools like Ansible or Puppet.
• CI/CD Expertise: Deep understanding of continuous integration/continuous deployment (CI/CD) practices, including versioning, testing, and documentation.
• Software Engineering: Solid foundation in software engineering best practices such as code reviews, version control, and thorough documentation.

Nice to have:

• Programming & Scripting: Proficiency in multiple programming and scripting languages, such as Python, Go, Java, and experience with statistically typed languages like Scala.
• Broad Cloud Experience: Experience with cross-cloud solutions, optimizing analytics deployments across GCP, Azure, and AWS environments.