Description:

Think-it is a software engineering collective focused on leveraging technology for sustainability and human potential.
The company is offering three end-of-study internship opportunities for final-year students interested in web and AI development.
The 6-month AIOps Internship is designed for students or recent graduates passionate about AI technologies and DevOps practices.
Interns will work on developing AI-driven solutions for knowledge management and decision-making in dynamic environments.
Responsibilities include designing infrastructure architecture, creating serverless backend solutions, implementing CI/CD pipelines, managing infrastructure as code, setting up system observability, and collaborating with team members.

Requirements:

Candidates must possess effective interpersonal, verbal, and written communication skills.
Prior experience or coursework in DevOps, AIOps, or related fields is required.
Strong research, analytical, and problem-solving skills are essential.
Familiarity with AWS and serverless architectures is necessary.
Coding experience in Python, Go, and/or JavaScript is required.
Understanding of CI/CD pipelines, such as GitHub Actions, is needed.
Familiarity with infrastructure as code technologies, preferably Terraform and/or Pulumi, is expected.
Exposure to monitoring and observability tools like OpenTelemetry, Prometheus, DataDog, or CloudWatch is preferred.
Candidates should be passionate about automating processes and improving system efficiency, with a strong desire to learn new technologies quickly.
Being a team player with excellent problem-solving skills and a detail-oriented approach to troubleshooting is important.
Experience with version control systems like Git and a basic understanding of networking concepts are advantageous.

Interns will gain hands-on experience with projects that have a real-world impact.
They will receive mentorship from experienced software engineers and AI specialists.
Interns will be exposed to cutting-edge web technologies and AI applications.
The work environment is flexible and remote-friendly.
Personal learning and development opportunities will be provided.
There is a potential for full-time employment upon successful completion of the internship.