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An innovative startup is seeking a motivated Senior Tech Engineer intern to gain hands-on experience in a dynamic environment. This role focuses on developing and maintaining scalable ETL/ELT pipelines using AWS tools, collaborating closely with data scientists and engineers. Ideal candidates will have a solid foundation in Data Engineering and DevOps, with a strong eagerness to learn and contribute. This unpaid internship has the potential to evolve into a co-founder CTO position, offering a unique opportunity to shape the future of the company while gaining invaluable experience in the tech industry.
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Anima People adopts a socio-technical approach to security and helps protect an organisation's best assets using psychological methodology in the management of human-related risk and prevention of cybersecurity incidents.
PsycSec is a security engagement and awareness platform that uses human intelligence data, including psychometrics, to measurably reduce organizations’ risk of internal and external security breaches and, through AI, and an intelligence powered LMS, provides security teams with customised measures to mitigate risk. Intelligence First.
We are welcome to the team a motivated and enthusiastic Senior Tech Engineer intern who wants to get hand on experience in a Startup environment.
Responsibilities
We are looking for an all-rounder with leadership skills and skills in the above areas who can help lead us to a fully integrated platform.
We specifically are interested in those within Data Engineering and DevOps experience.
What You’ll Do
• Assist in building and maintaining scalable ETL/ELT pipelines using tools on AWS (Lambda, S3, Glue, Redshift, RDS, etc.)
• Work closely with data scientists and engineers to ensure data is accessible, reliable, and well-structured
• Support database design, optimization, and management for structured and unstructured data
• Monitor and maintain data pipelines for performance and reliability
• Help automate workflows using CI/CD tools and infrastructure as code (IaC)
• Document processes, data flows, and architectural decisions
• Identify opportunities for improving data efficiency and reliability
What We’re Looking For
• 6 months to 1 year of hands-on experience in a DataOps, Data Engineering, or DevOps-like role (internship or project-based work is fine)
• Familiarity with AWS services such as S3, Lambda, RDS, Glue, and Redshift
• Good understanding of SQL and relational databases; experience with NoSQL (e.g., DynamoDB, MongoDB) is a plus
• Experience with Python for scripting or automation
• Basic knowledge of data pipeline orchestration tools (e.g., Apache Airflow, AWS Step Functions)
• Awareness of CI/CD practices, Docker, or infrastructure as code tools like Terraform is a plus
• A strong eagerness to learn, take ownership, and contribute in a collaborative environment
Bonus Skills
• Exposure to big data tools like Spark or Kafka
• Experience working with version control systems like Git
Please note this is a voluntary unpaid internship for 6 months Monday to Friday. This role has the potential to grow into a co-founder CTO position on a vested equity basis.
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