No-Code Developer

Contract - Remote / Istanbul

About the role

As a No-Code Developer at Aenigma, you will contribute to our integration and automation efforts. Your role is pivotal in streamlining processes and ensuring seamless interoperability among our customers' diverse tools and platforms.

We seek an innovator who can grasp the bigger picture, connect the dots, and craft solutions that amplify our operational efficiency. Your role is more than just about connecting A to B; it’s about understanding the why, the how, and the what if.

What we expect from our No-Code Developer:

  • Experience with no-code tools we use, namely Make (Integromat) and Zapier.
  • Integrate and streamline operations between various tools, such as Airtable, OpenAI, Slack, Whatsapp, Hubspot, and Sendgrid.
  • Transform raw data into meaningful insights, aiding decision-making processes.
  • Be the troubleshooting guru, always a step ahead in foreseeing challenges and ready with solutions.
  • Constantly stay updated with the no-code/low-code domain advancements, ensuring Aenigma remains at the forefront of what is possible.
  • Collaborate with client teams to identify bottlenecks and design automation solutions that enhance productivity.
  • Problem-solving Acumen: Anticipate challenges and craft preemptive solutions.
  • User-Centric Approach: Ability to design solutions keeping the end user’s experience in focus.

Additional Information

We are looking for a fresh graduate or a student in the third or fourth year of their bachelor’s degree who is based in Istanbul and can work remotely four days a week with flexible working hours. We expect the candidate to be able to start working as of July 2024.

Join the team that makes magic happen.

Meet our company founders Ulu and Gizem

Portrait photo of co-founder Dan

Gizem takes care of day to day business operations, ensures projects run smoothly and finds the best  talent to help execute projects.

Portrait photo of co-founder Adam

Ulu provides creative direction for the business and ensures all projects will be built to maximize efficiency and learnings for the next iterations.