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Workato seeks a Python Developer to develop, test, and deploy Python-based applications and services. Workato is the only integration and automation platform that is as simple as it is powerful.
flexible culture
trust-oriented
self-care
Workato logo

Senior Software Engineer (Python)

Nicosia, Cyprus•On-site

Full-time

python
machine learning
aws
kubernetes
devops

About Workato

Workato is the only integration and automation platform that is as simple as it is powerful — and because it’s built to power the largest enterprises, it is quite powerful.

Simultaneously, it’s a low-code/no-code platform. This empowers any user (dev/non-dev) to painlessly automate workflows across any apps and databases.

We’re proud to be named a leader by both Forrester and Gartner and trusted by 7,000+ of the world's top brands such as Box, Grab, Slack, and more. But what is most exciting is that this is only the beginning.

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an “enterprise startup to bet your career on”

  • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

We are seeking a talented and motivated Python Developer with expertise in designing and developing distributed systems and web applications. The ideal candidate will have a strong background in Python programming, experience with the development of production web systems, and interest in the development and deployment of Machine Learning applications. You will collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions.

In this role, you will also be responsible to:

  • Develop, test, and deploy Python-based applications and services utilizing AWS and Kubernetes.

  • Participate in the design and development of distributed systems, web applications and bringing up to production Machine Learning algorithms and solutions.

  • Optimize and maintain code for performance, reliability, and scalability.

  • Conduct code reviews and ensure adherence to best practices in software development.

  • Work closely with stakeholders to understand requirements and deliver innovative solutions.

Requirements

Qualifications / Experience / Technical Skills

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Proven experience as a Python Developer, with a focus on AI and machine learning projects.

  • Strong understanding of machine learning concepts and frameworks (e.g.FastAPI/Pydantic/Pytest ).

  • Proficiency in Python programming and familiarity with software development best practices.

  • Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models in a cloud environment.

  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication skills and the ability to articulate technical concepts to non-technical stakeholders.

  • Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Github Actions).
  • Knowledge of other programming languages (e.g., Ruby) is a plus.

  • Experience with version control systems (e.g., Git).

Soft Skills / Personal Characteristics

  • Strong written and oral communication skills in English

  • Collaborative team player seeking continuous improvement opportunities

  • Adaptability to a dynamic startup environment, proactive with outside-the-box thinking