Barden's Client Representation
Barden is delighted to act on behalf of our client in appointing a Lead Software Engineer to their expanding AI team. You’ll collaborate on innovative projects within an agile team, combining the dynamic spirit of a start-up with the solid support of an established corporation. Your role will empower you to influence product development, creating cutting-edge business engagement tools that positively impact people’s lives.
Engineering Manager's Message
“Within our team, you'll collaborate on products and solutions that fuel our mission to improve lives and advance healthcare. Here, you'll play a role in shaping a crucial industry. Your expertise and passion have the potential to elevate everything we influence.”
About the Role
- This role is suitable for a Software Developer with a DevOps mindset who can bring an application from its initial stages to full production, ensuring it remains maintainable, high-quality, secure, and performs optimally.
- You will work closely with the development team to break down big requirements into smaller, testable parts.
- Create effective automated tests for the application.
- Handle multiple projects simultaneously.
- Thrive in a collaborative team environment.
- Be able to work under tight deadlines.
- Provide support for critical applications running in production.
About the Person
- At least 8 years of relevant software development experience.
- Significant experience in Python is essential.
- Familiarity with Azure Cloud.
- Experience with CI/CD tools like GitHub Actions.
- Strong understanding of automated testing, Docker, Kubernetes, REST APIs, and security fundamentals.
- Knowledge of databases (both relational and non-relational).
- Experience leading large projects.
Additional Skills
- Experience with any or all the following is a plus:
- Exposure to Azure AI services, Generative AI, and Large Language Models.
- Familiarity with Infrastructure as Code (e.g., Terraform).
- Some Linux administration skills.
- Comfortable with scripting (e.g., Bash).
Expertise level
Work arrangement
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