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- Tasks: Build scalable automation solutions and integrate APIs for database management.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Dynamic team environment with potential for career advancement.
- Why this job: Make a real impact by streamlining operations with cutting-edge technology.
- Qualifications: Experience in Python, API development, and problem-solving skills required.
The predicted salary is between 45000 - 55000 £ per year.
Python developer responsible for building scalable automation solutions to streamline database operations.
Required Skills:
- Hands-on experience with API development using Python and FastAPI
- Strong problem-solving, debugging, and analytical skills
Responsibilities:
- Design, develop, and maintain automation solutions for database operations and rollouts
- Build and integrate API for database management operations and automation workflows
- Troubleshoot automation issues across scripting, APIs, and containerized environments
- Containerize and deploy application/services using Docker and Kubernetes
- Administration for Kubernetes resources: Pods, Ingress, Services, Secrets, CRDs, etc.
Nice to have:
- Exposure on enhancing observability with knowledge of tools such as Prometheus, Grafana, and OpenTelemetry
- Advantageous to have enterprise tools knowledge (e.g., Control M, TrueSight, Guardium, Tenable, Nessus, Delinea)
- Knowledge of security and software development in a highly regulated environment
- End-to-end knowledge of build, package, test, and deployment of CI/CD pipelines
- Experience using Agile practices and tools (e.g., JIRA)
- Exposure to managing secrets using HashiCorp Vault
- Exposure and working knowledge of PostgreSQL (PostgreSQL Database Administration) or MongoDB (MongoDB Atlas)
Skills:
- Mandatory Skills: API Gateway, Python
- Good to Have Skills: Appium-Python (Testing), Docker, Kubernetes, Playwright (Python Testing), Python (Data Science)
Python Developer employer: TESTQ Technologies
Contact Detail:
TESTQ Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to fellow developers, attend meetups, and join online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving API development and automation solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your experience with tools like Docker and Kubernetes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Python developers like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and API development. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable automation solutions and how your problem-solving skills can benefit us at StudySmarter.
Showcase Your Projects: If you've worked on any cool projects involving Docker, Kubernetes, or database management, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at TESTQ Technologies
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around API development using FastAPI. Be ready to discuss your past projects and how you've used Python to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled debugging and troubleshooting in previous roles. Think about challenges you've faced with automation solutions and how you resolved them.
✨Familiarise Yourself with Containerisation
Since the role involves Docker and Kubernetes, it’s crucial to understand how to containerise applications and manage Kubernetes resources. Be prepared to discuss your experience with these technologies and any relevant projects.
✨Highlight Your Agile Experience
If you've worked in Agile environments, make sure to mention this during the interview. Discuss how you've used tools like JIRA to manage tasks and collaborate with teams effectively.