Python Engineer | Middle

Description

We're seeking a Python Engineer skilled in Cloud technologies to support a strategic initiative for one of our major clients. You will build, refine, and deploy secure, scalable solutions leveraging Python and contemporary cloud platforms. Working alongside cross-functional teams will be critical to developing innovative software systems that tackle complex business problems and support digital transformation efforts. This position operates under a hybrid model, with three in-office days per week required at either our Krakow or Gdansk location. Responsibilities Develop high-quality software using Python across web applications, APIs, data pipelines, AI/ML models, and automation tools Architect and oversee cloud-based systems on platforms such as AWS, Azure, or Google Cloud Platform (GCP) Build scalable microservices and serverless applications leveraging cloud-native tools and frameworks Enhance data pipelines and workflows through Python and cloud services like AWS Lambda, Azure Functions, or GCP Cloud Functions Strengthen system reliability and scalability through best coding practices, automated testing, and robust monitoring Collaborate with product, operations, and engineering teams to gather requirements, refine features, and roll out solutions Establish CI/CD pipelines to improve deployment efficiency within cloud environments Troubleshoot production issues and enhance system performance across cloud infrastructures Stay current with Python developments, cloud innovations, and emerging tools Guide junior team members, conduct code reviews, and maintain quality standards throughout the team Requirements Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent hands-on experience Minimum 3 years of Python development experience, particularly with frameworks like Django, Flask, or FastAPI Professional experience with cloud platforms such as AWS, Azure, or Google Cloud, along with practical use of related services Proficiency in cloud-native technologies such as Docker, Kubernetes, and serverless frameworks Ability to design RESTful APIs and integrate third-party services Familiarity with database technologies, spanning relational databases like MySQL/PostgreSQL and non-relational options like MongoDB/DynamoDB Solid grasp of software development best practices, Agile methodologies, Git version control, and unit testing Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline Sharp analytical and problem-solving skills for addressing technical obstacles Strong communication skills and capacity to work effectively within team environments Nice to have Experience in AI or ML technologies

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent hands-on experience

• Minimum 3 years of Python development experience, particularly with frameworks like Django, Flask, or FastAPI

• Professional experience with cloud platforms such as AWS, Azure, or Google Cloud, along with practical use of related services

• Proficiency in cloud-native technologies such as Docker, Kubernetes, and serverless frameworks

• Ability to design RESTful APIs and integrate third-party services

• Familiarity with database technologies, spanning relational databases like MySQL/PostgreSQL and non-relational options like MongoDB/DynamoDB

• Solid grasp of software development best practices, Agile methodologies, Git version control, and unit testing

• Hands-on experience with CI/CD tools such as Jenkins, GitHub Actions, Azure DevOps, or AWS CodePipeline

• Sharp analytical and problem-solving skills for addressing technical obstacles

• Strong communication skills and capacity to work effectively within team environments

Responsibilities

• Develop high-quality software using Python across web applications, APIs, data pipelines, AI/ML models, and automation tools

• Architect and oversee cloud-based systems on platforms such as AWS, Azure, or Google Cloud Platform (GCP)

• Build scalable microservices and serverless applications leveraging cloud-native tools and frameworks

• Enhance data pipelines and workflows through Python and cloud services like AWS Lambda, Azure Functions, or GCP Cloud Functions

• Strengthen system reliability and scalability through best coding practices, automated testing, and robust monitoring

• Collaborate with product, operations, and engineering teams to gather requirements, refine features, and roll out solutions

• Establish CI/CD pipelines to improve deployment efficiency within cloud environments

• Troubleshoot production issues and enhance system performance across cloud infrastructures

• Stay current with Python developments, cloud innovations, and emerging tools

• Guide junior team members, conduct code reviews, and maintain quality standards throughout the team

Seniority

• Middle

Nice to have

• Experience in AI or ML technologies