Project description
We are looking for a Software Engineer specializing in Python to design, develop, and potentially maintain scalable cloud-native applications and ETL data pipelines. The role includes API integrations, Kubernetes-based deployments, and collaboration with technical and business stakeholders.
This role is for subcontractors.
Responsibilities
- Own timelines and deliverables, proactively managing scope, dependencies, and execution risks
- Independently design and deliver software solutions by engaging stakeholders and challenging assumptions
- Build backend services and RESTful APIs aligned to those designs
- Develop cloud-native applications (AWS preferred)
- Implement workflow automation and data pipelines where needed
- Contribute across the full software development lifecycle, including CI/CD
- Ensure solutions are production-ready, including testing, documentation, and handover
- Act as a reliable execution partner, escalating issues early when required
SKILLS
Must have
- Strong communication skills and the ability to work effectively with technical and business stakeholders
Strong working knowledge of Python 3.x fundamentals, including data structures, functions, modules, exception handling, and object-oriented programming
Experience designing, developing, and maintaining scalable cloud-native applications
Hands-on experience with Kubernetes
Experience with at least one major cloud provider: AWS, Azure, or Google Cloud Platform
Experience creating and maintaining ETL data pipelines
Experience developing and integrating APIs
Proficiency with Git and CI/CD tools, preferably GitHub Actions
Nice to have
Hands-on experience with AWS
Experience using Pydantic
Proficiency with AI-assisted development tools such as Claude and GitHub Copilot