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Developer III, Python
Confidencial.io. Develop, maintain, and enhance internal products in Python within a cloud-based, serverless architecture.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python development within cloud-based, serverless architectures, with a strong focus on user needs and delivering value through collaboration and innovative solutions. Familiarity with data engineering, machine learning, and AI integration enhances the ability to propose impactful improvements.
Highest-signal resume keywords
Python DevelopmentCloud Platform ExperienceData EngineeringAI IntegrationServerless Functions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python DevelopmentData EngineeringMachine LearningAI IntegrationServerless FunctionsCI/CDGitHub ActionsCloud FunctionsAWSGCP
Soft Skills
Curious MindsetSelf-DirectedUser-FocusedCollaborationProblem-Solving
Tools & Technologies
AWSGCPAzureGitHub ActionsCloud FunctionsLambda
Industry Keywords
Cloud-Based ArchitectureServerless ArchitectureData ScienceTechnical PerspectiveMultidisciplinary Team
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Develop, maintain, and enhance internal products in Python within a cloud-based, serverless architecture.
- Understand how user teams use the product, identify what is not working well, and propose improvements.
- Keep up with advances in technology and AI and bring opportunities that can create value to the team.
- Participate in solution discussions with a technical perspective grounded in real-world usage, not just feasibility.
- Deliver in weekly cycles, focusing on the work that creates the most value.
- Collaborate with a multidisciplinary team spanning product, architecture, and development.
Requirements
What you’ll need- Solid experience in Python development.
- Experience with at least one public cloud platform (GCP, AWS, or Azure).
- Familiarity with data engineering, data science, or machine learning: understanding how these teams work day to day.
- Experience using AI in the development workflow.
- Curious, self-directed, and user-focused mindset.
- Ability to balance speed and quality in delivery.
- Previous experience as a data engineer, ML engineer, or on platform teams is a plus.
- Experience with serverless functions (Cloud Functions, Lambda) is a plus.
- Experience with CI/CD, especially GitHub Actions, is a plus.
- Experience working with large volumes of data is a plus.