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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend application development using Python and FastAPI, with a strong focus on building and maintaining REST APIs, microservices, and data processing workflows. Proficient in deploying applications in Kubernetes and Azure environments while ensuring application reliability and performance optimization.
Highest-signal resume keywords
Python Backend DevelopmentREST API Development with FastAPISQLAlchemy and Relational DatabasesAsynchronous Task Processing with CeleryKubernetes and Docker Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPISQLAlchemySQLCeleryKubernetesDockerMicrosoft AzureETL ProcessesMicroservices
Soft Skills
Problem-SolvingAnalytical SkillsOrganizational SkillsEffective CommunicationCollaboration
Tools & Technologies
REST APIsAzure ServicesThird-Party API IntegrationBackground Processing WorkflowsData Workflow Orchestration
Industry Keywords
Application ReliabilityError HandlingTechnical DocumentationData Analytics OperationsCloud Authentication
Tech Stack
Tools & technologiesAzureCloudDockerETLKubernetesMicroservicesPythonSQL
About the role
Key responsibilities & impact- Design, develop, and maintain reliable backend services and REST APIs using Python and FastAPI
- Build and maintain microservices supporting enterprise applications, integrations, and data and analytics operations
- Implement database access and persistence layers using SQLAlchemy and relational databases
- Develop and manage asynchronous tasks, scheduled jobs, and background processing workflows using Celery
- Support ETL processes and data workflow orchestration for reliable data processing and integration
- Integrate applications with third-party APIs and Azure services, implementing authentication and access controls
- Containerize applications using Docker and deploy and operate services in Kubernetes environments
- Troubleshoot technical issues, improve service reliability, and optimize application performance
- Contribute to dashboards and supporting services for enterprise data and analytics operations as needed
- Maintain documentation of APIs, integrations, technical decisions, and development processes
- Collaborate with team members to clarify requirements, identify risks, and deliver maintainable solutions
- Communicate progress, blockers, and risks proactively, propose solutions, and ensure commitments are met
Requirements
What you’ll need- Strong professional experience developing backend applications and services using Python
- Hands-on experience designing, building, and maintaining REST APIs with FastAPI
- Solid experience with SQLAlchemy and relational databases
- Strong SQL skills, including writing and optimizing queries
- Hands-on experience with Celery for asynchronous task processing, scheduling, and background job orchestration
- Experience designing and implementing microservices and integrating third-party APIs
- Understanding of ETL architectures and data workflow orchestration
- Experience deploying and running services in Kubernetes environments, with working knowledge of Docker
- Hands-on experience with Microsoft Azure as the primary cloud platform
- Experience with cloud authentication, authorization, and integrating applications with cloud services and external providers
- Understanding of application reliability, error handling, troubleshooting, and maintainable software design
- Strong problem-solving, analytical, and organizational skills
- Ability to work autonomously, take ownership of deliverables, and follow established processes and documentation standards
- Strong English communication skills, with the ability to collaborate effectively with a US-based team
- Ability to communicate effectively in English and collaborate with a US-based team
Benefits
Comp & perks- Employees can work remotely
