Python Developer

ClifyX, INC
Des Moines, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Des Moines, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Application Performance Management
Unit Testing
Cloud Engineering
Code Generation
Software Quality
Code Review
Databases
Continuous Integration
Information Engineering
Data Integration
Data Security
Data Systems
Cursor (Graphical User Interface Elements)
Programming Tools
Distributed Systems
Django
Amazon DynamoDB
Fault Tolerance
Python
Log Analysis
NoSQL
Performance Tuning
Amazon Web Services (AWS)
Software Engineering
SQL Databases
Systems Integration
Data Logging
Enterprise Software Applications
Spring Cloud
GitHub Copilot
Flask
Delivery Pipeline
State Machines
Backend
Cloudformation
FastAPI
Servicebus
Event Driven Architecture
Amazon Web Services (AWS)
Kubernetes
Infrastructure Automation Frameworks
Data Management
Api Design
Cloudwatch
Api Gateway
REST
Amazon Web Services (AWS)
Terraform
GPT
Serverless Computing
Docker
Microservices

Job description

We are seeking an experienced Senior Python Developer with strong AWS cloud expertise to design, develop, and support scalable, cloud-native applications, APIs, and data solutions. The ideal candidate will combine deep Python development skills with hands-on experience building distributed systems on AWS. This role requires ownership of the full software lifecycle, from solution design and implementation to production support and operational excellence., Python Development & API Engineering

  • Design, develop, and maintain Python-based backend applications, microservices, and APIs.
  • Build scalable RESTful APIs and integrations supporting enterprise applications and data platforms.
  • Develop reusable components, libraries, and automation frameworks following engineering best practices.
  • Implement secure API authentication, authorization, rate limiting, and monitoring capabilities.

Data Engineering & Processing

  • Build and maintain data ingestion, transformation, and processing pipelines.
  • Develop solutions for integrating data across multiple internal and external systems.
  • Optimize data access patterns, database interactions, and application performance.
  • Ensure data quality, validation, observability, and operational reliability., * Design and implement cloud-native solutions using AWS services such as Lambda, ECS, EKS, API Gateway, S3, DynamoDB, RDS, SQS, SNS, EventBridge, CloudWatch, and Step Functions.
  • Develop highly available, fault-tolerant, and scalable applications leveraging AWS best practices.
  • Implement infrastructure automation, deployment pipelines, monitoring, and operational controls.
  • Collaborate with cloud, security, and platform teams to ensure compliance, governance, and cost optimization., * Analyze logs, metrics, and system behavior to identify performance bottlenecks and reliability risks.
  • Drive continuous improvements in resiliency, observability, scalability, and operational efficiency, * Leverage AI-powered development tools such as GitHub Copilot, Amazon Q, ChatGPT, Cursor, or equivalent tools to accelerate development and improve code quality.
  • Utilize AI for code generation, unit test creation, documentation, troubleshooting, code reviews, and solution prototyping.
  • Validate AI-generated outputs to ensure alignment with security, architectural, and engineering standards.
  • Promote responsible adoption of AI-assisted development practices within the engineering team, * Mentor junior developers and contribute to engineering standards and best practices.
  • Participate in architecture reviews, technical design discussions, and code reviews.
  • Partner with product, business, architecture, and operations teams to deliver high-quality solutions.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Requirements

  • 8+ years of hands-on Python development experience.

  • Strong experience building APIs, microservices, and distributed systems.

  • Solid experience designing and implementing solutions on AWS.

  • Experience with cloud-native architectures, event-driven systems, and enterprise integrations.

  • Strong understanding of system design, scalability, reliability, and performance optimization.

  • Experience supporting production systems in large-scale enterprise environments.

  • Proficiency with SQL and NoSQL databases.

  • Experience with CI/CD, monitoring, logging, and observability practices. Preferred Qualifications

  • Experience with FastAPI, Flask, or Django.

  • Experience with Docker, Kubernetes, ECS, or EKS.

  • Experience with AWS serverless and event-driven architectures.

  • Familiarity with Infrastructure as Code (Terraform, CloudFormation, CDK).

  • Experience in financial services, insurance, or other regulated enterprise environments.

  • Prior experience as a Senior Engineer, Technical Lead, or Solution Designer.

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