Python Engineer
SCI SOLUTIONS GLOBAL Plano, Texas, United States · $114K/yr
IT Services and IT Consulting · 11-50 employees
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About the role
Design and develop cloud-native backend architectures using microservices, serverless, and event-driven patterns. Manage cloud infrastructure, CI/CD pipelines, and ensure system performance through monitoring and reliability engineering.
What they look for
Requirements
Requires 7+ years of Python programming experience and expertise in AWS cloud services. Candidates must be US citizens or Green Card holders and available to work onsite in Plano, TX.
Full description
Role: Sr.Python Developer
location: Plano, TX- Locals only
Onsite position
W2 Requirement
Below role is only open for W2, No c2c/1099 or third party resumes
Due to the nature of the roles client is only accepting USC/GC /GC EAD only no other visas accepted .
Responsibilities
- 7+ Years of Python Programming
- Design
and develop cloud-native backend architectures using microservices, serverless, and event-driven patterns.
- Build
scalable Python backend services and APIs using frameworks such as FastAPI or Flask.
- Design
APIs with appropriate validation, security, error handling, performance, and integration patterns.
- Develop
serverless solutions using AWS Lambda, API Gateway, EventBridge, and Step Functions.
- Containerize
and deploy applications using Docker, AWS ECS/Fargate, and/or EKS/Kubernetes.
- Implement
asynchronous processing and event-driven architectures using SQS, SNS, and EventBridge.
- Design
and optimize data persistence using Amazon RDS/Aurora and DynamoDB.
- Implement
caching and session management using ElastiCache/Redis.
- Provision
and manage cloud infrastructure using Terraform and/or CloudFormation.
- Develop
and maintain CI/CD pipelines with automated testing, quality gates, and repeatable deployments.
- Implement
observability using CloudWatch, X-Ray, OpenTelemetry, or comparable monitoring technologies.
- Apply
AWS security best practices across IAM, KMS, Secrets Manager, networking, and VPC architecture.
- Design
solutions that meet defined availability, latency, scalability, and disaster recovery requirements.
- Monitor
system performance, troubleshoot production issues, and apply SRE and reliability engineering practices.
- Identify
opportunities for performance optimization and cloud cost efficiency.
- Participate
in code reviews, technical design discussions, testing, and engineering best practices.
- Provide
technical leadership and effectively communicate architecture and engineering decisions to technical and business stakeholders.
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