Senior Python Engineer

SCI SOLUTIONS GLOBAL•Plano, TX

1d•Onsite

About The Position

We are seeking Senior Backend Engineers with strong expertise in Python, API development, and AWS cloud-native technologies to design, build, and operate scalable backend services. The ideal candidate will have hands-on experience with microservices, serverless applications, event-driven architectures, and containerized workloads on AWS.

Requirements

6+ years of professional software/backend engineering experience.
Strong hands-on Python development experience.
Experience designing REST APIs and microservices.
Strong AWS experience with several of the following: Lambda, API Gateway, ECS/Fargate, EKS/Kubernetes, S3, EventBridge, SQS/SNS, RDS/Aurora, DynamoDB, ElastiCache/Redis.
Docker and containerized application deployment.
Terraform and/or CloudFormation.
CI/CD pipeline development and maintenance.
AWS IAM, KMS, Secrets Manager, VPC, and cloud security.
Application monitoring, logging, alerting, and observability.
Automated testing and software quality practices.
Git, code reviews, Agile development, and production support.
Strong communication and problem-solving skills.

Nice To Haves

FastAPI or Flask.
Production Kubernetes/EKS experience.
AWS Step Functions.
Kafka/MSK or Kinesis.
OpenTelemetry or AWS X-Ray.
SRE principles, including SLIs, SLOs, incident management, and reliability engineering.
Cloud cost optimization / FinOps.
High-availability and disaster-recovery architecture.
Technical leadership or mentoring experience.

Responsibilities

Design cloud-native backend architectures using microservices, serverless, and event-driven patterns.
Build Python backend services and REST APIs using FastAPI, Flask, or similar frameworks.
Implement API 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, ECS/Fargate, and/or EKS/Kubernetes.
Implement asynchronous processing using SQS, SNS, and EventBridge.
Design data persistence using RDS/Aurora and DynamoDB.
Implement caching using ElastiCache/Redis.
Provision infrastructure using Terraform and/or CloudFormation.
Develop and maintain CI/CD pipelines with automated testing.
Implement monitoring and observability using CloudWatch, X-Ray, OpenTelemetry, or comparable tools.
Apply AWS security practices across IAM, KMS, Secrets Manager, VPC, and networking.
Design highly available, scalable, and disaster-resilient solutions.
Troubleshoot production issues and apply SRE/reliability practices.
Participate in code reviews, technical design discussions, and engineering best practices.
Provide technical leadership and communicate engineering decisions to stakeholders.