Job Description : Job Summary :
We are seeking a Python Engineer with strong experience in AWS cloud services to join our engineering team.
You will design, develop, and deploy scalable backend systems and data-driven services, leveraging modern cloud-native architectures.
Ideal candidates are highly proficient in Python and have hands-on experience with key AWS services such as Lambda, S3, DynamoDB, API Gateway, and more.
Key Responsibilities :
- Develop and maintain backend services, microservices, and APIs using Python.
- Design and implement cloud-native applications on AWS, ensuring scalability and high availability.
- Work with AWS Lambda, API Gateway, S3, DynamoDB, CloudWatch, IAM, etc.
- Build and optimize data processing pipelines (e.g., using Python, Glue, or Step Functions).
- Integrate third-party APIs and design secure, efficient interfaces.
- Collaborate with DevOps to implement CI / CD and infrastructure-as-code (e.g., using Terraform or AWS CDK).
- Write unit, integration, and performance tests for backend components.
- Participate in code reviews, architecture discussions, and sprint planning.
Requirements Required Skills & Qualifications :
36 years of professional software development experience with Python.Strong understanding of RESTful APIs, microservices, and asynchronous programming.Minimum 3+ years of hands-on experience with AWS.Must have used Lambda, S3, DynamoDB, API Gateway in production.Familiarity with IAM, VPC, CloudWatch, CloudFormation / Terraform.Experience working with databases (SQL and NoSQL).Solid grasp of software engineering principles, Git, version control workflow.Strong communication skills and ability to collaborate in agile teams.Nice-to-Have Skills :
Experience with Docker and container orchestration (ECS, EKS).Exposure to data engineering tools like AWS Glue, Athena, Step Functions.Experience with event-driven architectures (e.g.).Familiarity with CI / CD pipelines (e.g.).Knowledge of security best practices in cloud applications.Education :
Bachelors or Masters degree in Computer Science, Engineering, or related field.(ref : hirist.tech)