Educational Requirements
MCA, MSc, MTech, Bachelor of Engineering, BCA, BSc, BTech
Service Line
Data Analytics Unit
Responsibilities
- Develop and maintain backend applications and services using Python.
- Work with AWS Bedrock services to build and integrate cloud-based solutions.
- Design, provision, and manage infrastructure using Terraform (Infrastructure as Code).
- Develop and integrate REST APIs and microservices.
- Work with AWS services such as Lambda, S3, API Gateway, IAM, CloudWatch, etc.
- Support deployment, configuration, and maintenance of cloud applications.
- Monitor application and infrastructure performance and troubleshoot issues.
- Collaborate with cross‑functional teams for development, testing, and deployment.
- Participate in code reviews and ensure adherence to coding standards and best practices.
- Maintain documentation for applications, infrastructure, and deployment processes.
- Support incident resolution and day‑to‑day operational activities.
Desired Candidate Profile
- 25 years of relevant IT experience
- Strong development experience in Python
- Hands‑on exposure to AWS cloud services
- Experience or exposure to Terraform
- Basic knowledge of AWS Bedrock services
- Ability to work in a fast‑paced environment and learn new technologies
- Good communication and analytical skills
- Bachelor's degree in Computer Science, IT, or related field
Technical and Professional Requirements
- Strong hands‑on experience in Python development
- Experience working with AWS cloud services
- Exposure to AWS Bedrock services
- Experience in Terraform (Infrastructure as Code) for provisioning and managing infrastructure
- Good understanding of REST APIs / microservices architecture
- Familiarity with AWS services such as AWS Lambda, Amazon S3, API Gateway, IAM, CloudWatch
- Basic understanding of cloud‑native application development
- Experience with Git/version control systems
- Strong debugging and problem‑solving skills
- Understanding of deployment and environment management
Preferred Skills
- Technology -> data science -> PYTHON
- Technology -> Machine Learning -> Generative AI -> closed models (AWS Bedrock)
- Technology -> Cloud Platform -> Terraform