Senior Backend developer; Python​/AWS

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

• CI/CD Pipeline Ownership - Design, implement, and maintain automated CI/CD pipelines (Git Hub Actions, Azure Dev Ops, AWS Code Pipeline) to enable reliable and frequent deployments.
• Cloud Infrastructure Management - Build and manage scalable and secure cloud environments in Azure and AWS using IaC (Terraform, Cloud Formation, ARM/Bicep).
• Environment Reliability & Monitoring - Implement monitoring, logging, alerting, and performance optimization using tools like Cloud Watch, Azure Monitor, Grafana, Prometheus.
• Automation & Configuration Management - Automate routine operational tasks using Power Shell, Bash, Python, Ansible, or similar; ensure consistent configuration across all environments.
• Security, Compliance & Best Practices - Apply cloud security best practices (IAM, network controls, secrets management), ensure compliance with internal and industry standards, and support audit readiness.

Must have

• Programming
  
  Skills:
  
  In-depth experience in Python, relational databases, SQL, and a background in object oriented programming languages such as Scala, C#, or Java is advantageous
• Services:
  Knowledge of RESTful APIs and microservices built on AWS, with experience in AWS Lambda (using the boto3 library) and serverless design.
• Cloud
  
  Skills:
  
  Experience in building cloud-native systems using AWS services at an enterprise level with a learning mindset.
• Best Practices:
  Knowledge of Object Oriented Programming (OOP) and design patterns and excellent code and technical documentation as well as experience with code review.
• CI/CD & Automation:
  Understanding of CI/CD pipelines, with experience in building and deploying CI/CD pipelines (preferably using Azure Dev Ops).
• Testing Framework:
  Experience in testing framework
• Security:
  Familiarity with AWS security best practices (MFA, encryption, user roles & policies).

• Containerization:
  Experience in building and deploying container services (Docker, Kubernetes, AWS Fargate).
• Data Tools:
  Experience with Iceberg and Snowflake.
• Familiarity with Terraform, Cloud Formation, or CDK for infrastructure automation.
• Knowledge of No
  
  SQL databases.