Spearhead the industrialization of new AI technologies and concepts by supporting the business with the implementation of AI pilot use cases. The goal is to enable teams to scale these technologies and concepts across their functional areas.

As a Senior Full Stack Developer, you will work independently, solve complex technical challenges, mentor junior team members, and contribute to the design and delivery of scalable cloud-based solutions.

Key Responsibilities

• Develop new features and enhance existing front-end components using Angular and TypeScript.
  
• Design, implement, and maintain back-end services and APIs using Python.
  
• Build and maintain serverless functions on AWS Lambda and integrate them with API Gateway and other AWS services.
  
• Implement and manage AWS infrastructure using Terraform.
  
• Design and operate data storage and retrieval solutions using DynamoDB and S3, and support analytics through QuickSight.
  
• Work with containerized workloads and orchestrate services using ECS.
  
• Implement CI/CD practices, automated testing, and code reviews.
  
• Improve platform monitoring, alerting, and security following AWS best practices.
  
• Collaborate with Data Science and MLOps teams to support AI/ML platform requirements.
  
• Produce technical documentation and participate in architecture and design reviews.
  
• Mentor junior developers and promote engineering best practices.
  
• Participate in Agile ceremonies and collaborate with stakeholders to deliver business value.
  

Requirements

Essential Skills

• Strong Python development skills, including writing clean, maintainable, and reusable code.
  
• Proficient in TypeScript and Angular for front-end development, with experience in state management and UI/UX concepts.
  
• Experience with AWS serverless services such as Lambda.
  
• Hands-on experience with AWS API Gateway for building and managing RESTful APIs.
  
• Experience with GraphQL and AppSync.
  
• Knowledge of AWS storage and analytics services such as S3 and QuickSight.
  
• Experience with ECS and DynamoDB.
  
• Knowledge of AWS container services including ECR and ECS.
  
• Infrastructure-as-Code experience using Terraform.
  
• Familiarity with CI/CD pipelines, Git/GitHub, and automated testing frameworks.
  
• Experience designing and consuming RESTful APIs.
  
• Understanding of cloud security best practices and AWS security controls.
  

Advantageous Skills

• Java and Spring Framework experience.
  
• Docker and Kubernetes experience.
  
• Familiarity with Parquet, AVRO, JSON, and BI tooling.
  
• Experience with monitoring and alerting tools such as CloudWatch.
  
• Knowledge of event-driven architectures (SQS, SNS, Kinesis) and Step Functions.
  
• Familiarity with Glue, Athena, Redshift, and ETL patterns.
  
• Experience with data quality tools and practices.
  
• Familiarity with authentication/OIDC and secure front-end patterns.
  
• Experience working in Agile environments using Confluence and Jira.
  
• Ability to create technical documentation and design artifacts.
  

Qualifications & Experience

• Relevant IT degree (e.g., Computer Science) or equivalent experience.
  
• Minimum of 5 years' experience in a similar role.
  
• Strong hands-on experience with AWS (Lambda, API Gateway, DynamoDB, S3, ECS) and Terraform.
  
• AWS certifications such as AWS Certified Developer or Solutions Architect are advantageous.