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.