Description

Responsibilities

• Design, develop, and maintain Python-based services, Lambda functions, and data pipelines.
• Provision and manage AWS infrastructure using Terraform, following best practices for modularity, security, and maintainability.
• Build and operate AI/ML and search capabilities on OpenSearch, including vector search, semantic retrieval, and integration with LLM-driven workflows.
• Collaborate with data, platform, and security teams to deliver end-to-end solutions across AWS services (Lambda, API Gateway, Glue, S3, DynamoDB, IAM, VPC, etc.).
• Modernize Dynatrace alarming using Terraform and Python.
• Champion code quality through reviews, automated testing, CI/CD pipelines, and observability.
• Mentor junior engineers, share best practices, and contribute to architectural decisions and technical standards.
• Be able to think unconventionally to find the best way to solve for a defined use case with fuzzy requirements.
• Self-starter mentality. Willing to do their own research to solve problems and can clearly present findings and engage in conversation on what makes one solution better than another.

Must-Have Tech Stack

• 5 years of professional software development experience and must be able to code.
• Python: strong proficiency, including type hints, testing (unittest/pytest), and packaging.
• Terraform specifically for Infrastructure as Code related to AWS.
• GitHub
• Confluence
• OpenSearch: index design, query DSL, and vector/k-NN search.
• AI/ML: embeddings, RAG patterns, foundation models, and ML model integration.
• AWS services:
  • DynamoDB
  • Glue
  • IAM
  • S3
  • API Gateway
  • Lambda

Nice to Have

• Collibra or experience integrating with enterprise data catalog or governance platforms.
• Kafka or other event-driven architecture.
• AWS services: Lake Formation

Key Skills

Education

Bachelor's degree