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Software Engineer II - Enterprise AI for Operations (AWS, Python)

Travelers

Hartford, CT, US
Full-time, Hybrid
Posted Today
Hybrid

About the role

Software Engineer II - Enterprise AI for Operations (AWS, Python)

Responsibilities

  • Lead technical design and architecture decisions for AI-powered applications and automation solutions
  • Partner with architects and product owners to translate business requirements into scalable technical solutions
  • Design and develop solutions using large language models, agentic workflows, and modern cloud services (AWS/Azure)
  • Build and maintain containerized applications using Kubernetes and implement infrastructure as code with Terraform
  • Develop RESTful APIs and microservices following industry best practices
  • Drive adoption of best practices in code quality, testing, and documentation across the team
  • Provide technical guidance and mentorship to junior and mid-level engineers
  • Conduct code reviews and provide constructive feedback to ensure high standards
  • Troubleshoot and resolve complex technical issues with minimal supervision
  • Collaborate effectively with cross-functional teams using agile methodologies

Requirements

  • 4+ years of software development experience with demonstrated progression in technical complexity
  • Strong proficiency in Python and experience with AI/ML frameworks
  • Hands-on experience with cloud platforms (AWS or Azure) and infrastructure as code (Terraform)
  • Solid understanding of containerization (Docker, Kubernetes) and microservices architecture
  • Experience with modern data stores (MongoDB or similar NoSQL databases)
  • Proven ability to lead technical initiatives and mentor other developers

Benefits

  • Health Insurance
  • 401k matching
  • Retirement
  • Paid Time Off
  • Wellness Program
  • Volunteer Encouragement

About the Company

Taking care of our customers, our communities and each other. That’s the Travelers Promise.

Job Details

Salary Range

$117,200 - $193,400/yearly

Location

Hartford, CT, US

Employment Type

Full-time, Hybrid

Original Posting

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