Senior Producer Lifecycle Platform Engineer

Travelers

Hartford (CT)

On-site

USD 150,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Health Insurance
401(k) Matching
Student Loan Repayment Contributions
Pension Plan
Paid Time Off
Paid Holidays
Wellness Program
Mental Health Support
Volunteer Rewards
Matching Gift Program

Job summary

Travelers seeks an engineering leader to design, build, and modernize the producer management platform, covering data, licensing, onboarding, integrations, and AI-powered features. You will set standards, steer technical choices, and drive delivery while mentoring engineers and partnering with business stakeholders.

The ideal candidate has strong distributed systems expertise, experience with AWS and AI applications, and a track record of cross-team leadership in large-scale modernization

Qualifications

  • Bachelor's degree in CS or related STEM field or equivalent education or work experience.
  • Six+ years of software engineering experience.
  • Experience with distributed systems, AWS, AI applications, and system-of-record modernization.

Responsibilities

  • Lead the design, engineering, and modernization of the producer management platform.
  • Set engineering standards and guide technical decisions, delivery, and team adoption of AI while collaborating with business partners.
  • Mentor engineers and collaborate with partners across teams.

Skills

Distributed Systems Engineering
.NET
Java
Node.js
AWS
Cloud-Native Architecture
API Design
Systems Integration
Event-Driven Architecture
AI Application Development
Retrieval and Orchestration
AI Evaluation and Guardrails
Mainframe Modernization
IMS
DB2
COBOL

Education

Bachelor's degree in CS or related STEM field or equivalent education or work experience

Tools

AWS
IMS
DB2
COBOL

Job description

Travelers seeks an engineering leader to design, build, and modernize the producer management platform, covering data, licensing, onboarding, integrations, and AI-powered features. You will set standards, steer technical choices, and drive delivery while mentoring engineers and partnering with business stakeholders.

The ideal candidate has strong distributed systems expertise, experience with AWS and AI applications, and a track record of cross-team leadership in large-scale modernization

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