Director of Software Engineering – Servicing Applications & Cloud Transformation

The Hartford•Columbus, OH

1d•Hybrid

About The Position

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford Employee Benefits is seeking a highly experienced and hands-on Director of Software Engineering. This leader will guide the adoption of GenAI and agentic systems driving the transformation from legacy automation to advanced AI workflows. The role oversees engineering strategy and execution, aiming to reshape operations and scale AI-driven operational excellence for improved customer service.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
10+ years of software engineering experience, including leadership roles in cloud transformation and financial systems.
Strong expertise in GCP, AWS, or Azure cloud platforms and microservices architecture.
Proficiency in UI frameworks (Angular, React), API-first solutions (RESTful services), microservices, and event-driven architecture (Java, SpringBoot, AWS Kinesis/Kafka, Spring Batch).
Experience building advanced servicing solutions on platforms like Pega and Salesforce.
Proven track record in modernizing on-premises applications and migrating to cloud-native solutions.
Hands-on experience with GenAI enablement, including CoPilot adoption for co-development and software delivery automation.
Deep understanding of customer service systems, processes, and compliance.
Excellent problem-solving, communication, and leadership skills.

Nice To Haves

Knowledge of implementation of GenAI pipelines and prompt engineering techniques.
Knowledge of Retrieval-Augmented Generation (RAG) and Model-Context-Protocol and AI-driven automation.

Responsibilities

Team Leadership: Build, manage, and mentor software engineering teams, fostering innovation and collaboration.
Modernization Strategy: Assess current systems and develop a comprehensive plan for modernization.
Cross-Functional Collaboration: Work closely with AI platforms, data science, data engineering, and cloud infrastructure teams to design, deploy, and optimize AI solutions in compliance with enterprise architecture and governance standards.
Business Alignment: Partner with Product Management, Process Optimization, Customer Success, Operations, and the Transformation Office to ensure engineering efforts support business objectives.
Cloud Architecture: Design and implement cloud-based solutions using microservices, event-driven architecture, and modern cloud technologies.
API Development: Create APIs to enable data interoperability and support MCP server development across business units.
Automation: Automate manual testing and integrations using AI productivity tools and GenAI pipelines.
Compliance: Ensure all solutions meet performance, security, and regulatory requirements.
Project Oversight: Monitor project performance, manage resources, and oversee budgeting.
Continuous Improvement: Stay current with emerging technologies and industry trends to drive ongoing innovation.