Senior Software Engineer; QE​/Automation Focus

Position: Senior Staff Software Engineer (with  QE/ Automation Focus)
Senior Staff Software Engineer - IE07HE

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 is searching for a  
** Sr Staff Software Engineer
** within the Personal Lines organization specializing in Quality Engineering and QA as we deliver on our strategic investment portfolio through our value streams. This role will serve as both a hands-on technical contributor and a strategic quality leader and is responsible for designing, building, and evolving quality engineering practices across a hybrid technology landscape that includes modern cloud-native platforms as well as vendor-based systems.

The ideal candidate combines deep engineering expertise with strong leadership, influence, and a pragmatic approach to improving quality at scale.

** Responsibilities:*
* +  
** Quality Engineering Strategy & Operating Model:
** Define, evolve, and govern the Quality Engineering strategy, standards, and operating model to ensure consistent, scalable, and high-quality delivery.

+  
** Test Automation Architecture & Frameworks:
** Design, implement, and maintain robust automated test frameworks across application, enabling reliable and repeatable validation of complex systems.

+  
** Hands-On Test Automation & Problem Solving:
** Drive test automation through hands-on creation of automated test cases, review of automation delivered by teams, and resolution of complex automation challenges.

+  
** Defect Analysis & System Diagnostics:
** Diagnose and resolve complex defects across distributed systems and third-party integrations.

+  
** System Testability & Reliability Engineering:
** Improve system testability, observability, and reliability through direct code contributions and collaboration on system and application design.

+  
** End-to-End Quality Execution:
** Facilitate and manage end to end quality execution, ensuring business capabilities are delivered with high quality from ideation through production.

+  
** Mentorship & Engineering Excellence:
** Mentor engineers and SDETs on quality engineering best practices, automation patterns, and scalable test design approaches.

+  
** AI & GenAI-Driven

Innovation:
** Drive the adoption and effective use of AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.

** Minimum Qualifications*
* +  
*
* Experience:

** 8+ years of software engineering experience, including 5+ years in Quality Engineering, Test Automation, or Quality leadership roles.

+  
** Technical & Engineering Expertise:
** Demonstrated experience testing and automating for diverse technology platforms (E.g. Java, .NET, SaaS, COTS, and Mainframe) including cloud-native applications on AWS and/or GCP, including containerized and microservices-based architectures along with strong experience in API and contract testing (e.g., REST Assured, Postman/Newman) and performance, resilience, and reliability testing practices.

+  
** Test Automation & Quality Engineering:
** Advanced experience designing and scaling test automation frameworks across application tiers, with hands-on expertise in modern test tools and frameworks such as Playwright, Cypress, Selenium, JUnit/TestNG, NUnit, and PyTest.

+  
** Quality Metrics & Outcomes:
** Proven ability to define, track, and leverage Quality and Quality Execution metrics to drive measurable improvements such as defect reduction and defect leakage prevention.

+  
** Agile & Scaled Delivery:
** Demonstrated track record of testing and quality execution within Agile and Scaled Agile frameworks, including sprint-level testing, end-to-end validation, and regression/stabilization testing.

+  
** Leadership & Strategic Balance:
** Proven ability to balance hands-on technical delivery with strategic leadership, influencing quality practices across teams and technology stacks.

+  
*
* Soft Skills:

** Strong analytical, problem-solving, communication, coaching, and collaboration skills, with the ability to translate quality risks into clear business and engineering trade-offs.

** Preferred Qualifications*
* +  
** AI &

Innovation:
** Experience applying AI and GenAI tools to improve testing efficiency, effectiveness, and overall engineering productivity.

+  
** Domain Knowledge:
** Experience with in insurance, financial services, or other highly regulated domains is a plus.

+  
*
* Education:

** Bachelor's degree in Computer Science, Engineering, or a related field preferred

_This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week_

_Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position._

** Compensation*
* The listed annualized base pay range is primarily based on analysis of similar positions in the…