Front End Staff Software Engineer

The Hartford•Hartford, CT

1d•$116,000 - $174,000•Hybrid

About The Position

The Hartford's Middle & Large Commercial IT Team is seeking a highly motivated, detail-oriented and results-driven Staff Software Engineer to build and support various invest assignments. Engineers will have end-to-end accountabilities across MLC IT that require integrations with the Policy Administration system. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

Requirements

6+ years of experience in front-end application development with a strong focus on building scalable, enterprise-grade web applications.
5+ years of hands-on experience with modern JavaScript frameworks/libraries such as Angular.
Strong expertise in HTML5, CSS3, JavaScript (ES6+), TypeScript, and responsive design principles.
Experience with state management libraries (Redux, NgRx, Zustand, etc.) and front-end architecture patterns.
Strong understanding of performance optimization techniques (lazy loading, code splitting, caching, CDN strategies).
Familiarity with Agile/SAFe methodologies.
Experience in API integration (REST/GraphQL) and handling asynchronous data flows.
Exposure to micro-frontend architecture and modular UI development.
Experience with cloud environments (AWS preferred) and integration with backend services.
Experience in CI/CD pipelines and tools such as Code Pipeline, GitHub Actions, Jenkins.
Hands-on experience with automation testing frameworks (Playwright).
Knowledge of web accessibility standards (WCAG) and secure coding practices.
Familiarity with design systems and UI component libraries (Bootstrap, Tailwind, etc.).
Experience with containerization (Docker) and modern build tools (Webpack, Vite, etc.).
Exposure to observability tools for front-end monitoring (e.g., Dynatrace).
Bachelor’s degree in computer science, Engineering, or related field (preferred).

Nice To Haves

Backend development experience with Java or Python.
Candidate 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.

Responsibilities

Own end-to-end front-end architecture, design, development, and maintenance of scalable, high-performance web applications using modern UI frameworks (Angular), micro frontends, and cloud-native architectures.
Provide technical leadership within Scrum teams by defining and enforcing UI architecture principles, coding standards, and best practices aligned with enterprise architecture.
Act as the front-end subject matter expert across applications, with deep expertise in UI/UX design patterns, component-driven development, accessibility, performance optimization, and cross-browser compatibility.
Define and implement the overall front-end technical vision, ensuring seamless integration with backend APIs, enterprise platforms, and distributed systems.
Lead design and development of reusable component libraries, design systems, and front-end frameworks to enable consistency and scalability across products.
Proactively identify and mitigate technical risks related to performance, scalability, maintainability, and usability.
Drive adoption of modern engineering practices including micro-frontends, server-side rendering (SSR), static site generation (SSG) and edge delivery.
Collaborate with cross-functional teams (UX, product, backend, DevOps) to deliver cohesive and high-quality digital experiences.
Champion automation across the front-end lifecycle including testing, build, deployment, and monitoring.
Mentor engineers (including sourcing partners) on front-end technologies, clean code practices, and architectural patterns.
Drive innovation by evaluating emerging technologies, frameworks, and tools to enhance user experience and developer efficiency.
Enable strong observability practices including front-end performance monitoring, logging, and error tracking.
Ensure adherence to DevOps practices, CI/CD pipelines, and engineering governance standards.
Maintain clear, transparent communication regarding technical risks, tradeoffs, and delivery impacts.
Leverage AI-powered developer tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate development, improve code quality, and enhance team productivity.
Build and integrate AI-driven UI capabilities such as conversational interfaces, personalization, and intelligent recommendations.
Use AI-assisted testing tools for automated test generation, visual regression testing, and defect detection.
Apply AI for code generation, refactoring, documentation, and debugging while ensuring code quality and security.
Drive adoption of AI-enhanced DevOps practices including intelligent code reviews, pipeline optimization, and anomaly detection.
Enable knowledge sharing by incorporating AI tools into documentation, onboarding, and developer workflows.