The Role
The role involves hands-on building of full stack applications, implementing AI tools for development, and technical leadership. Responsibilities include feature ownership, CI/CD management, cloud infrastructure, and mentoring team members.
Summary Generated by Built In
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.
# Full Stack Engineer — AI-Augmented Development
## Position Summary
We are seeking a highly skilled Full Stack Engineer who combines deep software engineering expertise with advanced proficiency in AI-powered development tools. This role is focused on hands-on building and delivery — a practitioner who ships production-quality code end-to-end across the stack while leveraging AI to accelerate development velocity, improve code quality, and drive innovation.
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).
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## Key Responsibilities
### Hands-On Build & Delivery
- Own features from concept through production release, writing and shipping high-quality code daily
- Build, test, deploy, and iterate rapidly across frontend, backend, APIs, and data layers
- Troubleshoot and resolve production issues, performance bottlenecks, and complex bugs
- Implement and maintain CI/CD pipelines, automated testing, and deployment automation
- Contribute to architectural decisions and design discussions as a practitioner, ensuring designs translate into solid implementations
- Own system reliability, performance, and security for the services you build
### Full Stack Implementation
- Build and ship modern frontend applications using frameworks such as React, Angular, or Vue.js with TypeScript
- Develop, deploy, and operate robust backend services using Java (Spring Boot), Node.js, Python, or .NET
- Implement and optimize RESTful APIs, GraphQL endpoints, and event-driven integrations
- Configure and manage cloud-native infrastructure (AWS or GCP) including containers, serverless, and infrastructure-as-code
- Build and tune data layers across relational and NoSQL databases, caching, and message queues
- Write clean, well-tested, production-ready code with a focus on maintainability and operational excellence
### AI-Augmented Development
- Leverage AI coding assistants (GitHub Copilot, Cursor, Claude Opus, etc.) to dramatically accelerate development workflows
- Use AI tools for code generation, refactoring, test writing, documentation, and code review
- Integrate large language model (LLM) APIs and AI/ML services into applications (e.g., OpenAI, GCP Vertex, AWS Bedrock)
- Design and implement RAG (Retrieval-Augmented Generation) pipelines, prompt engineering strategies, and AI-powered features
- Evaluate, select, and champion AI tools and practices that improve team productivity
- Develop custom agents, workflows, and automations using AI platforms and frameworks (Vertex Studio, Semantic Kernel, CrewAI, etc.)
- Establish guardrails, security practices, and governance for responsible AI usage in engineering
### Technical Leadership & Mentorship
- Influence engineering culture by evangelizing AI-augmented development practices
- Train and upskill team members on effective use of AI tools in their daily workflows
- Contribute to internal knowledge bases, tech talks, and communities of practice
- Partner with product, design, and data science teams to identify AI-driven opportunities
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## Required Qualifications
- **Experience:** 10+ years of professional software engineering experience, with 5+ years in hands-on full stack delivery roles
- **Education:** Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)
- **Frontend:** Expert-level proficiency building production applications with modern JavaScript/TypeScript frameworks (React, Angular, or Vue.js), HTML5, CSS3, responsive design, and accessibility standards
- **Backend:** Deep hands-on experience building and operating services with Java/Spring Boot, Node.js/Express, Python/FastAPI/Django, or C#/.NET
- **Cloud & DevOps:** Strong hands-on experience deploying and operating on cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD tooling (Jenkins, GitHub Actions, GitLab CI)
- **Data:** Proficiency building and optimizing data layers with SQL and NoSQL databases (PostgreSQL, MongoDB, DynamoDB, Redis), data modeling, and query tuning
- **API Implementation:** Proven track record building RESTful APIs, GraphQL services, gRPC endpoints, or event-driven integrations (Kafka, RabbitMQ)
- **AI Tools Proficiency:**
- Advanced daily usage of AI coding assistants (GitHub Copilot, Cursor, or equivalent)
- Experience integrating LLM APIs (OpenAI, Anthropic, GCP Vertex Service) into production applications
- Familiarity with prompt engineering, fine-tuning, embeddings, and vector databases
- Track record of measurably improving team velocity through AI tool adoption
- **Testing:** Strong testing practices including unit, integration, and end-to-end testing with modern frameworks
- **Architecture:** Working knowledge of distributed systems, microservices, and event-driven patterns; ability to contribute to and implement architectural designs
---
## Preferred Qualifications
- Experience building AI/ML-powered product features (chatbots, intelligent search, recommendation engines, content generation)
- Familiarity with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI)
- Experience with agent-based AI architectures and autonomous workflows
- Contributions to open-source projects or published technical content
- Experience in regulated industries (insurance, finance, healthcare) with security and compliance requirements
- Certifications in cloud platforms (AWS Solutions Architect, GCP Professional Cloud Architect, etc.)
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## Technical Competencies
| Domain | Expected Proficiency |
|---|---|
| Frontend Development | Expert |
| Backend Development | Expert |
| Cloud & Infrastructure | Advanced |
| CI/CD & DevOps | Advanced |
| System Design & Architecture | Advanced |
| AI Tools & Copilots | Expert |
| LLM Integration & Prompt Engineering | Advanced |
| Security & Compliance | Advanced |
| Testing & Quality | Expert |
| Mentorship & Leadership | Advanced |
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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.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,600 - $191,400Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits
Skills Required
- 10+ years of professional software engineering experience
- 5+ years in hands-on full stack delivery roles
- Bachelor's degree in Computer Science, Software Engineering, or related field
- Expert-level proficiency with JavaScript/TypeScript frameworks
- Deep experience with cloud platforms (AWS, GCP, Azure)
- Proficiency in building RESTful APIs and event-driven integrations
- Advanced daily usage of AI coding assistants
- Strong testing practices including unit and integration testing
- Working knowledge of distributed systems and microservices
The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..
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Retirement Support — The retirement savings plan pairs matching with an additional company contribution and guidance, strengthening long‑term financial security. Consistent 401(k) generosity elevates perceived total compensation across roles.
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Leave & Time Off Breadth — Paid time off, holidays, and paid leaves are described as generous and accessible, supporting work‑life balance. The ability to take meaningful time away adds value beyond base pay.
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Healthcare Strength — Health, dental, and vision options are comprehensive, with supplemental coverages that help manage out‑of‑pocket costs. Mental health resources, EAP access, and wellness programs further reinforce overall benefits value.
The Hartford Financial Services Group, Inc. Insights
What's It Like to Work at The Hartford Financial Services Group, Inc.?
The Hartford Financial Services Group, Inc. Culture & Values
The Hartford Financial Services Group, Inc. Career Growth & Development
What's the Work-Life Balance Like at The Hartford Financial Services Group, Inc.?
The Hartford Financial Services Group, Inc. Leadership & Management
The Hartford Financial Services Group, Inc. Company Growth, Stability & Outlook
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The Company
What We Do
Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy
