Associate Software Engineer - Tech Catalyst Program (Hartford)
The HartfordAbout the role
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.
Tech Catalyst Program – Associate Software Engineer
Launch your career building the future of technology—powered by cloud, AI, and modern engineering practices!
The Hartford’s Tech, Data, Analytics & Cyber organization is hiring early career engineers who are excited to solve real business problems and contribute to meaningful, enterprise-scale solutions.
The Tech Catalyst Program is a structured, immersive experience designed to accelerate your development as a modern software engineer. You will gain hands-on experience delivering technology solutions while building foundational and emerging skills across full-stack engineering, cloud platforms, and AI-enabled systems.
This program reflects our commitment to building a future-ready workforce—equipping early career talent with the capabilities needed to thrive in a rapidly evolving technology landscape.
This is a hybrid role based in Hartford, CT.
What You’ll Do
Contribute to modern engineering teams
- Design, develop, test, and deploy scalable applications using technologies such as Java, .NET, React, and Angular
- Participate in the full software development lifecycle (SDLC), from ideation through production support
- Apply engineering best practices, including clean code, test automation, and CI/CD
- Collaborate with cross-functional teams including product, design, and data partners
Build cloud and platform capabilities
- Develop and deploy applications using cloud-native architectures (AWS, with GCP for AI capabilities)
- Work with APIs, microservices, and containerized solutions
- Support cloud modernization and platform engineering initiatives
Apply AI and data-driven engineering
- Leverage foundational AI/ML concepts within software solutions
- Utilize AI-assisted development tools (including Google Vertex) to enhance productivity
- Support integration of AI and automation into business workflows and applications
- Develop awareness of responsible AI and ethical engineering practices
Deliver business impact while growing your capabilities
- Translate business problems into technical solutions
- Communicate technical concepts to both technical and non-technical audiences
- Contribute to inclusive, collaborative team environments
- Demonstrate adaptability and continuous learning in a fast-changing technology landscape
Program Experience
Structured learning and real-world application
- 10-week immersive onboarding and technical training experience
- Continued capability-building focused on modern engineering, cloud, and AI
Hands-on delivery and exposure
- Placement on Agile engineering teams delivering real business outcomes
Support and career growth
- Mentorship, coaching, and peer learning designed to accelerate development
- Opportunities to build a strong internal network and long-term career path
- Continued formal technical and professional development enablement through your first nine months
Who You Are
- Passionate about building technology that delivers business and customer value
- Curious and motivated to learn emerging technologies including AI, cloud, and automation
- Comfortable working in environments with ambiguity and change
- Strong problem solver with analytical thinking skills
- Effective communicator and collaborative team member
Basic Qualifications
- Bachelor’s degree (expected graduation: May 2027) in:
Computer Science, Engineering, Information Technology, or a related field - Minimum GPA of 3.0 at time of graduation
- Authorization to work in the U.S. without sponsorship now or in the future
Technical Skills & Experience
- Foundational programming experience in Java, Python, JavaScript, or similar languages
- Exposure to web development (HTML, CSS, JavaScript frameworks)
- Understanding of software development principles and Agile methodologies
- Familiarity or experience with AI concepts
Experience and Exposure to Some or All of the Following
- Experience with cloud platforms (AWS preferred; GCP or Azure helpful)
- Exposure to APIs, microservices,
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