Associate Software Engineer - Tech Catalyst Program (Hartford)

The Hartford•Hartford, CT

1d•$70,000 - $105,000•Hybrid

About The Position

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.

Requirements

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
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
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

Nice To Haves

Experience with cloud platforms (AWS preferred; GCP or Azure helpful)
Exposure to APIs, microservices, or distributed systems
AI/ML coursework, certifications, or applied projects
Familiarity with Git and CI/CD pipelines

Responsibilities

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
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