Ethical Software Engineer Jobs Near Me

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 Columbus, OH.

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

• 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

• 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

• 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

• Designed to launch and accelerate early career engineering talent
• Aligned to The Hartford's long-term technology and workforce strategy
• Focus on building in-demand skills across AI, cloud, and modern engineering
• Strong emphasis on mentorship, inclusion, and career development
• Opportunity to contribute to real solutions that drive business outcomes