Associate Software Engineer – Tech Catalyst Program

The Hartford

Associate Software Engineer launching technology careers in a hybrid role at The Hartford. Building solutions with cloud, AI, and modern engineering practices to address real business challenges.

Posted 7/17/2026full-timeColumbus • Ohio • 🇺🇸 United StatesJuniorMid-Level💰 $70,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates proficiency in designing, developing, and deploying scalable applications using Java, .NET, and cloud-native architectures, while applying engineering best practices and collaborating effectively with cross-functional teams. Possesses foundational knowledge in AI/ML concepts and the ability to communicate technical solutions to diverse audiences.

Highest-signal resume keywords

Java DevelopmentCloud-Native Architecture (AWS)API and Microservices IntegrationAgile MethodologiesAI/ML Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaPythonJavaScriptHTMLCSSReactAngularCI/CDTest AutomationGit

Soft Skills

CollaborationAdaptabilityContinuous LearningCommunication

Tools & Technologies

AWSGCPGoogle VertexContainerized Solutions

Industry Keywords

Software Development Lifecycle (SDLC)Cloud ModernizationDistributed SystemsResponsible AIEthical Engineering Practices

Tech Stack

Tools & technologies

AngularAWSAzureCloudDistributed SystemsGoogle Cloud PlatformJavaJavaScriptMicroservices.NETPythonReactSDLC

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 and Exposure to Some or All of the Following
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

Benefits

Comp & perks

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