Software Engineer

Callaway Golf

. Design, build, test, deploy, and maintain backend services, workflows, integrations, and APIs supporting commerce applications .

Posted 10/16/2026full-timeUnited StatesMid-LevelSenior💰 $104,700 - $157,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable backend services and APIs, with a strong focus on eCommerce integrations and cloud infrastructure. Proficient in modern software engineering principles, automated testing, and leveraging AI development tools for enhanced software delivery.

Highest-signal resume keywords

C#/.NET DevelopmentJava/Spring Boot DevelopmentREST API DesignAutomated TestingMicrosoft Azure Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Object-Oriented ProgrammingMiddleware DevelopmentRelational Database DesignIntegration PatternsData Pipeline DevelopmentCI/CD PracticesSQL ServerPostgreSQLConcurrency ManagementError Handling

Soft Skills

Problem-SolvingCollaborationCommunicationAdaptabilityCritical Thinking

Tools & Technologies

DockerKubernetesGitOpenAPIAI Development Tools

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceSoftware EngineeringInformation Systems

Industry Keywords

ECommerceOrder ManagementPaymentsInventory ManagementSAP IntegrationsSalesforce Commerce CloudHeadless Commerce

Tech Stack

Tools & technologies

AzureCloudDockerJavaJavaScriptKubernetesNode.jsPostgresSpringSpring BootSpringBootSQLTypeScript.NET

About the role

Key responsibilities & impact

Design, build, test, deploy, and maintain backend services, workflows, integrations, and APIs supporting commerce applications
Develop services primarily using C#/.NET, Java/Spring Boot, and TypeScript/Node.js based on platform and business needs
Apply object-oriented design and established software engineering principles to create maintainable, scalable, and testable systems
Build services supporting order management, inventory, payments, tax, loyalty, customer identity, product data, and related commerce capabilities
Extend and integrate modular headless commerce platforms such as Medusa, and design middleware and backend-for-frontend layers connecting storefronts, commerce engines, and downstream services
Define clear API contracts using REST, OpenAPI, and related tools
Integrate payment and tax platforms, including authorization, capture, refund, void, tokenization, idempotency, reconciliation, checkout, orders, and returns
Build reliable integrations and data pipelines between commerce systems and enterprise platforms such as SAP and Salesforce Commerce Cloud
Work with product, pricing, catalog, customer, order, and inventory data at scale while protecting data integrity
Participate in platform and service migrations, including field mapping, validation, idempotent processing, reconciliation, cutover planning, and rollback preparation
Design relational database schemas, develop migrations, and troubleshoot query and application performance
Build automated unit, integration, contract, and end-to-end tests
Deploy and operate services using containers, CI/CD pipelines, and cloud infrastructure, primarily within Microsoft Azure
Troubleshoot production issues across application, API, database, integration, and infrastructure boundaries, and contribute to incident response and root-cause analysis
Improve architecture, documentation, tooling, guardrails, and automation to reduce complexity and repetitive work
Partner with frontend engineers, product teams, business stakeholders, enterprise technology teams, and external vendors to define requirements, communicate trade-offs, and deliver integrated solutions
Use AI agents for codebase analysis, architecture planning, implementation, debugging, testing, documentation, refactoring, and automation while critically reviewing and validating outputs

Requirements

What you’ll need

Bachelor’s degree in computer science, software engineering, information systems, or a related field, or equivalent professional experience required
Minimum four years of professional software engineering experience building production applications, backend services, or enterprise integrations required
Experience building REST APIs, services, middleware, or integration layers and working with relational databases required
Experience developing automated tests and using Git and modern CI/CD practices required
Demonstrated hands-on use of modern AI development tools for analysis, planning, implementation, debugging, testing, documentation, or refactoring required
Experience with eCommerce, order management, payments, inventory, SAP integrations, Salesforce Commerce Cloud, headless commerce, Azure, Docker, or Kubernetes preferred
Experience migrating functionality from legacy or monolithic platforms and building reliable high-volume integrations preferred
Strong knowledge of object-oriented programming, API design, data structures, concurrency, error handling, software design principles, and secure development practices
Strong knowledge of at least one object-oriented backend ecosystem, preferably C#/.NET or Java/Spring Boot, with the ability and willingness to work across both
Working knowledge of TypeScript/Node.js, REST, OpenAPI, middleware, integration patterns, and backend-for-frontend architecture
Working knowledge of relational database design and development using SQL Server or PostgreSQL, including schema design, migrations, normalization, and query troubleshooting
Working knowledge of Git, automated testing, containers, CI/CD, observability, and cloud infrastructure, preferably Microsoft Azure
Knowledge of distributed-system reliability concepts such as retries, idempotency, reconciliation, transaction integrity, fault handling, and secure data exchange
Practical knowledge of modern AI development tools such as GitHub Copilot, Claude Code, Cursor, ChatGPT, or similar coding agents
Ability to translate business and technical requirements into secure, reliable, maintainable, and scalable software solutions
Ability to investigate ambiguous problems systematically and diagnose issues spanning applications, APIs, databases, integrations, and infrastructure
Ability to create implementation plans, define acceptance criteria, estimate work, identify dependencies, and communicate technical risks and trade-offs
Ability to critically evaluate AI-generated architecture and code and remain accountable for correctness, security, performance, maintainability, and design
Ability to manage multiple priorities, collaborate across technical and nontechnical teams, and deliver results in an environment that includes modern cloud services and legacy platforms
Ability to document systems, decisions, operating procedures, and previously undocumented technical knowledge clearly