The sr. Software engineer is responsible for independently designing, developing, and evolving high‐volume, cloud‐native backend services that support critical business capabilities across the home depot global technology center. This role focuses on building scalable, resilient applications using java-based frameworks deployed to modern cloud platforms.
sr. Software engineers partner closely with product, data, ai/ml, and platform teams to deliver backend services that operate at enterprise scale. They play a key role in architectural decision-making, production readiness, system performance, and mentoring within a highly collaborative, agile engineering environment.
key responsibilities
50% delivery and execution
* designs, develops, tests, deploys, and maintains high‐volume backend services using java (quarkus and spring) in cloud-based environments.
* builds scalable, fault-tolerant apis and services that support enterprise workloads and downstream ai/ml capabilities.
* applies cloud-native design principles, including stateless services, horizontal scalability, resiliency, and observability.
* ensures production readiness through strong testing practices, performance tuning, monitoring, and operational excellence.
* contributes to backend architecture decisions with a focus on reliability, scalability, and long-term maintainability.
20% learns and grows
* continuously expands expertise in cloud platforms, distributed systems, and modern backend frameworks.
* develops a working understanding of ai/ml concepts and how backend systems enable data pipelines, model inference, and intelligent applications.
* actively incorporates learnings from production incidents, retrospectives, and experimentation.
20% plans and aligns
* partners cross-functionally with product, data, ai/ml, and platform teams to plan, design, and deliver end-to-end solutions.
* participates in agile ceremonies, contributing technical insight to story refinement, estimation, and prioritization.
* communicates technical designs, tradeoffs, and implementation approaches to both technical and non-technical stakeholders.
10% supports and enables
* mentors junior engineers and peers on backend engineering best practices, cloud-native development, and system design.
* promotes shared standards for code quality, performance, security, and operational excellence.
* contributes to a culture of continuous improvement, collaboration, and engineering rigor.
required technical skills
demonstrated experience with:
* backend engineering using java, with hands-on experience in quarkus and/or spring
* deep expertise in java and modern frameworks (e.g., spring boot, microservices architecture), with the ability to design, build, and maintain scalable, high-performance applications.
* strong understanding of secure coding practices and application security standards (e.g., owasp), ensuring solutions are resilient against modern threats and vulnerabilities.
* designing and supporting high‐volume, highly available services
* cloud-based application design and development
* restful api design and service-to-service integration
* building systems that support or integrate with ai/ml workloads (e.g., data ingestion, inference services, feature services)
deep understanding of:
* distributed systems and scalability patterns
* performance optimization and resiliency in production systems
* ci/cd pipelines and automated testing for backend services
* observability, logging, and monitoring in a cloud environment
* forward-thinking mindset with a demonstrated interest in ai/ml advancements; able to identify and incorporate ai-driven solutions to improve development efficiency, product capabilities, and overall engineering outcomes.
preferred qualifications
* 5+ years of professional software engineering experience, primarily in java-based backend development
* experience working in large-scale, enterprise cloud environments
* familiarity with relational and nosql databases
* exposure to ai/ml concepts, platforms, or data engineering workflows
* experience implementing authentication, authorization, and service security patterns
* strong debugging, root-cause analysis, and incident response skills
* proficiency with version control systems (e.g., git) and collaborative development practices
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