Software Engineer - Backend Java, Spring Boot, Microservices, Kafka, AI/ML, Gen AI
Wells Fargo · Hyderabad · 2+ yrs experience · Posted 2026-07-24
Tech stack: Angular, Java, Kafka, MongoDB, Python
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About the role
About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts. Identify opportunities for service quality and availability improvements within the technology domain environment. Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments. Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains. Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements. Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements. Provide information to technology colleagues, internal partners, and stakeholders. Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Desired Qualifications: Java 8.0+, Microservices design pattern, Springboot, Spring Framework, GitHub Copilot, Kafka, MongoDB, Automated Functional testing, OpenShift cloud platform (OCP), LLMs, GenAI. Angular / ReactJS is preferred. Job Expectations: Experience working with Java, Kafka, Python programming languages or frameworks relevant to the team’s technology stack. Demonstrated interest in applying AI‑assisted development practices to improve productivity and code quality. Exposure to AI‑powered engineering tools (e.g., code assistants, test generation tools, documentation helpers, or internal AI platforms). Good understanding of the software development life cycle (SDLC) and Agile delivery practices. Familiarity with AI and source control tools and standard development workflows. Exposure to deployment, upgrade, or environment support activities. Foundational knowledge of databases, APIs, or system integrations. Awareness of security, risk, data privacy, and compliance expectations, including responsible use of AI tools. Ability to troubleshoot straightforward technical issues using documentation, AI‑assisted insights, and team guidance. Willingness to continuously learn emerging technologies, including AI capabilities relevant to the technology domain. Clear communication skills and ability to work effectively with team members and internal partners.
Qualifications
- 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Java 8.0+, Microservices design pattern, Springboot, Spring Framework, GitHub Copilot, Kafka, MongoDB, Automated Functional testing, OpenShift cloud platform (OCP), LLMs, GenAI.
- Angular / ReactJS is preferred.
- Job Expectations: Experience working with Java, Kafka, Python programming languages or frameworks relevant to the team’s technology stack.
- Demonstrated interest in applying AI‑assisted development practices to improve productivity and code quality.
- Exposure to AI‑powered engineering tools (e.g., code assistants, test generation tools, documentation helpers, or internal AI platforms).
- Good understanding of the software development life cycle (SDLC) and Agile delivery practices.
- Familiarity with AI and source control tools and standard development workflows.
- Exposure to deployment, upgrade, or environment support activities.
- Foundational knowledge of databases, APIs, or system integrations.
- Awareness of security, risk, data privacy, and compliance expectations, including responsible use of AI tools.
- Ability to troubleshoot straightforward technical issues using documentation, AI‑assisted insights, and team guidance.
- Willingness to continuously learn emerging technologies, including AI capabilities relevant to the technology domain.
- Clear communication skills and ability to work effectively with team members and internal partners.
Responsibilities
- Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts.
- Identify opportunities for service quality and availability improvements within the technology domain environment.
- Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments.
- Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains.
- Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements.
- Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements.
- Provide information to technology colleagues, internal partners, and stakeholders.