Software Engineer III – Java

Overview

As Software Engineer III, you design, build, and modernize authentication and authorization platforms that serve enterprise clients and institutions. You will collaborate with a global team to deliver secure, scalable identity solutions across channels, aligning with open standards. You’ll evaluate and prototype authentication tools, integrate OAuth2/OpenID Connect/SAML, and contribute to secure coding practices. This role offers impact at scale, shaping resilient identity infrastructure for a leading financial services firm.

Responsibilities

• Design secure authentication and authorization solutions across customer-facing channels and enterprise platforms
• Modernize identity and access management systems with standards-aligned frameworks
• Evaluate and prototype internal and vendor authentication solutions (anti-fraud, biometrics)
• Integrate APIs and SDKs for niche and open standards like OAuth2, OpenID Connect, SAML
• Collaborate with global engineering teams to deliver high-quality, business-valued outcomes
• Drive quality and efficiency through strong engineering practices and code standards
• Contribute to technical direction by modeling high design, development, and testing standards
• Leverage enterprise AI-assisted development tools to improve code quality, delivery speed, and productivity, with peer review and secure coding checks
• Apply SDLC tooling and automation to maximize automation value

Key requirements

• Formal training or certification on software engineering concepts
• Proficiency in one or more general-purpose languages, with strong preference for Java
• Experience with application and data architecture, design patterns, and business process integration
• Familiarity with cloud-native development on AWS, Azure, or Google Cloud Platform
• Ability to collaborate across local and global teams
• Flexibility to work across multiple tech stacks and environments
• Hands-on experience with enterprise-authorized AI-assisted development tools and ability to critically evaluate AI outputs
• Understanding of responsible AI use in engineering workflows, including data sensitivity, security, and resiliency

• team collaboration
• cross-functional communication
• problem solving
• Java
• OAuth2
• OpenID Connect

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