Staff Software Engineer building Cerebras’s production ML inference APIs. Enabling reliable model serving across GPU and Cerebras AI accelerator backends.
About the role
- Full Stack Liferay Developer building secure B2B customer portals for McKesson Canada’s healthcare business. Developing Liferay, Java, APIs, integrations, and production support solutions.
Responsibilities
- Design, develop, configure, test, and implement customer portal solutions using Liferay DXP
- Develop full-stack capabilities across user interfaces, backend services, APIs, integrations, and data layers
- Build and maintain Liferay modules, reusable components, portlets, workflows, themes, and content capabilities
- Develop responsive, accessible, and user-friendly experiences using modern front-end technologies
- Translate business requirements into technical designs and working solutions with business and technical teams
- Participate in technical design reviews, estimation, development planning, testing, deployment, and go-live activities
- Create and maintain technical specifications, interface documentation, deployment notes, and operational handoff materials
- Develop and maintain secure REST APIs and integrations with enterprise applications, identity services, and external platforms
- Support authentication and authorization capabilities, including SSO, MFA, OAuth, and role-based access
- Contribute to platform upgrades, modernization, performance improvements, scalability, and technical debt reduction
- Apply secure coding, privacy, accessibility, and enterprise architecture standards
- Provide Level 2 and Level 3 support for production Customer Portal issues
- Investigate and resolve application defects, integration failures, performance issues, and customer-reported problems
- Perform root cause analysis and implement corrective actions
- Support monitoring, incident management, problem management, change management, and release activities
- Contribute to development standards, code reviews, automated testing, documentation, and knowledge sharing
- Use approved AI-assisted tools responsibly to improve development, testing, documentation, and troubleshooting
Requirements
- 4+ years of hands-on experience developing and supporting enterprise web applications
- Strong hands-on experience developing solutions using Liferay DXP
- Strong experience with Java, Spring, REST services, and enterprise application development
- Experience developing Liferay OSGi modules, custom portlets, services, workflows, themes, or client extensions
- Full-stack development experience using JavaScript or TypeScript and a modern framework such as React or Angular
- Experience designing and consuming APIs and integrating enterprise applications
- Experience with relational databases such as PostgreSQL, Oracle, SQL Server, or MySQL
- Experience with source control, automated testing, CI/CD pipelines, and DevOps practices
- Experience troubleshooting production issues and working through the full software development lifecycle
- Strong analytical, problem-solving, documentation, collaboration, and communication skills
- Liferay DXP certification or equivalent practical experience (preferred)
- Experience supporting B2B customer portals, eCommerce, order management, healthcare distribution, wholesale, or supply chain environments (preferred)
- Experience with Azure, containers, cloud-native development patterns, and application observability (preferred)
- Experience with SSO, MFA, Okta, Microsoft Entra ID, OAuth, or related identity and access technologies (preferred)
- Experience with accessibility, performance optimization, secure coding, and high-availability applications (preferred)
- Familiarity with Agile, Scrum, DevOps, and product-oriented delivery practices (preferred)
- Preferred experience with or knowledge of AI technologies, including generative AI, large language models, machine learning concepts, and AI-assisted software development tools
- Experience using approved AI tools to support coding, testing, documentation, code review, or issue analysis is an asset
- Familiarity with AI integration concepts such as prompt design, APIs, retrieval-augmented generation, embeddings, vector search, or AI agents is an asset
- Understanding of responsible AI practices, including privacy, security, governance, human review, and protection of sensitive information
Benefits
- Competitive compensation package
- Annual bonus or long-term incentive opportunities may be offered
- Equity may be offered
- Total Rewards benefits package
- Reasonable accommodation for job search or application
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