Lead complex consulting and implementation engagements for banks, fintechs, and processors, combining payments and technical expertise with strategic and commercial thinking.
Compensation
The estimated salary range for a new hire into this position is €80,500 - €132,175 which may include potential sales incentive payments (if applicable).
Responsibilities
Lead client-facing change initiatives from current state to target solution
Develop comprehensive solution architectures
Design robust and scalable solutions
Facilitate effective collaboration among business and technology colleagues
Design, develop, and optimize enterprise-grade software solutions using C#, C++, and modern cloud-native technologies.
Design and implement cloud-native solutions on Microsoft Azure, leveraging microservices, containerization, event-driven architectures, serverless computing, and modern integration patterns.
Architect and implement secure authentication, authorization, and identity management solutions, including SSO, MFA, SCIM provisioning, OAuth 2.0, OpenID Connect, SAML 2.0, and integrations with Microsoft Entra ID (Azure AD), Okta, and other enterprise identity providers.
Lead technical design discussions, architecture reviews, and code reviews.
Establish engineering standards, security best practices, and software development lifecycle processes.
Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, Engineering, or a related technical discipline, or equivalent practical experience.
Lead the design, implementation and adoption of an enterprise Service Virtualisation capability across Australia Post to accelerate shift-left testing, reduce environment dependency bottlenecks and improve delivery velocity across API, integration and event-driven ecosystems.
Responsibilities
Define the Service Virtualisation roadmap, standards and operating model
Establish governance, asset management and reusable virtual service catalogues
Drive adoption across Quality Engineering, Architecture, Integration and Delivery teams
Design and implement virtual services for REST APIs, SOAP Services, GraphQL APIs, Kafka/Event-driven integrations, MQ/JMS messaging, File-based integrations (SFTP/APST)
Build configurable, reusable and stateful virtual services supporting both positive and negative test scenarios
The role involves acting as an AI architect leading the implementation and solution delivery of AI applications across onshore/offshore teams, designing end-to-end applications, and translating business objectives into technical AI solutions.
Responsibilities
Work on the Implementation and Solution delivery of AI applications leading the team across onshore/offshore
Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools
Translate business objectives into technical requirements and AI-driven solutions
Partner with product management to design agile project roadmaps
Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications
Requirements
Bachelor’s degree in Computer Science
Master’s degree in Computer Science
Nice to have: Certifications in Cloud technologies (AWS, Azure, GCP)
Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Own and deliver complex engineering features end to end, from technical design and implementation through validation, deployment, monitoring, and production support.
Design and build secure, scalable, highly available cloud services and APIs supporting Agent 365 management and governance scenarios.
Contribute to capabilities such as agent registry, lifecycle management, identity integration, ownership, governance actions, administrative APIs, and cross-platform orchestration.
Drive technical design for ambiguous problems, make sound engineering tradeoffs, and turn product requirements into maintainable architectures.
Work across service boundaries and partner teams to define contracts, resolve dependencies, and deliver coherent end-to-end experiences.
Lead the architectural transformation of Workday’s developer platform into an open, headless AI developer toolchain, driving strategy, standards, and cross‑functional alignment.
Locations (2)
Pleasanton, California, United States
Colorado, United States
Compensation
Primary Location Base Pay Range: $288,000 USD - $432,000 USD
Additional US Location(s) Base Pay Range: $247,000 USD - $432,000 USD
If performed in Colorado, the pay range for this job is $260,000 - $390,000 USD
Responsibilities
Drive Platform Evolution
Architect Enterprise AI Primitives
Define Open Platform Infrastructure Standards
Serve as Apex Technical Authority
Champion Developer Community & Customers
Requirements
Bachelor's in Computer Science, Engineering, Business, or related field
Lead end-to-end software delivery and platform resiliency for business-critical applications.
Responsibilities
Lead end-to-end software delivery: requirements, design, development, testing, deployment, and post-release support across multiple applications and services
Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Modernize and maintain applications: reduce technical debt, improve code coverage, manage dependency hygiene, and execute structured refactoring plans
Champion secure SDLC: ensure code quality, security scanning/remediation, secure configurations, and compliance in partnership with security and risk teams
Drive DevOps excellence: automate CI/CD pipelines, environment provisioning, and release management with robust rollback strategies
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