The annual base salary range for this position is $157,810 - $216,128. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $157,810 - $245,600.
Responsibilities
Deliver outcomes of assigned projects
Work independently on topics while setting priorities having sole responsibility
Engage with business stakeholders and other technology teams to deliver solutions to business requirements
Perform complex data and system development along with technology integration through learned technology coding languages
Facilitate the system, service, or product lifecycle, and ensure stable, secure, performant and high available operations for and between system and cloud services
Requirements
Bachelor's degree in Computer Science, Engineering, or related field
Master's degree in Computer Science, Engineering, or related field
Lead the architecture and design of highly scalable, robust application solutions to support GBC's data-driven consulting offerings and provide strategic technical leadership across the organization.
Responsibilities
Lead the architecture and design of highly scalable, robust application solutions to support GBC's data-driven consulting offerings
Drive technical innovation by evaluating, selecting, and integrating cutting-edge technologies into GBC's technology stack
Provide strategic technical leadership, guidance, and mentorship to development teams throughout the complete project lifecycle
Lead cross-functional collaboration to analyze complex business requirements and architect optimal technical solutions
Establish and enforce technical best practices, development standards, and governance frameworks for application development and data management
Lead the design, development, and delivery of enterprise‑scale software solutions and strategic technology initiatives, providing technical leadership and guiding engineering teams across the organization.
Locations (2)
Tempe, Arizona, United States
Dallas, Texas, United States
Responsibilities
Lead design, development, and delivery of enterprise‑scale software solutions
Architect and build modern applications using C#, Java, or Python
Design, develop, and optimize APIs using RESTful services, GraphQL, and serverless architectures
Drive application integration across internal systems and third‑party platforms
Collaborate with product, architecture, and business teams to align technical solutions
Requirements
Bachelor’s Degree in Information Technology, Computer Science, Engineering, or a related field
Design and develop core components of PayPal’s advertising platform, build cloud-native backend systems, and contribute to the technical roadmap for a greenfield Ads Tech initiative.
Responsibilities
Deliver complete solutions spanning all phases of the Software Development Lifecycle
Advise immediate management on project-level issues
Guide junior engineers
Operate with little day-to-day supervision
Apply knowledge of technical best practices in making decisions
Requirements
Bachelor’s degree in Computer Science or equivalent
This role sits at the intersection of Artificial Intelligence, Cybersecurity, Data Engineering, and Full-Stack Software Development, with a primary focus on enabling secure, scalable, and governed AI adoption across the enterprise for supporting Cyber Security functions.
Compensation
$120,000 - $217,500 Annual
Responsibilities
Drive the architecture and hands-on delivery of scalable, reliable agentic AI platforms for security workflows
Design and build production-grade AI systems including agents, skills, memory patterns, guardrails, and tool-use orchestration
Architect retrieval and context-engineering approaches including embeddings, semantic search, grounding, summarization, and prompt/version management
Engineer cloud-native AI services in AWS, Azure and GCP using containers and serverless patterns, event-driven messaging, and distributed data stores
Optimize platform performance across latency, throughput, scalability, caching, context efficiency, and cost controls
Requirements
Master’s degree or bachelor’s degree in computer science, Artificial Intelligence, Data Science, Cybersecurity, or a related discipline
As a Staff Software Engineer, you will play a key role in shaping and implementing the technology strategy across Ensemble software delivery teams, architecting and developing scalable, resilient, and reusable software solutions.
Compensation
This position pays between $148,800- 256,700, based on experience
The role involves designing, building, and operating AI agents and multi-agent conversational solutions for voice and digital channels, integrating LLMs with business systems and cloud services.
Responsibilities
Design, build and operate AI agents and multi-agent conversational solutions for voice and digital channels, from prototyping through to production.
Develop agentic workflows and RAG solutions, integrating LLMs with business systems, internal platforms and cloud services.
Optimize real-time conversational experiences, focusing on latency, reliability, accuracy, error recovery and seamless human handover.
Define and monitor AI quality and performance, continuously improving solutions across multi-country and multilingual environments.
Design, develop, test, and maintain scalable software solutions for JLL's digital workplace platforms, providing technical leadership and mentoring junior engineers.
Responsibilities
Design and develop full-stack applications using modern web technologies and cloud-native architectures
Lead technical design discussions and make architectural decisions for complex features and systems
Write clean, testable, and maintainable code with comprehensive unit, integration, and end-to-end tests
Establish and enforce coding standards, design patterns, and best practices across the team
Collaborate with product and design teams to translate business requirements into robust technical solutions
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
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