
1001 - 5000 employees
đ Education
đĽ B2C
Education ⢠B2C
DeVry University is a private, career-focused university offering online and on-campus undergraduate and graduate degree programs, certificates, and workforce solutions. Its curriculum emphasizes technology, business, and healthcare fields (including programs in cybersecurity, software development, information technology, accounting, healthcare administration, and medical billing & coding), with services for working adults such as employer tuition benefits, military and transfer student support, and career services. DeVry also includes the Keller Graduate School of Management and highlights hands-on, career-centered learning and student support.
đĽ 11 minutes ago
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1001 - 5000 employees
đ Education
đĽ B2C
Education ⢠B2C
DeVry University is a private, career-focused university offering online and on-campus undergraduate and graduate degree programs, certificates, and workforce solutions. Its curriculum emphasizes technology, business, and healthcare fields (including programs in cybersecurity, software development, information technology, accounting, healthcare administration, and medical billing & coding), with services for working adults such as employer tuition benefits, military and transfer student support, and career services. DeVry also includes the Keller Graduate School of Management and highlights hands-on, career-centered learning and student support.
⢠Design, develop, and maintain APIs, services, and enterprise integrations with hands-on coding responsibilities ⢠Build scalable, reliable, and reusable integration solutions across systems and platforms ⢠Define and implement modern integration architectures, including: ⢠API-first design ⢠Event-driven architectures ⢠Reusable service and integration patterns ⢠Create reusable integration assets and frameworks that reduce duplication and accelerate future delivery ⢠Partner with business and technology teams to deliver solutions quickly and effectively ⢠Serve as the technical lead for offshore development resources ⢠Translate architectural designs and technical requirements into executable development work ⢠Provide implementation guidance through patterns, reference architectures, and working examples ⢠Conduct code reviews and ensure adherence to engineering standards, security requirements, and best practices ⢠Drive consistency, quality, and maintainability across integration solutions ⢠Leverage AI as a core component of software development, design, testing, and delivery ⢠Utilize AI tools to: ⢠Generate code, test cases, and technical documentation ⢠Rapidly prototype integration patterns and solution designs ⢠Automate repetitive development, testing, and integration activities ⢠Accelerate debugging, root cause analysis, and system understanding ⢠Continuously evaluate and adopt emerging AI capabilities to improve engineering productivity and solution quality ⢠Operate as an AI-augmented engineer capable of delivering significantly greater output than traditional development approaches ⢠Enable offshore developers through AI-assisted development workflows ⢠Introduce tools, prompts, templates, and engineering patterns that increase team throughput ⢠Establish AI-enabled practices that reduce delivery cycle times and improve consistency ⢠Share knowledge and coach team members on effective AI usage for software development and integration delivery ⢠Drive adoption of AI workflows across the engineering organization ⢠Identify opportunities to streamline integration development processes and reduce operational overhead ⢠Champion automation, reuse, and standardization across integration initiatives ⢠Measure and optimize engineering effectiveness through data-driven improvements ⢠Stay current with industry trends in integration architecture, cloud technologies, APIs, and AI-assisted software engineering
⢠10+ years engineering experience with strong integration/API focus ⢠Proven hands-on full-stack capability ⢠Experience leading distributed/offshore teams ⢠Ability to teach and scale AI usage across a team ⢠Demonstrated use of AI in software development: ⢠AI-assisted coding (e.g., Copilot, ChatGPT, etc.) ⢠Prompting for engineering tasks ⢠Automating development workflows ⢠Using AI to increase speed and quality of delivery
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