Consulting - Managed Services - AI-Native Software Engineer
Listed on 2026-06-28
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Software Development
Software Testing, AI Engineer (Applied/Software), DevOps, Backend Developer
Location:
Anywhere in Country
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.
Key Responsibilities- Use AI coding assistants to generate, refactor and modernize code while applying secure-by-design practices and peer review discipline.
- Translate user stories and acceptance criteria into working software with strong engineering fundamentals (readability, modularity, performance).
- Create and maintain reusable components, templates, and accelerators that improve team velocity and consistency.
- Apply prompt patterns and structured context to improve AI outputs and reduce rework.
- Use AI tools to draft unit/integration tests, contract tests, and test data; validate coverage and edge cases with engineering judgment.
- Implement automated QA in CI/CD pipelines (linting, SAST/DAST, dependency scanning, performance checks, test gates).
- Support exploratory testing and defect triage; drive root‑cause fixes rather than symptomatic patches.
- Produce clear technical documentation and runbooks (including AI‑assisted documentation) to support supportability and knowledge transfer.
- Contribute to pipelines, environments and release automation; ensure builds are repeatable and auditable.
- Instrument services for logs, metrics, and traces; define SLOs, SLIs, and error budgets for critical paths.
- Assist with incident response using AI tools to summarize telemetry, propose hypotheses, and accelerate remediation under human oversight.
- Collaborate with product owners and designers to turn intent into implementable technical plans.
- Communicate progress, risks, and tradeoffs; contribute to estimation and sprint planning.
- Mentor junior teammates on AI‑augmented engineering practices (prompting, validation, secure use of tools).
- Strong foundation in software engineering: data structures, APIs, version control, code review, and debugging.
- Hands‑on experience building web and/or cloud applications (front‑end, back‑end, or full‑stack).
- Practical knowledge of automated testing and CI/CD; ability to improve quality through automation.
- Comfort using AI tools with disciplined validation and security awareness.
- Curiosity, learning agility, and the ability to explain technical concepts to non‑technical stakeholders.
- Experience with cloud‑native development (Azure/AWS/GCP), containers, and infrastructure‑as‑code concepts.
- Familiarity with modern front‑end frameworks and/or API design patterns (REST, GraphQL, event‑driven).
- Exposure to Responsible AI concepts (privacy, data handling, bias, model risk) and secure coding standards.
- Experience building with or integrating GenAI capabilities (prompting, RAG patterns, embeddings, evaluations) is a plus.
- Bachelor’s degree in Computer Science, Engineering or related discipline (or equivalent experience).
- Typically 4+ years of professional software development experience (consulting or product teams).
- Experience delivering in Agile teams and collaborating across product, design, and QA.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at
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