AI Native Software Engineer
Accenture (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 1d ago
Reach people at Accenture
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Accenture you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build, test, maintain, and support production software, using AI as part of the engineering lifecycle and improving how software is built and operated.
- Lead architecture, design, and implementation of robust, scalable web services; review requirements and code, and guide technical decisions across projects.
- Improve system quality through issue analysis, standard operating procedures, technical documentation, and knowledge transfer; mentor developers where needed.
Minimum Requirements
- Work Experience Required: Minimum 15 years in Java Full Stack Development; the JD also specifies 10+ years developing software for large business environments, 12+ years in Java EE, and 5+ years with distributed systems and cloud big data.
- Strong Java Full Stack Development, object-oriented design and SOA principles, and experience leading architecture, design, and implementation of scalable web services; AWS and/or Azure, SaaS infrastructure, CI/CD DevOps, and extensive debugging experience are required.
- Understanding of unit, test-driven, functional, and performance testing; working experience with software security tools and practices is required.
- 15 years of full-time education required; a bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent education/experience, is specified.
Ideal Candidate Profile
- Principal-level engineer who can lead technical direction and deliver mission-critical, low-latency systems for large business environments, while working across business, product, and detailed implementation needs.
- Candidates with experience leading cloud, DevOps, or AI modernization and applying LLMs, automation, and engineering toolchains to improve business or engineering productivity are likely to fit well.
- A strong fit for complex SaaS engineering environments involving distributed systems and cloud-based big data; React, event-bus integration, and Snowflake are listed as advantages.