招聘
Who You Are
You’re a hands‑on Java engineer who loves turning complex problems into elegant, intelligent solutions. You thrive at the intersection of Java, AI, and modern cloud engineering, and you get energized by building systems that learn, automate, and scale.
You know how to connect the dots across backend services, APIs, microservices, data pipelines, and AI model endpoints. You’ve built features powered by LLMs, semantic search, vector stores, embeddings, and RAG using frameworks like Java platforms (Spring Boot, Java EE, Spring Application Framework, Node.js), Quarkus, or Micronaut.
You’re a natural problem‑solver who designs resilient, high‑performance services and uses AI to boost reliability, automation, and system intelligence. You collaborate effortlessly with Product, MLOps, Data Science, and Platform teams — and you’re always learning, experimenting, and staying ahead in the fast‑moving AI + Java world.
Key Responsibilities
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Build and maintain Java‑based, AI‑enabled applications and backend services
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Implement DevOps best practices with CI/CD pipelines, observability, and monitoring tools
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Apply secure coding standards including IAM, encryption, and enterprise security practices
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Contribute to system architecture, design discussions, and technical decision‑making
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Work with cross‑functional teams to deliver high‑quality, production‑ready AI features
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7–12 years in full-stack development; 2+ years in lead developer or junior architect roles.
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Strong Java programming skills + experience with AI/ML frameworks and tooling
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Excellent debugging, problem‑solving, and communication abilities
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Hands‑on familiarity with DevOps, CI/CD, and monitoring platforms
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Solid understanding of secure coding and enterprise security principles
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Ability to balance hands‑on coding with architectural thinking
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Adaptable, curious, and eager to explore new technologies
Education & Certifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Cloud or AI certifications (AWS Developer, Azure Developer Associate, Azure AI Engineer, AWS ML Specialty) are a plus.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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About Accenture

Accenture
PublicLet there be change.
10,001+
Employees
Dublin
Headquarters
Reviews
4.0
10 reviews
Work Life Balance
3.5
Compensation
4.0
Culture
4.2
Career
4.1
Management
4.0
75%
Recommend to a Friend
Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$63,830
total / year
Base
$25,532
Stock
$31,915
Bonus
$6,383
$44,681
$82,979
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
News & Buzz
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National Pension Service Raises Stock Holdings in Accenture PLC $ACN - MarketBeat
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Welch & Forbes LLC Cuts Position in Accenture PLC $ACN - MarketBeat
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5w ago