The Role
Lead architecture and delivery of Java 17 Spring Boot reactive microservices on Azure. Drive cloud modernization, define enterprise LLM/Agentic AI strategy, oversee event-driven platforms (Kafka, Azure messaging), ensure scalability/security, mentor engineering managers, and establish CI/CD and cloud automation practices.
Summary Generated by Built In
Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Java Full Stack Development
Good to have skills : Microsoft Azure Architecture, Microservices and Light Weight Architecture, Spring Boot
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Java 17, Spring Boot, Microservices, Cloud Modernization, and AI/LLM integration are must-have skills for this requirement.
We are seeking a Senior Manager – Engineering with strong expertise in building cloud-native, microservices-based platforms and driving enterprise AI adoption using LLMs and Agentic AI frameworks. The ideal candidate will provide technical leadership, architecture guidance, and strategic direction while managing multiple teams delivering scalable applications on Azure.
Roles & Responsibilities
Lead architecture and delivery of Java 17 microservices platforms using Spring Boot and reactive frameworks.
Drive cloud modernization programs, transforming legacy systems into cloud-native microservices architectures.
Define enterprise strategy for AI-enabled applications leveraging LLMs and Agentic AI frameworks.
Oversee development of event-driven architectures using Kafka and Azure messaging services.
Ensure best practices in scalability, reliability, performance, and security.
Guide engineering teams deploying applications on Azure App Service, Azure Spring Apps, and AKS.
Collaborate with enterprise architects and stakeholders to align technology strategy with business goals.
Mentor engineering managers and senior developers.
Establish DevOps practices and ensure CI/CD and cloud automation maturity.
Professional & Technical Skills
Programming & Frameworks
Strong expertise in Java 17 and Spring Boot.
Experience building reactive microservices architectures.
Strong background in enterprise API design and distributed systems.
Architecture
Expertise in microservices and event-driven architectures.
Proven experience leading large-scale cloud modernization initiatives.
Strong knowledge of enterprise application architecture and platform engineering.
AI, Agentic AI & LLM Integration
Strong understanding of Generative AI, LLM architectures, and enterprise AI adoption.
Experience defining solutions using Azure OpenAI or similar platforms.
Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.
Event Streaming & Messaging
Kafka
Azure Event Hubs, Service Bus, Event Grid
Azure Cloud & PaaS Services
Experience with:
App Hosting & Containers
Azure App Service
Azure Spring Apps
Azure Kubernetes Service (AKS)
Serverless & Workflows
Azure Functions
Logic Apps
API Management
Azure API Management (APIM)
Data Services
Cosmos DB
Azure PostgreSQL
Caching
Azure Redis Cache
DevOps & Platform Engineering
CI/CD (Azure DevOps, GitHub Actions)
Docker, Kubernetes
Cloud-native security and governance practices
Additional Information
Experience: 14–18 years
Education: Bachelor s degree in Computer Science or related field
Preferred: Azure or AI certifications
15 years full time education
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Java Full Stack Development
Good to have skills : Microsoft Azure Architecture, Microservices and Light Weight Architecture, Spring Boot
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Java 17, Spring Boot, Microservices, Cloud Modernization, and AI/LLM integration are must-have skills for this requirement.
We are seeking a Senior Manager – Engineering with strong expertise in building cloud-native, microservices-based platforms and driving enterprise AI adoption using LLMs and Agentic AI frameworks. The ideal candidate will provide technical leadership, architecture guidance, and strategic direction while managing multiple teams delivering scalable applications on Azure.
Roles & Responsibilities
Lead architecture and delivery of Java 17 microservices platforms using Spring Boot and reactive frameworks.
Drive cloud modernization programs, transforming legacy systems into cloud-native microservices architectures.
Define enterprise strategy for AI-enabled applications leveraging LLMs and Agentic AI frameworks.
Oversee development of event-driven architectures using Kafka and Azure messaging services.
Ensure best practices in scalability, reliability, performance, and security.
Guide engineering teams deploying applications on Azure App Service, Azure Spring Apps, and AKS.
Collaborate with enterprise architects and stakeholders to align technology strategy with business goals.
Mentor engineering managers and senior developers.
Establish DevOps practices and ensure CI/CD and cloud automation maturity.
Professional & Technical Skills
Programming & Frameworks
Strong expertise in Java 17 and Spring Boot.
Experience building reactive microservices architectures.
Strong background in enterprise API design and distributed systems.
Architecture
Expertise in microservices and event-driven architectures.
Proven experience leading large-scale cloud modernization initiatives.
Strong knowledge of enterprise application architecture and platform engineering.
AI, Agentic AI & LLM Integration
Strong understanding of Generative AI, LLM architectures, and enterprise AI adoption.
Experience defining solutions using Azure OpenAI or similar platforms.
Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.
Event Streaming & Messaging
Kafka
Azure Event Hubs, Service Bus, Event Grid
Azure Cloud & PaaS Services
Experience with:
App Hosting & Containers
Azure App Service
Azure Spring Apps
Azure Kubernetes Service (AKS)
Serverless & Workflows
Azure Functions
Logic Apps
API Management
Azure API Management (APIM)
Data Services
Cosmos DB
Azure PostgreSQL
Caching
Azure Redis Cache
DevOps & Platform Engineering
CI/CD (Azure DevOps, GitHub Actions)
Docker, Kubernetes
Cloud-native security and governance practices
Additional Information
Experience: 14–18 years
Education: Bachelor s degree in Computer Science or related field
Preferred: Azure or AI certifications
15 years full time education
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.
Skills Required
- 15 years professional experience
- Java Full Stack Development (Java 17)
- Spring Boot
- Microservices and reactive microservices architectures
- Cloud modernization and cloud-native platform engineering on Azure
- Enterprise API design and distributed systems experience
- Experience with Kafka
- Azure Event Hubs, Service Bus, Event Grid
- Azure App Service, Azure Spring Apps, AKS
- Azure Functions and Logic Apps
- Azure API Management (APIM)
- Cosmos DB, Azure PostgreSQL
- Azure Redis Cache
- CI/CD using Azure DevOps or GitHub Actions
- Docker and Kubernetes
- Strong understanding of Generative AI, LLM architectures, and enterprise LLM integration (Azure OpenAI or similar)
- Familiarity with Agentic AI frameworks and RAG architectures
- Bachelor's degree in Computer Science or related field (15 years full-time education stated)
- Preferred: Azure or AI certifications
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
-
Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
-
Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
-
Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
