The Role
Lead architecture and delivery of Java 17 microservices platforms, drive cloud modernization and enterprise AI adoption (LLMs/Agentic AI), oversee event-driven systems (Kafka/AWS), mentor teams, ensure CI/CD, security, scalability, and deploy applications on AWS container and serverless platforms.
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 : Spring Boot, AWS Architecture
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 AWS.
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 AWS messaging services.
Ensure best practices in scalability, reliability, performance, and security.
Guide engineering teams deploying applications on AWS container and compute platforms.
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 Amazon Bedrock or similar AI platforms.
Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.
Event Streaming & Messaging
Kafka
AWS messaging and streaming services (Amazon MSK, Amazon SNS, Amazon SQS)
AWS Cloud & Services
Experience with:
App Hosting & Containers
Amazon ECS
Amazon EKS
AWS Elastic Beanstalk
Serverless & Workflows
AWS Lambda
AWS Step Functions
API Management
Amazon API Gateway
Data Services
Amazon RDS (PostgreSQL)
Amazon DynamoDB
Caching
Amazon ElastiCache
DevOps & Platform Engineering
CI/CD (AWS CodePipeline, GitHub Actions, Jenkins)
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: AWS or AI certifications15 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 : Spring Boot, AWS Architecture
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 AWS.
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 AWS messaging services.
Ensure best practices in scalability, reliability, performance, and security.
Guide engineering teams deploying applications on AWS container and compute platforms.
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 Amazon Bedrock or similar AI platforms.
Familiarity with Agentic AI frameworks, RAG architectures, and AI-driven automation.
Event Streaming & Messaging
Kafka
AWS messaging and streaming services (Amazon MSK, Amazon SNS, Amazon SQS)
AWS Cloud & Services
Experience with:
App Hosting & Containers
Amazon ECS
Amazon EKS
AWS Elastic Beanstalk
Serverless & Workflows
AWS Lambda
AWS Step Functions
API Management
Amazon API Gateway
Data Services
Amazon RDS (PostgreSQL)
Amazon DynamoDB
Caching
Amazon ElastiCache
DevOps & Platform Engineering
CI/CD (AWS CodePipeline, GitHub Actions, Jenkins)
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: AWS or AI certifications15 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
- Java 17 expertise and Java Full Stack development
- Minimum 15 years of professional experience
- Bachelor's degree in Computer Science or related field / 15 years full-time education
- Spring Boot and reactive microservices development
- Cloud-native architecture and cloud modernization experience (AWS)
- Experience with event streaming and messaging (Kafka, Amazon MSK, SNS, SQS)
- Experience with AWS services: ECS, EKS, Elastic Beanstalk, Lambda, Step Functions, API Gateway, RDS (Postgres), DynamoDB, ElastiCache
- CI/CD and DevOps tooling: AWS CodePipeline, GitHub Actions, Jenkins, Docker, Kubernetes
- Experience integrating Generative AI/LLMs, RAG architectures, Agentic AI frameworks (Amazon Bedrock or similar)
- AWS 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.
Accenture Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
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.
