IN_Senior Associate_Automation Engineer with AI_GCC_Advisory_Bangalore
PwC is hiring an IN_Senior Associate_Automation Engineer with AI_GCC_Advisory_Bangalore. Level rates it ; you can apply on PwC.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- PwC mentions visa sponsorship in this posting.
- Level classifies it as a senior role.
- Level lists 3,800+ other open roles at PwC.
- The role was posted in the last few days.
AI in this role
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Role Summary:
We are looking for an experienced Lead Full Stack Engineer with 10+ years of hands-on software development experience to design, architect, and deliver high-performance, scalable cloud applications. The role requires deep backend microservices expertise in Java and Spring Boot, strong frontend delivery capability using React.js, and proven experience in cloud-native application modernization, containerized deployment, engineering mentorship, and technical leadership.
Responsibilities
· Must have : Proficient in Playwright with Typescript/Javascript/Python.
- Must have : Practical implementation of AI in STLC
- Must have : Experience in validating non-deterministic response validation / AI Model Testing
- Strong programming skills
- Experience designing, developing, and maintaining test automation frameworks from scratch or improving existing ones.
- Solid understanding of software testing lifecycle, types of testing (functional, regression, integration), and Agile methodology.
- Experience with Continuous Integration tools like Jenkins, GitLab CI, Azure DevOps, or similar.
- Knowledge of version control systems (e.g., Git).
- Strong problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
Mandatory Skill sets:
Backend Engineering - Java / Spring Boot
· Strong hands-on experience in Core Java, Java 8+, collections, multithreading, exception handling, design patterns, and enterprise application development.
· Expertise in Spring Boot, Spring MVC, Spring Data/JPA, Hibernate, RESTful API development, API versioning, and microservices architecture.
· Experience designing scalable service-to-service communication, API contracts, error handling, resiliency, caching, transaction management, and secure backend services.
· Strong understanding of relational databases and SQL, with practical experience in data modelling, query optimization, schema design, and database integration.
· Ability to create technical designs, review architecture decisions, and guide teams on backend implementation best practices.
Frontend Engineering - React.js
· Strong experience in React.js, JavaScript/TypeScript, ES6+, component lifecycle, hooks, state management, routing, forms, validation, reusable components, and frontend performance optimization.
· Experience integrating React applications with REST APIs, handling asynchronous calls, browser debugging, API error handling, and responsive UI development.
· Knowledge of frontend build tooling, package management, unit testing, accessibility basics, and secure frontend development practices.
· Ability to collaborate with UX, product, backend, and QA teams to deliver clean, maintainable, and user-friendly client interfaces.
Cloud, DevOps and Containerization
· Hands-on experience with Docker for containerization, image creation, configuration, environment management, and deployment packaging.
· Good working knowledge of Kubernetes concepts such as pods, deployments, services, ingress, config maps, secrets, scaling, and rollout/rollback strategies.
· Experience working with cloud environments and cloud-native deployment practices; exposure to Azure, AWS, or GCP is preferred.
· Practical experience with CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent platforms.
Architecture, Modernization and Leadership
· Proven experience in application modernization, decomposition of monoliths, microservices adoption, API-led integration, and cloud migration initiatives.
· Ability to define solution architecture, technical roadmap, non-functional requirements, engineering standards, and implementation governance.
· Experience leading engineering teams, mentoring developers, conducting technical reviews, resolving blockers, and aligning delivery with business priorities.
· Strong ownership of code quality, security, performance, scalability, reliability, maintainability, and production-readiness.
What Is Necessary for This Role
· 10+ years of hands-on software engineering experience, with demonstrated delivery ownership in full stack enterprise applications.
· Strong backend depth in Java and Spring Boot, not just coordination or team-management experience.
· Practical React.js delivery experience with the ability to understand and guide frontend implementation decisions.
· Prior experience designing or modernizing microservices-based architecture for scalable cloud applications.
· Hands-on deployment exposure using Docker and Kubernetes; resource should be comfortable discussing containerization and cloud deployment flow.
· Ability to lead technical discussions, mentor engineers, review code/design, and handle complex implementation decisions independently.
· Strong communication skills for remote collaboration, stakeholder interaction, technical documentation, and cross-functional coordination.
· Comfortable working in remote deployment model; profiles can be sourced from any location across India.
Preferred skill sets
· Exposure to cloud platforms such as Azure, AWS, or GCP, including managed services, identity/security, monitoring, and deployment patterns.
· Experience with Kafka, RabbitMQ, message-driven architecture, distributed tracing, API gateways, service mesh, or caching platforms.
· Experience with test automation practices using JUnit, Mockito, Jest, React Testing Library, Cypress, Selenium, or equivalent tools.
· Knowledge of observability tools such as Prometheus, Grafana, ELK, Splunk, AppDynamics, New Relic, or cloud-native monitoring services.
· Exposure to secure coding, OWASP principles, vulnerability scanning, SonarQube, code quality gates, and compliance-driven development environments.
· Experience in Agile/Scrum delivery, backlog refinement, sprint planning, estimation, release planning, and production incident support.
Preferred Candidate Profile
· A hands-on engineering lead who can contribute technically while also mentoring and guiding developers.
· Strong full stack project experience with Java/Spring Boot backend and React.js frontend, preferably in enterprise or cloud application environments.
· Comfortable owning architecture discussions, implementation quality, deployment readiness, production troubleshooting, and stakeholder communication.
· Able to work effectively in a remote deployment model with distributed teams across India
Years of experience required:
4 - 8 yrs
Education qualification:
Education (B.E. / B.Tech / MCA/ M.E/ M.TECH/ MBA/ PGDM)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Java (Programming Language)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Creativity, Digital Tooling, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility {+ 19 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
September 3, 2026How we rate this
IN_Senior Associate_Automation Engineer with AI_GCC_Advisory_Bangalore at PwC rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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