USI-EH27-Consulting Services-AI&E-EaaS-EMS-Managed Services Engineer II-Microservices JAVA

Artificial Intelligence & Engineering 

AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations. 

Join our AI & Engineering team to help transform technology platforms, driving innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses. 

Position Summary 

As a Managed Services Engineer II at Deloitte Consulting, you will deliver high-quality engineering solutions for enterprise applications and managed services engagements. In this role, you will contribute to backend development, application support, and solution improvement initiatives while working independently within defined timelines and quality expectations. You will apply strong engineering fundamentals to build, maintain, and enhance scalable, secure, and reliable technology solutions in a collaborative delivery environment.

Work you'll do

As a Managed Services Engineer II on the Engineering as a Service team, you will be responsible for…

• Designing, developing, and maintaining backend services and application programming interfaces using Java, J2EE, Spring Boot, and microservices architecture
• Building and supporting RESTful services, integrating with external systems and data sources, and contributing to secure and scalable service design
• Writing, testing, debugging, and optimizing application code while supporting defect resolution, documentation, and production support activities
• Working with relational databases, SQL, Java Persistence API, Hibernate, and cloud or container-based environments to support application delivery
• Supporting process improvements, automation, delivery metric tracking, knowledge sharing, and development of tools or accelerators that improve project outcomes

The team

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models—traditional teams, pools, or pods—are tailored to each client’s needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Location: Bengaluru, Hyderabad

Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST

Qualifications

Education: BE/Btech

Required:

• 3 - 6 years of hands-on experience in Java, J2EE, Springboot, Microservices
• Has built scalable, reliable, and secure backend services and APIs using Java and Spring Boot
• Good understanding of Object-Oriented Programming concepts:
• Should be able to provide correct definitions of Object-Oriented Programming Concepts and able to differentiate between them
• Able to come up with class structure in adherence with object-oriented concepts
• Able to identify mistakes / deviation from object-oriented principles in a given scenario or piece of code
• Good theoretical understanding on Java 8+ concepts and hands on experience
• Well versed with: Exception Handling, Collections Framework, Threads, Streams, Lambdas etc.
• Ability to write working code for given scenarios in Core Java(Java 8+)
• Should be able to predict correct output of code snippets
• Able to write impeccable code for the given scenario, should be able to consider performance and security aspects while writing code and justify the logic he/ she has written
• Given multiple ways to fix a problem, should be able to select the best one and justify the same
• Should have knowledge on Incident & Change Management, Documentation Skills, Process Adherence, Incident Priority and Severity
• Good understanding of Micro Services concepts
• Develop and maintain RESTful APIs for various applications and services.
• Familiarity with SOAP services
• Explain best practices
• Able to ensure effective inter-service communication and data consistency
• Given a scenario, should be able to come up with high level design of micro services
• Good theoretical and hands-on knowledge of Spring framework and Springboot.
• Able to build simple projects and write working code without handholding.
• Able to explain important annotations
• Able to explain design principles in Spring and Springboot
• Able to explain bean creation process
• Able to explain transaction management
• Able to explain database access
• Extensive experience with Spring Security, Spring Cloud
• Aware of cross cutting concerns and how to address those using Spring framework
• Good understanding of RDBMS and SQL concepts, should be able to understand, troubleshoot and write complex SQL queries
• Understanding of forms of Normalization. Able to do table design in accordance with standards.
• Expertise in any of the ORM frameworks(e.g. Hibernate) and JPA.
• Should be able to write JPA queries
• Should be able to design entity data model for a given scenario
• Expertise in transaction management and performance optimization of ORM based code
• Understanding of NoSQL concepts, familiarity with any of NOSQL databases. Able to explain prominent features of NOSQL databases.
• Should be able to write Junit test cases and ensure code coverage.
• Good understanding of cloud computing and any of the cloud providers (AWS, Azure, GCP etc.).
• Familiar with deployment in cloud and containerized environments (Docker, Kubernetes)
• Good grasp of asynchronous communication and its standard implementations
• Hands-on experience with version control systems like Git. Able to explain version control process and best practices.
• Expertise in build-tools like MAVEN and Gradle. Able to address issues like vulnerability fixes.
• Expertise in CI/CD concepts and tools (Jenkins, GitLab CI, GitHub Actions). Should be able to explain the build process and its stages.
• Able to suggest appropriate design pattern for a given scenario and write code in accordance with it.
• Good grasp of AI concepts and recent trends:
• Able to explain concepts related to Natural Language Processing (NLP), Machine Learning, Deep Learning, Computer Vision etc.
• Able to think about practical project ideas and suggest implementation strategies
• Should have worked with Agile methodology and aware of best practices:
• Awareness of core principles, and application in projects
• Able to compare between traditional models with Agile and justify Agile adaptation
• Explain important Agile Metrics -  velocity, cycle time, burndown charts etc. and usage of the same for process improvement
• Able to explain Sprint ceremonies and estimation process followed in the current project
• Should be able to explain the business impact of the project he is currently working on
• Strong have good communication skills, experienced with direct client interactions
• For a given scenario, ability to come up with the right questions to be asked to the client to remove ambiguity
• Usage of right words
• Should be able to explain the key concepts, challenges and trends in the industry aligned to current project and have understanding of technology disruptors specific to the industry
• Troubleshooting & Debugging: Identify, diagnose, and resolve bugs and performance bottlenecks within the application with minimal hand-holding. Should be able to provide directionally correct answers to questions based on error scenarios.
• Experienced with integrating Java applications with external APIs, data sources, and databases using web services (RESTful) and other protocols.
• Should be a good team player. Able to work closely with other developers, designers, project managers, and cross-functional teams to deliver integrated solutions.

Certification:

• Oracle Certified Associate (Java 8 or above)
• Oracle Certified Professional (Java 8 or above)

Preferred

• Hands-on experience with any of the cloud providers
• Hands-on experience in AI – Basic understanding of concepts related to Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Computer Vision etc.
• Awareness / hands-on experience on the following tools/ frameworks
• Python, TensorFlow and PyTorch, Scikit-learn, NLP Libraries
• Foundational, developer and architect level certification with any of the cloud providers:
• AWS Certified Cloud Practitioner / Microsoft Azure Fundamentals / GCP Foundational certification
• AWS Certified Developer – Associate, Microsoft Azure Developer Associate, GCP Associate certification
• Awareness of recent industry specific events and able to explain their impact on the work that he has been doing