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
Level: Associate Architect
As a Senior Consultant at Deloitte Consulting, you will design, develop, and deploy enterprise-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high-quality and timely delivery of solutions.
As a Cloud Strategy practitioner, you will be responsible for working collaboratively within integrated cross functional teams to deliver comprehensive strategies that enable Cloud and Infrastructure Transformations.
Work you’ll do:
Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
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Expertise in J2EE and Spring Boot:
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Strong proficiency in Java/J2EE frameworks, with a focus on Spring Boot, Spring MVC, and Spring Cloud.
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Extensive experience in developing scalable, high-performance enterprise applications using J2EE.
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Cloud Computing (AWS/Azure):
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Deep understanding and hands-on experience with AWS (EC2, ECS, S3, Lambda, API Gateway, RDS, DynamoDB, CloudFormation) or Azure (App Services, Kubernetes Service, Event Hubs, Cosmos DB, Azure Functions).
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Proficiency in designing and deploying microservices architectures on cloud platforms.
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Microservices Architecture:
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Strong expertise in building and managing microservices using Spring Boot, Spring Cloud Netflix (Eureka, Hystrix, Zuul, Ribbon), and REST/GraphQL APIs.
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Experience with inter-service communication using gRPC or Kafka.
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Performance Optimization:
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Proven experience in profiling, monitoring, and optimizing applications for performance using tools like JMeter, Java Flight Recorder..
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Expertise in JVM tuning, memory management, and SQL query optimization.
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DevOps Practices and CI/CD:
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Hands-on experience with DevOps tools and methodologies, including:
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CI/CD tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, AWS CodePipeline.
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Containerization: Docker, Kubernetes (EKS, AKS).
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Infrastructure as Code: Terraform, CloudFormation, Ansible.
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Monitoring tools: Prometheus, Grafana, ELK Stack, Splunk.
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Database and Data Storage:
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Expertise in relational databases like MySQL, PostgreSQL, Oracle, and SQL Server.
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Experience with NoSQL databases such as MongoDB, Cassandra, Redis, DynamoDB, or Cosmos DB.
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Code Reviews and Best Practices:
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Expertise in conducting thorough code reviews to ensure adherence to SOLID principles, design patterns, and industry-standard best practices.
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Proficiency in writing clean, modular, and maintainable code using tools like SonarQube or PMD for static code analysis.
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API Management and Security:
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Experience in designing and managing APIs using Swagger/OpenAPI, Postman, or API Gateway.
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Knowledge of authentication/authorization protocols like OAuth2, JWT, and SAML.
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System Architecture and Design:
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Strong experience in architecting scalable, distributed systems using microservices, event-driven architectures, and domain-driven design (DDD).
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Proficiency in creating technical design documents and architectural diagrams using tools like Visio, Lucidchart, or Archimate.
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Continuous Learning and Collaboration:
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Commitment to staying updated with the latest advancements in Java, J2EE, and cloud-native technologies.
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Excellent collaboration skills with cross-functional teams (Product, QA, DevOps) to ensure alignment and deliver high-quality solutions.
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.
Qualifications
Must Have Skills/Project Experience/Certifications:
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7 - 12 years of industry experience, with at least 6+ years in a technical architect role designing applications and hosting solutions as public/private cloud SaaS PaaS platforms.
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At least 5+ years of hands-on experience in cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud.
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Should have knowledge to understand and create the Target State Solutions.
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Should be able to create Low level designs for Engineering teams For Ex: Flow charts, Sequence diagrams, class diagrams.
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Should have knowledge of reusable components- Filters, JPA, Logging and Monitoring.
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Should have Hands-On experience on
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Spring web-Java API development along with certification process
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Maven build Tools
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Spring JPA, connection pool configuration
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Event Driven Implementation: Kafka connector library Integration with Java.
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Should have good knowledge of SOLID principles and Java Design Pattern
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Should define Interfaces and re-usable components to avoid duplicate effort - For Ex: Circuit breaker, Retry, Error Handling.
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Experience in application migration and modernization of legacy applications to AWS cloud platforms.
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Familiarity of principles summarized in the AWS Cloud Adoption and Well-Architected Frameworks
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Deep expertise of architecting and designing end-to-end AWS solutions architecture, recommending best cloud architecture patterns suiting the business problems, (Integrating services like: AWS API Gateway, SQS, SNS, Step Function, Amazon MQ, Lambda, AWS S3 and storage classes, etc.)
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Working experience of designing approach and migrating solution from on-prem using AWS Database Migration, Migration Hub, Application Migration Service, etc.
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Hands-on experience with Kubernetes, EKS or OpenShift container platforms
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Working knowledge of AWS CodePipeline, CodeCommit, CodeBuild, CodeArtifact, AWS X-Ray, IAM Policies, KMS, GuardDuty, etc.
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Strong understanding of microservices architecture, design and implementation creating cloud architecture leveraging PaaS and IaaS.
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Strong understanding of the cloud native development practices and architectural patterns
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Experience in leading and managing teams within specialist areas from project planning to execution
Good to Have Skills/Project Experience/Certifications:
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Awareness of industry trends, challenges, technology adoption levels and solution landscape
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Understanding of backup, replication, disaster recovery and high availability technologies
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Understanding on network architectures including integration of software components such as web / application servers, middleware, RDBMS, development environments, operational components and data center operations
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Understanding of cloud security and regulatory policies and governance mechanisms
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Experience in marketplace tools for cloud discovery, migration and modernization or Cloud FinOps
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Experience in cloud infrastructure design of data, storage and networking infrastructure, addressing disaster recovery and business continuity planning requirements
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Certification from any cloud service provider (AWS, Azure, GCP)
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location: Bengaluru/Hyderabad/Pune/Chennai/Kolkata
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Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
