Job Title:  Senior Consultant | Cloud Migration | Bengaluru | Engineering | Platform Development & Integration

The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.       

Your work profile

We are migrating a portfolio of on-premise Java Spring Boot applications — many of which depend on on-prem Apache Kafka clusters for event streaming, and inter-service messaging — to Amazon Web Services. We need an experienced engineer who has done this end-to-end before: assessing applications, untangling on-prem dependencies, re-platforming to AWS-managed services where it makes sense (and lifting-and-shifting where it doesn't), cutting over with zero data loss, and leaving behind a clean, observable, cost-efficient footprint. You will own technical migration of multiple Spring Boot services from discovery through stabilization, partnering with the application teams who built them and the platform team that runs AWS.

Key skills required:

• 8+ years of experience developing production-grade backend applications using Java
• 5+ years of hands-on experience with Spring Boot, Spring Data, and Spring Security
• 5+ years of production experience with Apache Kafka, including producers, consumers, topic design, partitioning, consumer groups, schema evolution, and Kafka operations
• 3+ years of hands-on experience delivering production workloads on AWS
• Proven experience owning end-to-end migration of multiple on-premise applications and Kafka workloads to AWS
• Strong experience with Java 17 / 21 and modern Java features, including records, pattern matching, virtual threads, and JVM performance tuning
• Strong experience with Spring Boot 3 / Spring Framework 6, including Jakarta EE migration and modernization of deprecated APIs
• Hands-on experience with Spring for Apache Kafka and/or Spring Cloud Stream, including Kafka listeners, error handling, retries, transactions, and transactional producers
• Strong experience with Amazon MSK / MSK Serverless or Confluent Cloud on AWS, including Kafka migration, replication, security, and consumer-group cutover
• Experience with Kafka migration tools and strategies such as MirrorMaker 2, MSK Replicator, or Confluent Replicator
• Strong knowledge of AWS services including EKS, ECS / Fargate, RDS / Aurora, S3, IAM, MSK, Secrets Manager, CloudWatch, KMS, Route 53, ALB / NLB, VPC, API Gateway, and related services
• Hands-on experience with Docker and containerization, including multi-stage builds and production-ready container images
• Experience deploying containerized Java applications on Amazon EKS, ECS Fargate, App Runner, or Lambda based on workload requirements
• Strong Infrastructure as Code experience using AWS CDK and/or Terraform
• Experience building and maintaining CI/CD pipelines using GitLab CI and/or GitHub Actions
• Experience with relational and NoSQL data migration using AWS DMS, RDS / Aurora, DocumentDB, or MongoDB Atlas
• Strong understanding of AWS security, IAM, encryption, secrets management, TLS, security groups, VPC Endpoints, PrivateLink, WAF, and GuardDuty
• Experience implementing observability using Micrometer, Prometheus, Grafana, CloudWatch, OpenTelemetry, AWS X-Ray, Datadog, or Dynatrace
• Strong analytical and problem-solving skills, with the ability to troubleshoot application, JVM, Kafka, network, and cloud performance issues
• Excellent communication and collaboration skills, with the ability to work effectively across application, infrastructure, security, and platform teams

Preferred Qualifications

• Education - Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

• AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional, or AWS Advanced Networking – Specialty
• CKA, CKAD, or CKS certification
• Experience with hybrid cloud networking, including AWS Direct Connect, Transit Gateway, VPN, PrivateLink, and on-premise-to-AWS routing
• Experience with Confluent Schema Registry, Avro, and Protobuf, including schema compatibility checks and registry promotion
• Experience implementing exactly-once semantics, idempotent producers, transactional producers, and Kafka Streams
• Experience with Kafka performance tuning, including acks, linger.ms, batch.size, max.poll.records, enable.idempotence, and consumer rebalancing
• Experience with JVM diagnostics and performance engineering using thread dumps, heap analysis, JFR, async-profiler, G1, and ZGC
• Experience with GraalVM, Spring AOT, and native image optimization
• Experience with AWS Graviton-based workloads and cloud cost optimization
• Experience implementing database CDC, dual-write strategies, and the outbox pattern during phased application and Kafka migrations
• Experience working in enterprise-scale migration, consulting, technology services, or cloud transformation environments

Key Skills & Competencies

• Java 17 / 21 and Spring Boot 3
• Spring Framework 6, Spring Data, and Spring Security
• Apache Kafka 3.x and Spring for Apache Kafka
• Amazon MSK / MSK Serverless / MSK Connect
• Kafka migration, replication, partitioning, consumer groups, and zero-data-loss cutover
• AWS EKS, ECS Fargate, Lambda, and containerized workloads
• AWS IAM, VPC, KMS, Secrets Manager, CloudWatch, and security services
• RDS / Aurora, AWS DMS, DocumentDB, S3, and data migration
• AWS CDK / Terraform and Infrastructure as Code
• Docker, Maven / Gradle, GitLab CI, and GitHub Actions
• Confluent Schema Registry, Avro, Protobuf, and schema evolution
• JVM performance tuning, JFR, heap analysis, thread dumps, and async-profiler
• Micrometer, Prometheus, Grafana, CloudWatch, OpenTelemetry, and distributed tracing
• Hybrid cloud networking and on-premise-to-AWS connectivity
• Application modernization and migration strategy
• Security, compliance, encryption, IAM, and least-privilege architecture
• Cloud cost optimization and right-sizing
• Technical documentation, ADRs, migration runbooks, SLOs, and operational playbooks
• Stakeholder management, technical communication, and cross-functional collaboration