Join our Technology & Transformation practice to unlock the value within vast amounts of data. We provide strategic guidance and implementation services, helping companies manage diverse data sources and convert them into actionable insights for informed decision-making. Our expertise spans business intelligence, data management, performance management, and advanced analytics, including big data, cloud, and machine learning technologies.

This role focuses on designing, building, and managing a highly available, scalable, and secure Apache Flink platform on AWS and Google Cloud. You'll drive architectural excellence and operational efficiency for our streaming data platform, enabling self-service capabilities, infrastructure automation, and cloud-native deployments. Collaboration with application development teams is key to delivering resilient, production-grade streaming infrastructure.

Design, build, and manage a highly available, scalable, and secure Apache Flink platform across AWS and Google Cloud environments. Drive the architecture and operational excellence of the organization's streaming data platform. Enable self-service capabilities, infrastructure automation, and cloud-native deployments. Collaborate with application development teams to deliver resilient, production-grade streaming infrastructure. Ensure security, reliability, and performance of the streaming data platform.

We are seeking a Senior Consultant with 3-6 years of experience in Apache Flink, Spring Boot, and infrastructure management. Proven experience with public cloud platforms, specifically AWS and/or Google Cloud (GCP), is essential. Expertise in containerization technologies like Docker and orchestration platforms such as Kubernetes (Amazon EKS, Google GKE) is required. Demonstrable knowledge of Infrastructure-as-Code tools like Terraform and/or Ansible is necessary. A strong foundation in building well-engineered, fault-tolerant, and resilient platform architectures is crucial. Experience with automated platform validation and verification testing frameworks is preferred. Public cloud provider certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional Cloud Architect) are a plus. Proficiency in programming languages like Python, Java, or Go for building custom platform tooling is beneficial. Familiarity with cloud-native CI/CD tools (e.g., Harness, Tekton, Jenkins) is advantageous. Experience with Managed Services for Flink (e.g., Amazon Managed Service for Apache Flink / Kinesis Analytics, Confluent Cloud Flink) is desirable. Excellent communication and collaboration skills are expected.