Key Responsibilities
- Design, implement, configure, and manage Enterprise Redis and Open Source Redis clusters.
- Deploy, administer, and optimize Apache Kafka clusters for high-throughput, real-time streaming environments.
- Ensure high availability, scalability, resilience, disaster recovery, and security of Redis and Kafka platforms.
- Perform Redis and Kafka performance tuning, capacity planning, health monitoring, and optimization.
- Troubleshoot complex production issues across distributed platform environments.
- Manage platform upgrades, patching, configuration management, and lifecycle maintenance.
- Build and maintain CI/CD pipelines using Git, Jenkins, ArgoCD, and GitOps methodologies.
- Automate infrastructure provisioning and deployment using modern cloud automation tools.
- Support cloud-native platform deployments across AWS, Azure, OCI, and OpenShift environments.
- Collaborate with development teams to support caching, messaging, streaming, and distributed application requirements.
- Implement monitoring, alerting, logging, and operational best practices for production environments.
- Drive platform governance, engineering standards, security compliance, and operational excellence.
- Work closely with Infrastructure, DevOps, Security, Architecture, and Application Engineering teams.
- Support Agile delivery methodologies and participate in sprint planning, backlog refinement, and technical discussions.
- Research, evaluate, and benchmark new platform technologies and engineering best practices.
- Ensure platform compliance with organizational security, regulatory, encryption, anonymization, and data integrity standards.
- Required Technical Skills Redis Strong hands-on experience with Enterprise Redis and Open Source Redis.
- Redis Cluster design, deployment, administration, and management.
- Redis performance tuning and optimization.
- High Availability (HA), replication, clustering, backup, and disaster recovery.
- Redis security and production support.
- Apache Kafka Kafka installation, setup, configuration, and administration.
- High-throughput messaging platforms.
- Kafka cluster management.
- Kafka monitoring and troubleshooting.
- Event-driven architecture implementation.
- DevOps & Platform Engineering OpenShift.
- Jenkins.
- ArgoCD.
- Git.
- GitOps.
- CI/CD pipeline implementation.
- Infrastructure automation.
- Production platform support.
- Cloud Technologies Experience working with one or more public cloud platforms: AWS Microsoft Azure Oracle Cloud Infrastructure (OCI) Distributed Systems Strong understanding of: Distributed systems architecture Distributed services resiliency Network fundamentals Host-level routing Streaming platforms Distributed caching Performance tuning Large-scale platform operations Streaming Technologies Experience with: Kafka Streaming datasets at scale Good to have: Kafka Streams Apache Flink Apache Beam Apache Spark Similar streaming technologies Software Engineering Design patterns Automated unit testing Integration testing Production troubleshooting Platform monitoring Cloud-native application architecture Security & Compliance Strong understanding of: Security engineering practices Infrastructure security Encryption Data anonymization Data integrity Regulatory compliance Secure logging practices PII handling Memory data protection Vulnerability management Functional Skills Experience working in Agile/Scrum environments.
- Strong analytical and problem-solving skills.
- Experience designing enterprise platform architectures.
- Technology research and benchmarking.
- Ability to influence engineering decisions across multiple teams.
- Strong ownership mindset with minimal supervision.
- Excellent troubleshooting and production support capabilities.
- Soft Skills Excellent verbal and written communication skills.
- Strong stakeholder management and collaboration skills.
- Strategic thinking with an innovation and R&D mindset.
- Self-motivated and proactive approach to problem-solving.
- Ability to work effectively in cross-functional and geographically distributed teams.
- Strong presentation and interpersonal skills.
Nice to Have
Apache Flink Apache Beam Kafka Streams Apache Spark Event-driven microservices Cloud-native architectures Infrastructure as Code (IaC) Kubernetes Container orchestration Large-scale financial services or enterprise platform experience Preferred Experience Enterprise Platform Engineering Technology Platforms Data Platforms Real-Time Streaming Platforms Cloud Infrastructure High-Availability Distributed Systems Banking or Financial Services domain (preferred) We are seeking an experienced Technology Engineer with strong expertise in Redis, Kafka, and cloud-native platform engineering to join our Technology Engineering team.
The ideal candidate will be responsible for designing, implementing, administering, and optimizing enterprise Redis and Kafka platforms supporting high-performance, real-time, mission-critical applications.
The role
requires strong experience in distributed systems, platform engineering, automation, DevOps, cloud technologies, CI/CD, and production support. The successful candidate will work closely with development, infrastructure, security, and operations teams to ensure platform scalability, resilience, performance, and security.
