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