Technology Engineer - (Redis & Kafka)
LocationBengaluru, Karnataka, India
SenioritySenior
DepartmentTechnology Engineering
Company size1,001–5,000 people
PostedAug 5, 2026 · 2mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
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 for Redis
Redis security and production support
Kafka installation, setup, configuration, and administration
High-throughput messaging platforms with Kafka
Kafka cluster management
Kafka monitoring and troubleshooting
Event-driven architecture implementation
OpenShift experience
Jenkins experience
ArgoCD experience
Git experience
GitOps experience
CI/CD pipeline implementation
Infrastructure automation
Production platform support
Experience with one or more public cloud platforms: AWS, Azure, OCI
Distributed systems architecture understanding
Distributed services resiliency understanding
Network fundamentals understanding
Host-level routing understanding
Streaming platforms understanding
Distributed caching understanding
Performance tuning for large-scale platform operations
Experience with Kafka streaming datasets at scale
Design patterns knowledge
Automated unit testing experience
Integration testing experience
Production troubleshooting experience
Platform monitoring experience
Cloud-native application architecture knowledge
Security engineering practices understanding
Infrastructure security understanding
Encryption understanding
Data anonymization understanding
Data integrity understanding
Regulatory compliance understanding
Secure logging practices understanding
PII handling understanding
Memory data protection understanding
Vulnerability management understanding
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
Excellent verbal and written communication skills
Strong stakeholder management and collaboration skills
Strategic thinking with innovation and R&D mindset
Self-motivated and proactive approach to problem-solving
Ability to work in cross-functional and geographically distributed teams
Strong presentation and interpersonal skills
Enterprise Platform Engineering experience
Technology Platforms experience
Data Platforms experience
Real-Time Streaming Platforms experience
Cloud Infrastructure experience
High-Availability Distributed Systems experience
Apache Flink experience
Apache Beam experience
Kafka Streams experience
Apache Spark experience
Event-driven microservices experience
Cloud-native architectures experience
Infrastructure as Code (IaC) experience
Kubernetes experience
Container orchestration experience
Large-scale financial services or enterprise platform experience
Banking or Financial Services domain experience
Skills
Redis
Kafka
AWS
Azure
OCI
OpenShift
Jenkins
ArgoCD
Git
GitOps
Apache Flink
Apache Beam
Apache Spark
Kubernetes
CI/CD
About the role
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
•
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)