Technology Engineer - (Redis & Kafka)

Global Software Solutions Group

Bengaluru

Sur place

INR 1 500 000 - 2 100 000

Plein temps

14 jours+
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Résumé du poste

Global Software Solutions Group in Bengaluru seeks an experienced Technology Engineer with strong Redis, Kafka, and cloud-native platform engineering skills to design, implement, administer, and optimize enterprise Redis and Kafka platforms for real-time, mission-critical applications.

You will work with development, infrastructure, security, and operations teams to ensure scalability, resilience, performance, and security, and you will build automated CI/CD pipelines, manage deployments across

Qualifications

  • Hands-on Redis and Kafka in production
  • Experience with cloud-native platform engineering
  • Proficient in OpenShift, GitOps, and CI/CD
  • Strong automation and infrastructure-as-code skills
  • Experience with distributed systems and scalable architectures
  • Security and compliance awareness in cloud platforms

Responsabilités

  • Design, implement, configure, and manage Redis and Kafka clusters
  • Deploy and optimize Redis/Kafka for high throughput and real-time streams
  • Ensure HA, disaster recovery, security, and performance of platforms
  • Build and maintain CI/CD pipelines using Git, Jenkins, ArgoCD, and GitOps
  • Automate infrastructure provisioning using cloud automation tools
  • Collaborate with cross-functional teams to support caching, messaging, and streaming needs
  • Mentor teams on platform engineering standards and best practices
  • Research and benchmark new platform technologies

Connaissances

Redis
Kafka
Cloud-native
Platform engineering
DevOps
CI/CD
Automation
OpenShift
GitOps
AWS

Outils

Git
Jenkins
ArgoCD
Kubernetes
Terraform

Description du poste

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.

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
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 protectionVulnerability 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)
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