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Open nowPosted 60 days ago

Technology Engineer - (Redis & Kafka)

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowTechnology Engineer - (Redis & Kafka)Workable (global search) · Bengaluru, KA, India

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 60 days ago

Workable (global search) median: 7 days open

The posting

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)
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