Voise Tech Ltd
Website:
voisetech.com
Job details:
Location: Pune (Baner)
Job Type:Full time Work from Office
Experience: 3–5 years, hands-on
We are hiring a Kafka and DevOps / Streaming Platform Engineer.
At VoiseTech, we are building a high-scale AdTech platform designed to process billions of real-time events every day. We are looking for an engineer who combines deep Apache Kafka experience with strong DevOps and infrastructure skills.
This is not a role where Kafka is simply consumed as a managed cloud service. You will work close to the infrastructure — designing, deploying, operating, and performance-tuning our streaming stack across self-managed Kafka, Kubernetes, and dedicated bare-metal infrastructure.
What you will work with
Apache Kafka | Kafka KRaft | Kubernetes | Docker | Linux | ClickHouse | Redis | MongoDB | FastAPI | Prometheus | Grafana | CI/CD | Bare Metal
Exposure to Apache Flink is a strong plus.
What you will own
• Deploy, configure, administer, and upgrade self-managed Apache Kafka clusters
• Own Kafka topics, partitions, replication, retention, consumer groups, and capacity planning
• Diagnose production issues including consumer lag, broker failures, partition imbalance, rebalancing, and throughput bottlenecks
• Build and operate Kubernetes and Docker infrastructure for high-throughput services
• Work with ClickHouse, Redis, and MongoDB infrastructure
• Benchmark systems for QPS, throughput, latency, network utilization, CPU, memory, and scalability
• Build monitoring, alerting, and observability using Prometheus and Grafana
• Automate infrastructure and operational workflows using Bash, Python, and CI/CD
• Participate in production troubleshooting, disaster recovery, and performance engineering
• Help us continuously improve reliability as traffic scales by orders of magnitude
What we are looking for
You should have 3–5 years of hands-on engineering experience, including meaningful production experience with Apache Kafka. We specifically want someone who has installed, configured, operated, and troubleshot Kafka clusters — not only developed Kafka producers and consumers.
Strong fundamentals in Linux, networking, Docker/Kubernetes, and distributed systems are important. Experience with some of the following is a plus: Kafka KRaft, Flink, Kafka Connect, ClickHouse administration, Redis, MongoDB, Helm, Terraform, GitHub Actions, and bare-metal infrastructure.
How we think about AI
We want engineers who are AI-driven, not AI-dependent. Use AI aggressively to move faster — investigation, automation, coding, debugging, and documentation — but understand the systems you operate, validate the output, and be capable of diagnosing production problems independently.
Why this role is different
You will not just maintain infrastructure. You will help build the streaming backbone of VoiseTech’s AdTech platform from the ground up, work on real high-throughput distributed-systems problems, and have end-to-end ownership from infrastructure to production performance.
Interested? Send us your profile or reach out directly.
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