Summary:

About The Role

You'll be a core individual contributor on the Fault Management team, building near-real-time streaming pipelines and intelligent fault-processing capabilities within our AIOps platform. You own module delivery end-to-end — from low-level design through production support — and work with platform architects and PMs to ship high-impact features.

Tech Stack

Java

Spring Boot

Apache Kafka

Kafka Streams

Kafka Connect

Apache Spark

Duties & Responsibilities:

Responsibilities

Job Description – Senior Software Engineer

Module Ownership

Own one or more fault-management modules end-to-end

Write LLD documents for every feature request and present for team review

Drive technical decisions within your module — velocity vs. reliability trade-offs

Near-Real-Time Pipelines

Build event-driven pipelines with Kafka Streams and Kafka Connect for fault ingestion, correlation, and enrichment

Implement Spark batch and micro-batch jobs for large-scale fault analytics

Meet SLA targets for latency, throughput, and fault tolerance

Backend Engineering

Build cloud-native microservices using Java and Spring Boot

Design idempotent consumers, DLQs, and back-pressure for exactly-once / at-least-once semantics

Agentic Development

Use LLM-assisted coding and AI pair-programming tools to accelerate delivery

Integrate ML-powered anomaly detection and RCA into fault workflows

Prototype new AI capabilities that improve automated fault resolution rates





Debugging & Incident Support

Diagnose issues across Kafka brokers, Streams topologies, Spark executors, and Spring Boot services

Primary escalation point for critical production incidents in your module

Write runbooks and post-mortems to prevent repeat incidents

Quality & Operational Excellence

Unit, integration, and contract tests; peer code reviews

Observability — metrics, tracing, structured logging; on-call rotation

Contribute to CI/CD and infra-as-code improvements

Required Skills

- 6+ years of hands-on backend / data engineering experience
- Production Kafka systems — topics, partitioning, consumer groups, offset management
- Kafka Streams DSL and Processor API; stateful and stateless topologies
- Kafka Connect — source and sink connectors, lifecycle management
- Apache Spark — Structured Streaming, DataFrames, Spark SQL at scale
- Java 11+ and Spring Boot 3.x — REST, security, reactive patterns
- Deep debugging across multi-threaded, distributed JVM systems
- LLD/HLD documentation; distributed systems principles (CAP theorem, eventual consistency)

Positive to Have

AIOps or observability platform experience

Agentic development workflows or LLM-integrated toolchains

Telecom fault management standards (TM Forum, IETF YANG/NETCONF) or OSS/BSS domain knowledge

Kubernetes, service meshes, cloud-native deployments (AWS / Azure / GCP)

Pre-Requisites / Skills / Experience Requirements:

📌 Senior Software Engineer - AI/ML (Chennai)
🏢 Viavi Solutions
📍 Chennai