Software Development Engineer 2

Viavi Solutions; Chennai District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Viavi Solutions in Chennai is seeking a backend-focused Software Development Engineer 2 to join the Fault Management team within our AIOps platform. You will own modules end-to-end, from design to production support, and collaborate with platform architects and PMs on high-impact features.

You will build near-real-time streaming pipelines using Kafka Streams, Kafka Connect, and Apache Spark, and develop cloud-native Java/Spring Boot microservices.

Qualifications

• 3–8 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)

Responsibilities

• 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
• 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
• Build cloud-native microservices using Java and Spring Boot
• Design idempotent consumers, DLQs, and back-pressure for exactly-once / at-least-once semantics
• Use LLM-assisted coding and AI pair-programming tools to accelerate delivery
• Integrate ML-powered anomaly detection and RCA into fault workflows
• 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
• 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

Skills

Kafka

Java

Spring Boot

Distributed systems

LLD/HLD documentation

Agentic development

Tools

Kafka Connect

Apache Spark

Kafka Streams

Job description

## Software Development Engineer 2Applylocations: Chennai, INDtime type: Full timeposted on: Posted Todayjob requisition id: 260004903**Summary:**We're looking for a backend-strong individual contributor with 3–8 years of experience to join the Fault Management team within our AIOps platform. You'll own modules end-to-end — designing LLDs, building near-real-time streaming pipelines using Kafka Streams, Kafka Connect, and Apache Spark, and developing microservices in Java and Spring Boot. You'll be expected to debug complex distributed systems, act as the primary escalation point for critical production issues, and actively leverage agentic/LLM-assisted development tools. Strong knowledge of Kafka internals and distributed systems principles is a must. Experience in AIOps, telecom OSS/BSS, or cloud-native deployments is a plus.**Duties & Responsibilities:****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**Responsibilities**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-offsNear-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 toleranceBackend Engineering* Build cloud-native microservices using Java and Spring Boot* Design idempotent consumers, DLQs, and back-pressure for exactly-once / at-least-once semanticsAgentic 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 ratesDebugging & 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 incidentsQuality & 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*** 3–8 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)**Pre-Requisites / Skills / Experience Requirements:****Good 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)### About UsVIAVI empowers Service Providers and IT organizations to manage the network lifecycle for complex 5G and Fiber networks with intuitive instruments, systems and technologies; and our expertise in light management and optical coatings help protect the world's bank notes from counterfeiters, enhance the colors you see, and enable advanced technology such as 3D sensing.We are a team of thought leaders who have the freedom to support and innovate and look for new effective and efficient solutions for our customers.