Senior Technical Specialist-Performance Developer

We are seeking a highly skilled and experienced Performance Engineer to lead performance-focused development initiatives across large-scale distributed systems. The ideal candidate will drive performance optimization, scalability, and reliability across complex architectures, influencing system design decisions.

NIFN2026

Performance Engineering & Optimization

• Identify, analyse, and resolve performance bottlenecks across application, middleware, and infrastructure layers. 
• Conduct deep-dive analysis into CPU, memory, I/O, network, and latency issues. 
• Drive performance tuning initiatives for high-throughput and low-latency systems. 
• Establish performance benchmarks and define SLAs/SLOs for critical services. 

Debugging & Troubleshooting at Scale

• Lead root cause analysis for production performance issues and outages.
•  Debug complex issues in distributed environments involving multiple services and dependencies. 
• Analyse thread dumps, heap dumps, GC logs, and profiling data to diagnose issues. 
• Work closely with DevOps and Arch teams for arriving at Scalable Solutions/Fix.

System Design & Architecture 

• Provide design recommendations with a strong focus on Performance, Scalability and Resilience. 
• Evaluate trade-offs in distributed system design (e.g., consistency vs availability, throughput vs latency). 
• Influence architecture decisions for microservices, event-driven systems, and data pipelines. 
• Ensure systems are designed to handle large-scale workloads efficiently.

Benchmarking & Capacity Planning

• Design and execute performance tests (load, stress, endurance, spike testing). 
• Build benchmarking frameworks for new and existing features. 
• Perform capacity planning and forecasting for infrastructure and application growth. 
• Validate system behaviour under peak and failure scenarios.

Feature Development at Scale

• Contribute to development of new features with performance considerations from design to implementation. 
• Ensure efficient resource utilization and minimal performance overhead. 
• Optimize APIs, data models, and processing pipelines for scale.

Required Skills & Qualifications

• Graduate or Postgraduate in Engineering with 8 to 14 years of strong experience in Java performance tuning and JVM internals.
• Solid understanding of distributed systems and microservices architecture. Hands-on experience with containerized environments (Kubernetes).
• Deep knowledge of messaging systems (Kafka) and data stores.
• Experience in performance testing, benchmarking, and capacity planning.
• Strong debugging and analytical skills in complex production environments.
• Proven ability to lead teams and drive technical initiatives.

Preferred Qualifications

• Experience with large-scale telecom or network management systems.
• Exposure to real-time data processing and observability platforms.
• Familiarity with cloud-native architectures and CI/CD pipelines.
• Knowledge of system-level tuning (Linux kernel, networking, Muti Threading etc…).

Core Technologies

• Languages: Java (primary), Bash, Python (supporting)
• Frameworks & Platforms: Karaf (OSGi-based runtime)
• Kubernetes, Helm
• Apache Kafka (event streaming)
• OpenSearch/Elasticsearch (search & analytics)
• OpenTSDB (time-series data)
• Valkey /Redis (in-memory data store)
• MariaDB (relational database)
• Keycloak (Single-SignOn/authentication and identity systems)

Performance Analysis & Debugging Tools (JVM & Application Profiling)

• jstack (thread dump analysis)
• jmap (heap dump and memory analysis)
•  MAT (Memory Analyzer Tool)
• VisualVM 
• Java Flight Recorder (JFR)
• Kubernetes Tools: kubectl, metrics-server, Prometheus, Grafana
• Async Profiler (CPU & allocation profiling)
• YourKit / JProfiler (advanced profiling)
• GC Logs Analyzer tools (GCViewer, GCeasy)
• Linux Tools: top, htop, vmstat, iostat, netstat, sar
•  Network Debugging: tcpdump, Wireshark
•  Load Testing Tools: JMeter
• Logging & Observability: OpenSearch, Kibana

Key Competencies

• Problem-solving and analytical thinking
•  Quantitative Thinking - What you can’t measure you can’t improve.
•  Leadership and mentoring
• Performance-first mindset
• Strong communication and collaboration
• Ownership and accountability