The role involves leading performance engineering initiatives, optimizing large-scale distributed systems, debugging complex performance issues, providing design recommendations, and ensuring systems are efficient for high workloads.
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.
ResponsibilitiesNIFN2026
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
Some of our benefits:
- Flexible and hybrid working schemes
- A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility)
- Life insurance to all employees to provide peace of mind and financial security
- Well-being programs to support your mental and physical health
- Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
- Employee Growth Solutions to support your personalized career & skills development
- Diverse pool of Coaches & Mentors to whom you have easy access
- A learning environment which promotes personal growth and professional development - for your role and beyond
Learn about additional benefits in specific countries.
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