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
- 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
Skills Required
- 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.
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
-
Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
-
Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
-
Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.

.jpeg)





