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Cognyte

Sr. Performance Engineer

Posted 11 Days Ago
Be an Early Applicant
In-Office
Pune, Mahārāshtra
Senior level
In-Office
Pune, Mahārāshtra
Senior level
The role involves architecting optimized systems for performance, designing observability solutions, and collaborating with engineering teams. Candidates need extensive experience in performance engineering and cloud-native technologies.
The summary above was generated by AI

We are Cognyte, the global leader in security analytics software. Over 1,000 government and enterprise organizations in more than 100 countries rely on Cognyte’s solutions to accelerate security investigations and successfully identify, neutralize, and prevent threats to national security, business continuity, and cyber security.

We are seeking for a highly skilled and experienced System Architect to join our NI (Network Intelligence) architecture group. The ideal candidate will lead the design and evolution of our enterprise systems. This role requires deep expertise in system security posture, cloud-native architecture, infrastructure technologies, and modern CI/CD pipelines. The ideal candidate will be a strategic thinker with hands-on technical capabilities and a passion for building scalable, secure, and resilient systems.

So, if you’re looking to apply your expertise and well-honed skills in System Infrastructure & Security Architecture, and: are driven by curiosity,

  • thrive on solving the most complex challenges, and
  • are looking for a unique opportunity to grow and contribute
  • in an exciting and rewarding environment
  • Then we want to meet you!

Your impact

  • Architect and optimize systems for performance, scalability, and reliability across different cloud native technologies and virtualized environments.
  • Design and guide the load testing, benchmarking, and performance tuning of critical infrastructure and applications.
  • Design and implement observability solutions using tools such as Prometheus, Grafana, Open-Telemetry, or similar.
  • Develop strategies for resource management, including dynamic scaling and auto-scaling based on demand and performance metrics.
  • Define best practices for monitoring, alerting, and incident response.
  • Analyze system bottlenecks and propose architectural improvements.
  • Define required system specifications according to testing conclusions.
  • Work closely and collaborate with engineering and DevOps teams to ensure systems are designed with performance and observability in mind.
  • Stay up to date with emerging technologies in observability, performance engineering, and cloud native infrastructure.

Your toolbox

  • Proven experience as a Performance Engineer with 6+ years in large-scale environments.
  • Strong understanding of load testing tools and benchmarking methodologies.
  • Hands-on experience with observability platforms and telemetry pipelines.
  • Deep knowledge of cloud-native architectures and auto-scaling mechanisms (e.g., Kubernetes HPA).
  • Strong understanding of networking, and virtualization technologies
  • Familiarity with infrastructure automation and CI/CD practices.
  • Experience with configuration management
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills
  • An endlessly curious mind with a drive for new challenges

Advantage

  • BSc in computer science or equivalent degree 
  • Background in capacity planning and sizing factors definition
  • Certification in performance engineering
  • Experience with distributed tracing and log aggregation tools
  • Work experience in a global company
  • Familiarity with Agile/Scrum development methodologies

Top Skills

Ci/Cd
Cloud-Native Architecture
Configuration Management
Grafana
Kubernetes
Open-Telemetry
Prometheus
Virtualization Technologies

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