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Open nowFirst seen 19 hours ago

System Architect - Senior

cognyte/f2.00945 open roles

Where
India, Pune
Work mode
Hybrid
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Your applicationOpen nowSystem Architect - Seniorcognyte/f2.009 · India, Pune

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. cognyte/f2.009 postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 19 hours ago

cognyte/f2.009 median: 1 days open

The posting

At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

We are seeking a Senior System Architect to join our NI (Network Intelligence) Architecture Group. The role is focused on designing and evolving complex software and application architectures, with emphasis on scalability, performance, reliability, and cloud-native technologies.

The ideal candidate will have a strong software architecture background and solid knowledge of telecommunication systems, networking technologies, and protocols. You will be responsible for defining end-to-end system architecture, application interactions, interfaces, data flows, and integration approaches while working closely with development, product, and R&D teams.

As a Cognyter, you will:

  • Analyze requirements from product roadmaps and customer projects, translating them into detailed infrastructure designs and accurate effort estimations.
  • Provide solution architecture recommendations and effort estimates as part of presales and business development activities.
  • Conduct infrastructure sizing, capacity planning, and performance tuning to ensure optimal application and system performance.
  • Serve as a technical expert, providing guidance and best practices to R&D teams across infrastructure and architecture domains.
  • Collaborate closely with R&D and Product Management teams in an Agile environment to design scalable, resilient, and high-performance solutions.
  • Stay current with industry trends, emerging technologies, and best practices to drive innovation and continuous improvement across products and platforms.

Requirements

For that mission you’ll need:

  • BSc in Computer Science, Software Engineering, or an equivalent degree (minimum requirement).
  • 10-15 years of relevant industry experience in software architecture, system design, and distributed systems, including at least 5 years of proven experience leading and mentoring global R&D teams.
  • Work experience in a multicultural global company, effectively interfacing with internal stakeholders and customer-facing teams.
  • Proven experience as a Lead System Architect.
  • Proven experience in designing and architecting large-scale, complex on-premises systems.
  • Strong knowledge of modern technologies, including Microservices, Big Data platforms (Spark, Kafka), Databases (SQL/NoSQL), and Cloud-Native technologies (Kubernetes, Containers).
  • AI/GenAI Architecture expertise, with the ability to design scalable enterprise solutions that integrate LLMs, AI agents, and Generative AI services into distributed systems.
  • Background in Telecom Mobile Networks and IP Protocols.
  • Strong understanding of networking, security, monitoring, and infrastructure best practices.
  • Experience conducting infrastructure sizing, performance tuning, scalability assessments, and capacity planning.
  • Excellent problem-solving skills with strong attention to detail.
  • Strong communication, stakeholder management, and cross-functional collaboration skills.
  • An endlessly curious mindset with a passion for innovation, continuous learning, and solving complex technical challenges.

Advantage

  • AI-Augmented Engineering – Proficiency using AI coding and engineering assistants such as GitHub Copilot to accelerate architecture, development, testing, troubleshooting, and documentation.
  • Familiarity with Agile/Scrum development methodologies
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