Curious about what it’s like to work at Cognyte?
At Cognyte, you’ll help build our Decision Intelligence product, bringing Nexyte capabilities to real-world impact.
You'll be part of building unique solutions shaped by real investigative methodologies, enabling customers to identify, investigate, visualize, and prevent criminal, terror, and security threats worldwide. Our solutions help organizations transform massive, diverse data into clear, actionable intelligence for a safer world.
We work with a startup mindset, moving fast, owning outcomes, and creating technology that helps make the world safer.
As a Cognyter you will:
- Design, develop, and deploy scalable microservices that handle and analyze massive amounts of data in distributed environments, with a strong focus on high availability, low latency, performance, resilience, and scalability.
- Shape the architecture of a hybrid-cloud, to build a multi-tenant SaaS product, influencing key technical decisions across cloud, on-prem, data, security, and operational domains.
- Lead complex technical initiatives end to end - from discovery and design through implementation, production readiness, and long-term evolution.
- Partner closely with Product, Architecture, Engineering, DevOps, Security, and customer-facing stakeholders to translate business needs into robust technical solutions.
- Drive engineering excellence by setting technical direction, reviewing designs, improving code quality, and raising the bar for maintainability, scalability, and reliability.
- Mentor and guide engineers across teams, helping them grow technically while fostering strong collaboration, ownership, and pragmatic decision-making.
- Stay hands-on with modern cloud-native technologies, while remaining open-minded and pragmatic in choosing the right tool for the problem.
For that mission you'll need:
- At least 10+ years with proven technical leadership and hands-on experience leading the design of complex distributed systems.
- Strong experience designing and building large-scale distributed systems, microservices, and data-intensive platforms in production environments.
- Hands-on experience building cloud-native services in GCP/AWS/Azure environments using technologies such as Kubernetes.
- Proven Experience designing systems for hybrid-cloud, multi-tenant SaaS environments, including scalability, tenant isolation, security, reliability, and operational considerations.
- Experience with event-driven and high-throughput architectures using technologies such as Apache Kafka, RabbitMQ, or similar.
- Experience with both relational databases, preferably PostgreSQL, NoSQL databases such as MongoDB and Graph Databases.
- Experience with Elasticsearch or similar search and analytics technologies - an advantage.
- Strong understanding of testing methodologies, observability, performance tuning, production readiness, and engineering practices that support reliable, scalable systems.
- Familiarity with AI/ML workloads execution - an advantage.
Skills Required
- At least 10 years of experience with proven technical leadership and hands-on experience leading the design of complex distributed systems.
- Strong experience designing and building large-scale distributed systems, microservices, and data-intensive platforms in production environments.
- Hands-on experience building cloud-native services in GCP, AWS, or Azure environments using technologies such as Kubernetes.
- Experience designing systems for hybrid-cloud, multi-tenant SaaS environments, including scalability, tenant isolation, security, reliability, and operational considerations.
- Experience with event-driven and high-throughput architectures using Apache Kafka, RabbitMQ, or similar technologies.
- Experience with relational databases, preferably PostgreSQL.
- Experience with NoSQL databases such as MongoDB and graph databases.
- Experience with Elasticsearch or similar search and analytics technologies.
- Strong understanding of testing methodologies, observability, performance tuning, production readiness, and engineering practices supporting reliable, scalable systems.
- Familiarity with AI/ML workload execution.
Cognyte Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cognyte and has not been reviewed or approved by Cognyte.
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Healthcare Strength — Health coverage spans medical, dental, vision, disability, life insurance, mental‑health support, and FSA options. Coverage is generally portrayed as solid within a well‑rounded package.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, floating holidays, wellness days, and paid volunteer time. These elements indicate a comprehensive time‑off offering.
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Wellbeing & Lifestyle Benefits — Work setup includes flexible schedules and hybrid/remote options highlighted across public materials. Flexibility is emphasized alongside the core benefits offering.
Cognyte Insights
What We Do
Cognyte is a leading software-driven technology company focused on solutions for data processing and investigative analytics that allow customers to generate Actionable Intelligence for a Safer World™. We empower law enforcement, national security, national and military intelligence agencies, and other organizations to navigate an increasingly complex threat landscape with greater speed, accuracy, and precision.
Why Work With Us
Driven by curiosity and a purpose with real-world impact, we place innovation at the core as we tackle complex, fascinating challenges where bold questions forge real breakthroughs.
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