Jobs at Cognyte

Design and evolve complex software and application architectures for scalable, reliable, high-performance systems. Translate product and customer requirements into infrastructure designs, estimates, integrations, data flows, and capacity plans. Provide solution architecture support for presales, guide global R&D teams, conduct performance tuning, and collaborate with Product and Engineering in Agile environments. The role requires expertise in distributed systems, microservices, cloud-native technologies, AI/GenAI architecture, telecommunications, networking, and large-scale on-premises systems.

Develop automation and specifications supporting the system automation testing lifecycle within an agile, cross-functional team. Collaborate with global development and QA teams to solve complex problems and build security technology solutions. The role requires hands-on experience with Angular, TypeScript, JavaScript, Java, web service APIs, automation tools, and source control systems, with microservices, containers, Playwright, Python, and networking experience considered advantageous.

Develop Java backend components and microservices in a distributed, cloud-native environment. Participate in software design, development, testing, deployment, and CI/CD within an Agile team. Collaborate with global development teams, product owners, architects, and integration engineers while applying best practices and increasing ownership of assigned tasks.

Develop and maintain reliable C++ software for deep packet inspection of IP traffic. Research and reverse engineer communication protocols, contribute to architecture and system design, participate in code reviews, uphold coding standards, and mentor junior engineers. Collaborate with international IP teams, architects, and product owners to build large-scale intelligence solutions.

Designs, deploys, automates, and maintains large-scale database platforms and infrastructure. Develops CI/CD pipelines, automation for deployment and recovery, monitoring, upgrades, and operational maintenance. Troubleshoots performance and production issues across distributed environments, collaborates with engineering and product teams, and evaluates emerging technologies. Provides on-call support and travels abroad three to four times annually as business needs require.

Lead the design, operation, and evolution of enterprise database platforms. Manage complex database initiatives from architecture through production support, mentor engineers, establish automation and operational standards, and investigate performance, scalability, availability, and data integrity issues. Drive technology evaluations, migrations, modernization, and proofs of concept while collaborating with Product, Architecture, R&D, DevOps, and customer-facing teams.

Develop and optimize machine learning models, including LLM applications, NLP, computer vision, and graph-based solutions. Design data pipelines, fine-tune models using SFT, LoRA, and QLoRA, and build LLM-based agent and multi-agent systems. Evaluate model performance, research emerging AI techniques, and integrate solutions into production. Collaborate with data, research, and software engineering teams while presenting technical findings to diverse stakeholders.

Develop full-stack software solutions across backend services, APIs, frontend applications, integrations, and infrastructure components. Lead complex features from architecture and design through delivery, contribute to scalable distributed systems, and build new products. Work with .NET, Angular, databases, microservices, containers, CI/CD, automation, and deployment workflows while solving complex problems independently and collaboratively.

Join the IP Network Intelligence team to own QA for deep-packet inspection and network-protocol features. Create test plans, execute end-to-end, integration, regression and system tests, analyze network traffic with packet-capture tools, log defects in Jira, develop/maintain automated tests, and collaborate with developers and product owners in an Agile scrum environment to ensure release quality.

Develop and maintain C++ code for deep packet inspection, collaborate on architecture, and mentor junior colleagues within an IP network intelligence team.

Design, develop, test, and maintain scalable Big Data systems and microservices. Own features, collaborate cross-functionally, leverage AI-assisted development tools, and improve engineering processes. Work with Spark, Hadoop, Kafka, containerization (Docker, Kubernetes, OpenShift) to solve complex technical challenges and deliver secure, high-quality solutions.

Design and implement scalable backend services and APIs using C#/.NET. Build microservices, integrate databases and messaging systems, containerize with Docker, participate in CI/CD and release automation, ensure testable, maintainable code, and collaborate on high-scale distributed systems.

Own the product vision, strategy, and roadmap while leading the lifecycle end-to-end. Collaborate with Data Scientists and engage with customers to refine AI-driven product features.