Jobs at Cognyte

Design, develop, and operate large-scale data ingestion, transformation, enrichment, and processing pipelines across cloud, hybrid, and on-premises environments. Build distributed services using Java, Python, and Kafka; optimize data models and platform performance; deploy applications on Kubernetes; support infrastructure automation and CI/CD; troubleshoot production systems; and collaborate with customers and solution architects on implementations.

Supports technical and solution-oriented sales cycles for intelligence and security solutions. Leads discovery, solution design, proposals, demos, workshops, RFI/RFP submissions, and customer engagements. Builds relationships with technical and executive stakeholders, coordinates cross-functional teams, advises on engagement financials and risks, and influences product roadmap decisions. Designs solutions using analytics, SIGINT, cybersecurity, AI, telecommunications, big data, and cloud technologies.

Manage strategic sales across Germany and neighboring countries, focusing on military and defense organizations. Responsibilities include developing territories, generating opportunities, meeting quotas, managing pipelines, mapping customer technologies, identifying mission-critical needs, overseeing account activities, and executing partner sales plans. Requires German and English fluency, technical aptitude, strong communication skills, an established German military network, and travel of approximately 30%–50%.

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.

Conduct cyber threat intelligence collection and analysis across open, deep, and dark web sources. Monitor threat actors, malware, vulnerabilities, and cybercrime; correlate indicators; and produce actionable reports, alerts, assessments, and briefings. Support customer intelligence requirements, investigations, threat hunting, onboarding, demos, business reviews, and product feedback. The role also involves troubleshooting Linux, Unix, and Windows Server environments, Kubernetes, virtualization, LAN equipment, and intelligence platforms.

Build and optimize complex single-page applications using React and Node.js. Collaborate with international product and engineering teams, contribute to technical strategy, refactor existing code, conduct code reviews, mentor engineers, and evaluate emerging technologies. The role requires strong JavaScript, TypeScript, React, and broader front-end ecosystem expertise, plus experience with Node.js, MongoDB, monorepos, and modern development practices.

Lead product strategy, roadmap, prioritization, and lifecycle for map-centric analytical workspaces, BI dashboards, and visual analytics capabilities. Translate customer and business needs into reusable product capabilities, user stories, and requirements. Partner with Engineering, UX, domain product teams, customers, and go-to-market functions across Sofia and Israel. Conduct discovery, validate concepts, support delivery and adoption, and monitor trends in geospatial intelligence, BI, data exploration, and AI-assisted analytics.

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.

Design, architect, and scale backend platforms powering GenAI copilots and agentic decision flows. Build secure, resilient microservices and distributed systems that consolidate complex data for investigative analytics. Integrate AI models into high-performance production systems, collaborate with Data Science and Product teams, own critical components, maintain software stability, and mentor engineers. The role requires Java development, cloud-native technologies, messaging systems, relational and NoSQL databases, and experience operating high-velocity production environments.

Lead NPI activities for tactical multidisciplinary hardware products: manage projects, engineering processes, DFx, first article inspection, production support, lifecycle management, and manufacturer coordination from prototype to mass production.

Partners with stakeholders to analyze and optimize business processes, translate requirements into Salesforce and enterprise application solutions, and coordinate implementations. Configures and maintains Salesforce, supports lead-to-cash processes, develops reports and dashboards, manages UAT and release quality, troubleshoots application issues, and contributes to cross-functional projects and continuous improvement initiatives.

Partners with global stakeholders to analyze and optimize business processes, translate requirements into Salesforce and enterprise application solutions, coordinate projects, and support implementation. Configures Salesforce, manages lead-to-cash processes, develops reports and dashboards, leads UAT, troubleshoots application issues, and drives continuous improvement across enterprise systems.

Design and build scalable Salesforce solutions (Apex, LWC, Flows, Platform Events), implement integrations (REST/SOAP, Workato, Power Automate), ensure platform best practices, manage feature delivery, troubleshoot technical issues, and collaborate with business stakeholders and QA.

Lead complex pre-sales engagements from qualification to award. Architect and present solutions using intelligence analytics, SIGINT, cyber, telecom, AI/ML, big data, and cloud. Build customer relationships, drive proposals/RFP responses, coordinate cross-functional teams, and produce technical presentations and business cases.

Design, build, and scale Salesforce solutions using Apex, LWC, Flows, Platform Events, and integrations. Translate business requirements, implement REST/SOAP integrations and middleware (Workato, Power Automate), ensure platform best practices and governance, troubleshoot complex issues, and collaborate with stakeholders in Agile teams to deliver features.

Serve as the technical lead for presales in telecommunications, intelligence, and cyber domains. Manage cross-functional response teams, run customer-facing demos and POCs, prepare technical/marketing documentation, own presale demo systems and technical maintenance, and support pricing and solution assessments. Travel internationally up to 50%.

Design and build scalable Salesforce solutions using Apex, LWC, Flows and Platform Events; implement integrations (REST/SOAP, Workato, Power Automate); follow platform best practices, collaborate with stakeholders, manage delivery, troubleshoot complex issues, and apply AI tools to accelerate development.

Manage day-to-day marketing operations through hands-on HubSpot administration, workflow and automation development, email campaign execution, data hygiene, lead routing, reporting, and webinar operations. Support HubSpot-Salesforce integrations, troubleshoot synchronization and workflow issues, maintain documentation, and improve processes through AI-driven automation. The role requires accurate execution, technical troubleshooting, organization, and independent management of multiple operational tasks.

Own the product lifecycle for financial investigations and insurance capabilities; translate customer and market needs into prioritized requirements and roadmaps; partner with Engineering and cross-functional teams to deliver features; conduct customer and market discovery; monitor feedback, trends, and competition to improve the product.