Jobs at Cognyte

Design, build, and maintain high-performance C++ backend services on Linux for real-time, mission-critical data processing. Integrate databases, APIs, and distributed components; troubleshoot production issues; optimize reliability, latency, and performance; and deploy applications in Docker and Kubernetes environments. Improve automation, testing, and engineering practices while collaborating on investigative analytics solutions.

Manage sales growth and account relationships with US state, local, and federal agencies. Develop account plans, execute sales strategies, navigate procurement and contracting processes, build business pipelines, meet sales objectives, and communicate technical product capabilities. The role focuses on selling investigative intelligence technology to law enforcement, intelligence, and crime center organizations while collaborating with product, marketing, pre-sales, and delivery teams.

Drive revenue growth by developing and closing complex solution sales for government and homeland security agencies. Build strategic account plans, manage senior stakeholder relationships, lead negotiations, and position SIGINT, analytics, and AI/ML solutions. Collaborate with product, engineering, and delivery teams to tailor solutions, monitor competitive trends, and represent the company at industry events and customer meetings.

Integrate and validate complete systems, own system testing, investigate cross-component failures, develop integration tools such as data injectors and simulators, and support deployment and troubleshooting in lab and field environments. The role collaborates closely with backend and algorithm teams and requires experience with MATLAB, Python, C/C++, Linux, embedded systems, and preferably software-defined radios.

Supports the technical and solution-oriented aspects of the sales cycle through discovery, solution design, proposals, RFP/RFI responses, compliance matrices, product demonstrations, workshops, and proof-of-concept preparation. Translates customer requirements into solution architectures and collaborates with Sales, Product, Delivery, and global stakeholders. Maintains presales knowledge assets and uses enterprise AI tools for document analysis, information retrieval, content generation, and workflow automation.

Leads the global proof-of-concept operating model across products and regions. Establishes governance, standardized playbooks, KPI frameworks, resource allocation, asset lifecycle management, and financial planning for POCs and demos. Coordinates Sales, Product, Technical Support, Logistics, and other teams to improve execution, resource utilization, conversion rates, and business outcomes. The role also manages concurrent POCs, prioritizes technical resources, and drives continuous operational improvement.

Leads Israel’s finance and accounting operations, overseeing US GAAP and statutory reporting, financial close, SOX controls, audits, budgeting support, process automation, finance systems, and team development. Partners with global accounting, tax, treasury, legal, and business finance stakeholders while improving governance, efficiency, reporting quality, and internal controls.

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.

Design, develop, deploy, and maintain highly available, scalable microservices for a distributed analytics platform. Collaborate with product owners, architects, and international engineering teams; contribute to architecture, technical strategy, refactoring, and code reviews. Mentor junior and mid-level engineers while applying Java, cloud-native technologies, distributed systems, databases, messaging platforms, and testing methodologies to deliver reliable production software.

Designs, builds, and operates AWS cloud infrastructure and Kubernetes environments using Terraform, Helm, and Infrastructure as Code. Develops CI/CD pipelines, GitOps workflows, and deployment automation while supporting cloud-hosted and on-premises platforms. Implements AWS managed services, improves reliability, security, observability, disaster recovery, and cost efficiency, and collaborates with engineering, operations, and security teams on scalable production systems.

Lead budgeting, forecasting, long-term financial planning, variance analysis, and financial reporting. Partner with business units to translate financial data into strategic recommendations, monitor key performance metrics, and improve FP&A processes through automation and AI-driven solutions. The role requires strong Excel skills, financial analysis expertise, effective communication, and fluency in English.

Principal Software Engineer responsible for designing and deploying scalable microservices and distributed systems for a hybrid-cloud, multi-tenant SaaS intelligence platform. Leads complex technical initiatives, architecture, production readiness, reliability, and performance efforts while partnering across Product, Engineering, DevOps, Security, and customer-facing teams. Provides technical direction, design reviews, mentoring, and hands-on development using cloud-native, event-driven, high-throughput, and data-intensive technologies.

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.

Implement and operate DevSecOps security controls across CI/CD pipelines, software supply chains, containers, Kubernetes, and on-premises cloud-native environments. Integrate SAST, DAST, SCA, vulnerability scanning, SBOM, artifact validation, policy-as-code, secrets management, and secure configuration practices. Improve automation, manage security remediation, support air-gapped environments, recommend secure architectures, and coordinate with development, architecture, operations, and security teams.

Leads the global treasury function, overseeing liquidity, cash forecasting, collections, FX risk and hedging, banking relationships, credit facilities, investments, insurance, governance, and treasury systems. The role drives process improvements, automation, working capital optimization, KPI reporting, and cross-functional initiatives while supporting financial close and senior leadership decision-making across a multinational organization.

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.

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%.

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.

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.

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.