Jobs at Cognyte

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.

Leads sales finance business partners and advises senior sales leadership on financial strategy, forecasting, budgeting, pipeline analysis, QBRs, complex deal structuring, pricing, margin optimization, and subscription-business transformation. Oversees financial processes, develops KPIs, identifies performance opportunities, and supports data-driven decisions. Requires significant business partnership experience, leadership ability, financial modeling expertise, and experience in publicly traded companies, with SaaS experience preferred.

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.

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.

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.

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.

Supports complex customer systems by installing, configuring, testing, and troubleshooting hardware, operating systems, applications, management tools, and infrastructure. Serves as the customer focal point, coordinates with vendors and support teams, manages escalations, investigates reported issues, demonstrates fixes, and prepares root cause analyses and technical documentation. The role requires experience with Linux and Windows, automation, containers, CI pipelines, scripting, big data, networking, and virtualization.

Own and grow Cognyte’s Australian government sales business by developing strategic accounts, building sales pipelines, leading complex enterprise sales cycles, managing partners and channels, and achieving revenue targets. The role focuses on law enforcement, national security, intelligence, defense, and government customers, requiring senior stakeholder engagement, forecasting, negotiation, solution communication, and approximately 50% travel.

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.

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.

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.