Jobs at Securonix

Lead quality engineering for distributed data platforms, microservices, APIs, web applications, and agentic AI systems. Develop automated testing frameworks and validate data quality, scalability, resilience, browser workflows, API contracts, and event-driven architectures. Design evaluation strategies for LLM, RAG, and multi-agent applications, including security, safety, groundedness, tool use, and guardrails. Mentor engineers and integrate automated quality gates into CI/CD pipelines.

Design, develop, and optimize scalable React.js user interfaces and reusable components. Translate designs into high-quality applications, improve performance and responsiveness, write maintainable code, participate in reviews, troubleshoot complex issues, and provide technical guidance. Collaborate with product owners and designers, mentor developers, stay current with web technologies, and contribute to system architecture and innovation.

Lead customer-facing SIEM implementations, integrations, and operational deployments. Architect secure data flows, deploy collectors and agents, develop detection content, use cases, dashboards, data models, and connectors, and integrate SOAR for response orchestration. Troubleshoot network and infrastructure issues, align delivery teams, gather product requirements, and train customers and partners. The role requires extensive information security and SIEM experience, scripting skills, knowledge of attack frameworks, and strong customer communication.

Lead customer-facing SIEM implementations and integrations, including architecture, data onboarding, secure cloud data flows, custom detection use cases, dashboards, connectors, and SOAR deployments. Troubleshoot network and infrastructure issues, develop security content aligned with threat models, coordinate cross-functional delivery, gather product requirements, and train customers and partners. The role requires extensive SIEM and information security experience, scripting knowledge, strong communication skills, and familiarity with multiple SIEM, cloud, logging, and security technologies.

Conduct information security control self-assessments, risk assessments, vendor reviews, audits, and compliance activities across frameworks including SOC 2, ISO 27001, ISO 42001, HITRUST, and PCI. Maintain the risk register, policies, standards, procedures, audit evidence, and remediation plans in GRC systems. Collaborate with technology, security, auditors, and internal stakeholders to improve the organization’s security posture and mature its governance, risk, and compliance program.

Supports the Information Security Risk and Compliance program by conducting control self-assessments, risk assessments, vendor reviews, and audits. Coordinates audit evidence gathering, maintains the risk register and GRC documentation, develops security policies and procedures, and tracks remediation plans. The role partners with technology and security teams to improve the organization’s compliance posture against SOC 2, ISO 27001, ISO 42001, HITRUST, PCI, and related frameworks.

Lead customer-facing SIEM implementations and integrations, including data collection, secure cloud data flows, detection use cases, dashboards, connectors, and SOAR orchestration. Troubleshoot network and infrastructure issues, develop security content aligned to threat models, coordinate cross-functional delivery, gather product requirements, and train customers and partners. Requires information security and SIEM experience, scripting skills, customer communication, and familiarity with major SIEM platforms, attack frameworks, and security integrations.

Leads customer SIEM implementations, integrations, data onboarding, secure cloud data flows, detection use-case development, dashboards, connectors, and SOAR deployments. Troubleshoots network and infrastructure issues, develops security content, gathers customer requirements, supports product improvements, and trains customers and partners. Requires extensive information security and SIEM experience, knowledge of attack frameworks and scripting, strong customer-facing communication, and relevant cybersecurity certifications.

Design, develop, and maintain a scalable threat intelligence platform using backend, frontend, cloud, database, and AI technologies. Collaborate with product, security, and engineering stakeholders to translate requirements into reliable software. Lead code quality practices, documentation, testing, CI/CD, and microservices development while mentoring software developers. Integrate AI agents and intelligent services into enterprise products, and guide teams on AI tooling, prompt engineering, and production evaluation.

Designs, develops, and maintains scalable Java applications for cybersecurity products. Leads complex software solutions, mentors developers, collaborates with product and security stakeholders, participates in code reviews, improves development practices, and produces technical documentation. The role requires expertise in Java or Python, databases, cloud platforms, CI/CD, testing, microservices, containers, APIs, AI agent integration, and Agile development.

Develop and maintain Securonix’s ThreatQ threat intelligence platform, focusing on scalable backend services, performance, maintainability, and AI agent integrations. Collaborate with product managers, designers, security analysts, and engineers to translate requirements into technical solutions. Contribute to code reviews, testing, documentation, CI/CD practices, microservices, APIs, and event-driven architecture while applying secure software development and modern cloud technologies.

Designs and maintains scalable Python, Pytest, and Playwright automation across API, UI, backend, integration, and end-to-end workflows. Validates REST APIs, microservices, data pipelines, and complex cybersecurity product workflows. Integrates testing into CI/CD, performs root-cause analysis, improves testability and coverage, and mentors QA/SDET engineers. The role supports SIEM and threat intelligence products while exploring AI-assisted testing.

Support the availability, performance, and reliability of an enterprise SaaS platform. Responsibilities include resolving complex production incidents, troubleshooting distributed microservices and infrastructure, meeting SLA and SLO targets, coordinating incident response, validating service recovery, monitoring systems, and preparing root-cause analyses. The role requires AWS, Kubernetes, Linux, cloud infrastructure, observability, databases, scripting, automation, and participation in rotational 24/7 on-call coverage.

Leads DevOps architecture and automation, designing CI/CD pipelines, containerized deployment strategies, infrastructure as code, cloud integrations, observability, disaster recovery, and security practices. Mentors engineers, conducts architecture reviews, optimizes deployment environments, and coordinates with cross-functional teams. The role requires deep expertise in Python, Ansible, Jenkins, Docker, Kubernetes, Helm, Octopus Deploy, cloud platforms, Linux, networking, and monitoring tools.

Lead the design, development, and maintenance of scalable cybersecurity software. Mentor development teams, guide architecture, conduct code reviews, translate requirements into technical solutions, resolve defects, and maintain quality standards. The role requires extensive Java and microservices expertise, cloud and containerization experience, CI/CD and version-control knowledge, testing proficiency, and familiarity with AI agent integration. The principal engineer will collaborate with product and security stakeholders while contributing to technical documentation and continuous improvement.

Lead the design, development, and maintenance of scalable cybersecurity software. Mentor development teams, guide architecture and technical decisions, review code, resolve defects, collaborate with product and security stakeholders, and ensure secure, reliable, high-quality delivery. The role requires advanced Java and microservices expertise, cloud and containerization experience, Agile and DevOps knowledge, CI/CD proficiency, and familiarity with agentic AI integrations.

Design, develop, maintain, and improve a scalable SIEM product. Collaborate with product, design, security, and engineering stakeholders to translate requirements into technical specifications. Write high-quality code, participate in code reviews, maintain documentation, and apply testing, CI/CD, cloud, microservices, and containerization practices. Stay current with cybersecurity technologies and contribute to Agile development initiatives.

Leads a DevOps team responsible for architecting and maintaining CI/CD pipelines, deployment automation, cloud infrastructure, container orchestration, observability, disaster recovery, and infrastructure as code. The role requires deep expertise in Python, Ansible, Jenkins, Docker, Kubernetes, Helm, Octopus Deploy, cloud platforms, Linux, networking, and monitoring tools. Responsibilities also include architecture reviews, DevOps best-practice adoption, mentoring junior engineers, and cross-functional collaboration.

Lead SIEM implementations and integrations, design secure data flows, onboard logs and agents, develop detection content and dashboards, deploy SOAR integrations, troubleshoot onboarding issues, train customers, and collaborate with product and delivery teams to tailor security use cases.

Lead end-to-end SIEM implementations and integrations, design secure data flows and collectors, develop use cases, content, dashboards and connectors, troubleshoot onboarding issues, deploy SOAR integrations, advise product teams, and train customers for adoption.