Securonix
From Securonix's careers page
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At Securonix, we’re on a mission to secure the world by staying ahead of cyber threats, reinforcing all layers of our platform with AI capabilities. Our Securonix “ThreatQ” platform is a cyber threat intelligence (CTI) platform designed to help organizations collect, prioritize, analyze, and operationalize threat intelligence at scale. It acts as a centralized intelligence hub that integrates data from multiple internal and external sources, enabling security teams to turn raw threat data into actionable insights.
Securonix is proud to be a cybersecurity unicorn and featured in CRN's 2024 Security 100 list. Backed by Vista Equity Partners, one of the largest private equity firms with over $100 billion in assets under management, we have a unique advantage in driving innovation and growth. With a global footprint, we serve more than 1,000 customers worldwide, including 10% of the Fortune 100. Our network of 150+ partners and Managed Security Service Providers (MSSPs) enables us to deliver unmatched security solutions on a global scale.
Join us as we redefine cybersecurity, innovate fearlessly, and grow together as one team.
Lead architecture and design for major platform capabilities, translating product and customer needs into pragmatic, secure, and scalable technical plans.
Contribute to the evolution of ThreatQ’s service, data, and integration architecture, balancing near-term delivery with long-term operability and maintainability.
Design for scale across high-volume threat data ingestion, enrichment, search, analysis, and operational workflows; identify and address performance and reliability constraints.
Remain hands-on in implementation, including complex or high-impact changes, and establish a high bar for code quality, testing, observability, and operational readiness.
Provide technical leadership across teams through design reviews, clear technical proposals, sound trade-off decisions, and alignment on shared engineering standards.
Partner with product managers, security analysts, UX, security, and platform teams to clarify problems, define technical requirements, and deliver customer-focused outcomes.
Improve system reliability and service ownership through capacity planning, performance analysis, incident learning, risk reduction, and lifecycle management.
Guide the adoption of event-driven patterns, APIs, and cloud and on-prem deployment practices that support dependable integrations and customer environments.
Mentor engineers and grow technical capability through feedback, pairing, knowledge sharing, and support for sound independent decision-making.
10-12 years of professional software engineering experience and a bachelor’s degree in computer science or a related field, or equivalent practical experience.
Demonstrated experience shaping architecture and delivering complex software across multiple services, teams, or product areas.
Strong hands-on experience with PHP (including Laravel) and/or Python, and a solid grounding in object-oriented design and software engineering fundamentals.
Experience designing and operating data-intensive systems using SQL and databases or search technologies such as MariaDB, MongoDB, Redis, and Solr.
Working knowledge of front-end technologies such as React, TypeScript, HTML, and CSS, sufficient to contribute to full-stack design and delivery.
Experience with distributed or microservices architectures, RESTful APIs, JSON, and asynchronous processing or messaging systems such as RabbitMQ.
Experience with automated testing and quality practices using tools such as PHPUnit, pytest, or Jest.
Experience with CI/CD, Git-based collaboration, containers, and production operations; familiarity with Docker and Kubernetes.
Experience designing or supporting cloud infrastructure on AWS and infrastructure as code with Terraform; on-premises Kubernetes such as RKE2 is an advantage.
Ability to communicate architectural choices and trade-offs clearly, build alignment across teams, and influence without relying on formal authority.
Experience working in Agile product engineering environments.
Experience using AI-powered developer tools (e.g., coding assistants, internal copilots, workflow automation) to improve engineering productivity, code quality, and development efficiency.
Experience designing, prototyping, and integrating AI agents and intelligent services into internal systems and customer-facing products.
Experience collaborating with product, security, and platform teams to incorporate AI capabilities that meet enterprise requirements for reliability, security, and scalability.
Experience mentoring or guiding engineers on effective use of AI tools, prompt engineering techniques, and practical evaluation of AI-driven features in production environments.
Securonix provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws.
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