Staff Software Engineer - Back-End & Agentic AI

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.

Responsibilities:

• 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.

Required Skills:

• 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.

AI Tools & Agent Integration Experience:

• 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 inte…