Software Architect Lead

Who are we? ​

Checkmarx is the AI-powered application security leader helping the world’s most security-

conscious enterprises secure the software that powers modern life. For more than two

decades, our unified platform and services have helped organizations protect human- and AI-

generated code from the first line through runtime, reducing risk across applications, cloud,

and the software supply chain without slowing innovation.​

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We’re trusted by 1,600+ customers in 70+ countries, including some of the largest enterprises

and governments in the world. Guided by research-led innovation and a developer-first

mindset, we help every developer, security team, and enterprise build software that is risk-free

by design.​

What are we looking for? ​

As we continue to evolve our platform, we're looking for an exceptional Software Architect Staff  to help shape the next generation of our cloud architecture and AI-powered engineering platform.

If you're passionate about solving complex distributed systems challenges, driving architectural excellence, and defining how AI transforms software engineering, we'd love to meet you.

​ How will you make an impact? ​

• Lead architecture and evolution of Checkmarx's cloud-native SaaS platform.

• Lead the organization's transformation from a traditional Software Development Lifecycle (SDLC) to an AI-Driven Development Lifecycle (AI-DLC), defining the vision, architecture, and best practices for AI-native software engineering.

• Take an active role in designing, building, and evolving Checkmarx's next-generation agentic development platform, enabling developers to leverage AI agents throughout the entire software development lifecycle.

• Design highly scalable, resilient, secure, and highly available distributed systems.

• Partner closely with Product Managers, Engineering Managers, Tech Leads, and development teams to translate business needs into scalable technical solutions.

• Produce high-quality architecture documents, technical designs, RFCs, implementation plans, and long-term technology roadmaps.

• Stay hands-on by building proof-of-concepts, validating new technologies, reviewing critical designs, and contributing to production code when needed.

• Drive platform-wide improvements around scalability, reliability, observability, performance, and operational excellence.

• Guide engineering teams through architectural decisions using technical leadership, collaboration, and influence.

• Mentor engineers and technical leaders while promoting engineering best practices across multiple R&D teams.

• Present architectural strategies and technical proposals to audiences ranging from developers to senior leadership and business stakeholders.

What is needed to succeed?

•  10+ years of experience designing and building large-scale distributed software systems.

• Proven experience as a Software Architect, Principal Engineer, or similar technical leadership role.

• Deep expertise designing and operating cloud-native SaaS platforms at scale.

• Extensive hands-on experience with Amazon Web Services (AWS) and modern cloud architecture.

• Strong Kubernetes expertise, including experience with technologies such as KEDA, Karpenter, and modern autoscaling strategies.

• Deep understanding of distributed systems, scalability, high availability, resilience, disaster recovery, and performance optimization.

• Strong knowledge of modern database technologies, data architecture, and large-scale data platforms.

• Excellent architecture documentation and technical writing skills, with the ability to communicate complex ideas clearly.

• Experience collaborating with Product Managers, Engineering Managers, Tech Leads, and software development teams.

• Strong leadership skills with the ability to influence technical direction without direct authority.

• Outstanding communication and interpersonal skills.

• A hands-on mindset—you enjoy building, experimenting, validating ideas, and working directly with engineering teams.

Nice to Have

•  Experience building AI-native systems or integrating Large Language Models into production environments.

• Experience designing or implementing AI-Driven Development Lifecycle (AI-DLC) processes.

• Experience building developer AI platforms, coding agents, agentic workflows, or engineering automation systems.

• Experience with technologies such as Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), agent orchestration frameworks, or AI evaluation platforms.

• Experience developing production software using  Go, Java, Node.js, and .NET Core .

• Hands-on experience with  Amazon Web Services (AWS)  is required. Experience with  Google Cloud Platform (GCP)  and  Microsoft Azure  is a plus.

• Experience presenting architectural strategies to technical and executive audiences.

• Experience designing or building enterprise-scale Data Lake platforms.