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.

Checkmarx offers a great work environment, professional development, challenging careers,

competitive compensation, great work-life balance, as well as great benefits and perks

throughout the year. Checkmarx is an Equal Opportunity Employer. Employment decisions are

made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation,

gender identity or expression, age, disability, or other characteristics protected by law. ​