Software Architect Lead

Описание

Checkmarx is the enterprise application security leader and the host of Checkmarx One™.

Responsibilities

• 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.

Requirements

• 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.
• 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.

We offer

• Great work environment, professional development, challenging careers, competitive compensation, great work-life balance, as well as great benefits and perks throughout the year.