Staff Solutions Architect

Summary

Join Wiz, a rapidly growing cloud security company, as a Staff Solution Architect on the Continuous Improvement team. You will leverage your cloud-native engineering expertise to enhance service delivery and partner enablement. This role involves developing AI-driven automation, streamlining workflows, and implementing technical solutions to drive efficiency and scalability. You will collaborate with various teams to embed modern engineering practices and champion a culture of continuous improvement. The ideal candidate possesses extensive experience in cloud-native software engineering, automation, and AI/ML tools. This position offers the opportunity to make a significant impact in a dynamic and growing market.

Requirements

• 8+ years of experience in cloud-native software engineering, architecture, or solutions engineering
• Hands-on experience with Kubernetes, cloud infrastructure, and modern DevOps practices
• Strong programming skills in languages like Python, Go, or JavaScript, with experience in automation frameworks
• Familiarity with AI/ML tools and their application in automating tasks and improving workflows
• Proven ability to design and implement scalable, cloud-native architectures that drive efficiency
• Strong collaboration and problem-solving skills, with a track record of working across engineering, product, and business teams
• Expertise in container orchestration (Kubernetes, Docker), cloud platforms (AWS, GCP, Azure), and security best practices
• Experience with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and monitoring/logging tools
• Understanding of AI-assisted engineering, including code generation tools, automation platforms, and ML-powered decision-making

Responsibilities

• Apply cloud-native engineering best practices to enhance service delivery and partner enablement
• Develop and maintain AI-driven automation tools to streamline workflows and content generation
• Design and implement technical frameworks that drive efficiency and scalability
• Inspire out-of-the-box thinking and innovation by educating colleagues on the capabilities of generative AI
• Design and deploy automated systems to reduce manual effort, improve consistency, and democratize access to knowledge
• Leverage AI and ML tools to accelerate content creation, partner enablement, and operational improvements
• Create reusable engineering patterns and frameworks to ensure scalability across the organization
• Build solutions that help partners and internal teams adopt cloud-native security best practices
• Implement technical feedback loops that capture insights from engineers, partners, and customers to drive innovation
• Develop and document best practices for AI-assisted development and automation
• Identify technical gaps in partner and customer engagements, proposing innovative solutions to improve outcomes
• Develop tools and frameworks to support iterative learning, faster decision-making, and service innovation
• Mentor and coach internal teams on modern software development, AI-assisted engineering, and DevOps methodologies