Security & System Integrity

• Implement and maintain security best practices across internal tools and AI workflows
• Manage authentication, authorization, and access controls (RBAC, secrets, API keys)
• Ensure secure handling of sensitive data across integrations and AI systems
• Monitor for vulnerabilities, misconfigurations, and potential abuse
• Protect systems against risks specific to AI-enabled environments

Cross-Functional Impact

• Work closely with operations and leadership to translate business needs into systems
• Improve how teams operate by reducing manual work and increasing leverage

What Makes Someone Successful Here

• Thinks like a product builder, not just a developer
• Comfortable owning systems end-to-end (build → deploy → maintain → improve)
• Strong at debugging messy, real-world system issues
• Understands tradeoffs between speed (AI-assisted builds) and reliability
• Focused on business outcomes, not just technical elegance
• Proactively identifies opportunities to improve systems and processes

Requirements & Qualifications

• 5+ years of experience in software engineering, platform engineering, or similar roles
• Proven experience building and maintaining internal tools, automation systems, or operational platforms
• Strong backend and system design fundamentals, with the ability to design scalable, reliable systems
• Experience with API integrations and system orchestration, connecting multiple tools and services into cohesive workflows
• Practical experience with CI/CD pipelines, deployment workflows, and infrastructure management
• Familiarity with observability, logging, and monitoring systems to ensure reliability and performance
• Strong experience designing and implementing workflow automation and system optimization
• Ability to analyze processes and identify opportunities to improve operational efficiency
• Hands-on experience working with AI tools in production environments, including LLMs, agents, or automation platforms
• Ability to integrate AI into real business workflows with sound judgment
• Understanding of agent-based systems and orchestration patterns
• Solid understanding of security fundamentals, including authentication, authorization, encryption, and secrets management
• Experience with secure API design and integration practices
• Familiarity with common vulnerabilities (OWASP mindset) and ability to identify risks
• Understanding of AI-specific security risks, such as data leakage, prompt injection, and over-permissioned agents
• Strong debugging and troubleshooting skills across applications, infrastructure, and integrations
• Ability to navigate and resolve complex, real-world system issues
• Strong understanding of system reliability, performance, and operational excellence
• Ability to operate independently with high ownership and accountability

Nice to Have

• Experience designing AI-powered internal platforms or automation layers
• Experience with agent-based systems or workflow orchestration tools
• Familiarity with cloud platforms and containerized environments
• Background in scaling internal systems in fast-growing companies

What We Offer You

• Competitive compensation based on experience and impact
• High-autonomy environment with strong ownership expectations
• The opportunity to shape how GBS builds automation-first and AI-native systems
• Flexible time off and company-wide holidays
• Direct impact on business efficiency and scalability
• A role focused on building systems that matter, not just shipping code

Originally posted on Himalayas