Principal Software Engineer, Identity & AI Governance

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Software Engineer, Identity & AI Governance in United States. This is a unique opportunity for an experienced engineering leader to shape the future of identity, security, and AI governance at global scale. In this role, you will architect and evolve mission-critical systems responsible for authentication, authorization, policy enforcement, and enterprise AI governance across a highly distributed cloud ecosystem. You’ll collaborate closely with cross-functional teams spanning security, AI, platform engineering, and product development to build secure, scalable, and reliable infrastructure that supports billions of daily interactions. The environment is fast-paced, innovation-driven, and deeply technical, offering the chance to influence long-term platform strategy while mentoring senior engineering talent. This position is ideal for someone passionate about cloud-native architecture, AI-enabled systems, and solving complex security challenges in modern software platforms. Fully remote within the United States, the role combines strategic leadership with hands-on technical impact.
• Accountabilities: Lead the architecture and evolution of large-scale identity and AI governance systems, ensuring high standards of security, scalability, reliability, and compliance. Drive technical strategy and influence system design decisions across authentication, authorization, identity federation, and enterprise governance services. Partner with Security, AI, Platform, and Product teams to align technical solutions with long-term business and platform objectives. Establish engineering best practices for maintainability, testing, observability, deployment safety, and operational excellence. Mentor and guide senior engineers through architecture reviews, code quality initiatives, and technical leadership development. Develop frameworks to proactively identify and mitigate technical risks across complex distributed systems and cloud-native environments. Lead performance optimization, deployment governance, and incident resolution efforts for Tier-0 infrastructure services operating at massive scale. Utilize data analytics and engineering metrics to continuously improve platform quality, developer productivity, and system performance. Requirements: 9+ years of experience in software engineering, systems architecture, or related technical fields, depending on educational background, with proven expertise delivering large-scale production systems. Strong programming experience in one or more languages such as Go, Java, Python, JavaScript, C#, Ruby, Rust, or C++. Deep expertise designing and operating identity systems, including authentication services, authorization frameworks, identity federation, and access control models. Strong understanding of identity protocols and standards such as OAuth, OIDC, SAML, and SCIM. Experience building or operating enterprise AI governance platforms, policy engines, or compliance-focused control planes. Proven background in cloud-native technologies and distributed systems, including Kubernetes, Azure, AKS, or similar environments. Excellent leadership, mentoring, communication, and stakeholder management skills with the ability to influence both technical and non-technical audiences. Experience with AI-driven architectures, agentic systems, or AI APIs is highly valued. Strong analytical thinking, problem-solving capabilities, and commitment to engineering excellence and operational reliability. Benefits: Competitive base salary ranging from $160,200 to $425,000 annually depending on experience, location, and qualifications Eligibility for annual bonuses, stock awards, and additional performance-based incentives Fully remote work opportunity within the United States Comprehensive medical, dental, and vision insurance coverage Generous learning, development, and career growth opportunities Collaborative and inclusive engineering culture focused on innovation and impact Flexible work environment designed to support work-life balance Opportunity to work on cutting-edge AI, identity, and cloud technologies at global scale.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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