Control Plane Jobs (NOW HIRING)

As the Head of Platform Engineering – Control Plane, you will lead the development and implementation of our platform control plane initiatives, building a highly flexible, scalable, governed execution plane.

• Collaborate closely with cross‑functional teams, stakeholders, and technology partners to develop and integrate automation solutions that drive business growth, improve customer experiences, and reduce operational costs.
• Own the roadmap and delivery for control plane capabilities such as identity and access management, tenant boundaries, policy enforcement, approvals, evaluation gates, observability, auditability, FinOps, secrets management, and lifecycle/promotion workflows.
• Build and scale a highly flexible, scalable, governed execution plane.
• Establish reliable APIs, registries, workflow services, policy engines, and orchestration services with clear contracts for downstream engineering teams.
• Drive engineering excellence through architecture reviews, design standards, testing, CI/CD, observability, incident response, reliability practices, and operational metrics.
• Partner effectively with product, architecture, security, risk, compliance, operations, and domain engineering teams to turn ambiguous platform needs into scalable engineering outcomes.
• Communicate and influence across senior stakeholders, simplifying complex technical topics and aligning teams around platform standards.
• Maintain a high ownership mindset with a bias for durable, reusable platform capabilities over one‑off solutions.
• Lead and mentor software engineering teams, including hiring, coaching, performance management, and developing senior technical talent.

• Bachelor’s or master’s degree in computer science, engineering, management, or a related field.
• Strong people leadership experience managing software engineering teams.
• Deep hands‑on technical background designing, building, and operating distributed, cloud‑native platform services in production.
• Experience leading platform, infrastructure, developer platform, AI/ML platform, security platform, or other reusable enterprise engineering capabilities.
• Strong understanding of enterprise governance, security, risk, compliance, and operational controls required to safely run AI or data‑intensive systems in production.
• Experience building reliable APIs, registries, workflow services, policy engines, or orchestration services with clear contracts for downstream engineering teams.
• Proven ability to drive engineering excellence through architecture reviews, design standards, testing, CI/CD, observability, incident response, reliability practices, and operational metrics.
• Experience with AWS‑based platform engineering, including Bedrock, SageMaker, Lambda, DynamoDB, API Gateway, EKS, IAM, CloudWatch, and related DevOps tooling.
• Experience designing or operating multi‑tenant platforms with RBAC/ABAC, entitlement models, service accounts, policy‑as‑code, and secure cross‑account or cross‑environment access patterns.
• Experience establishing developer‑friendly paved roads, reference architectures, templates, SDKs, CLI tools, or self‑service workflows that improve adoption and reduce support burden.
• Experience working in regulated environments where security, compliance, data residency, retention, and auditability are first‑class platform requirements.
• Background in MLOps, LLMOps, AIOps, model lifecycle management, or production AI operations.
• Experience with vendor integration strategies that preserve portability and avoid lock‑in through stable platform interfaces and clear architectural contracts.
• Comfort operating in a matrixed, global organization with onshore/offshore teams, multiple stakeholders, and evolving platform priorities.
• Experience with agentic AI systems, LLM platforms, model gateways, tool/action gateways, agent registries, evaluation frameworks, or AI developer tooling.
• Familiarity with AI governance patterns such as prompt‑injection defense, PII handling, output filtering, risk tiering, model/tool allow‑lists, HITL controls, and audit trails.

New York, New Jersey or Pennsylvania. Up to 10% travel within the US.

• Competitive compensation and total rewards package.
• Excellent medical, dental, supplemental health, life, and vision coverage with no wait period.
• Life and disability insurance.
• 401(k) with employer match.
• Tuition assistance, paid parental leave and backup family care.
• Flexible time off, dress code, and work location policies.
• Dynamic, modern work environments that promote collaboration and creativity.
• Social responsibility and community engagement.

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.