We are looking for an exceptional Staff Cloud & AI Platform Engineer to own and independently build a next-generation enterprise-scale deployment and orchestration platform.

This role goes far beyond traditional CI/CD or infrastructure automation - it sits at the intersection of distributed systems, control-plane architecture, SRE principles, and applied AI/agentic workflows.

Contribute to the design and implementation of a stateful deployment control plane that treats deployments as a continuous convergence problem.

Enable safe, resumable, deterministic, and SLO-governed rollouts across multi-cloud, on-prem, and customer environments.

Implement the practical application of AI agents in DevOps by embedding intelligent decision-making into deployment workflows.

Apply AI agents for anomaly detection, failure diagnosis, rollout control, and automated mitigation.

Ensure all AI-assisted workflows preserve correctness, determinism, and full auditability.

This is a high-impact individual contributor role requiring deep technical judgment, delivery ownership, and the ability to turn abstract design into production-grade systems.

Key Responsibilities :

- Design and implement a stateful deployment control plane with deterministic, resumable execution and rollback support.

- Build deployment workflows that reconcile desired vs. actual state using durable control loops.

- Support multi-cloud, on-prem, and customer environments with a single orchestration framework.

- Implement SLO-governed promotion gates, error-budget checks, and bounded retry policies.

- Enable deployment models including self-service, wave-based rollouts, blue-green, managed updates, and maintenance windows.

- Define declarative, extensible workflow schemas with explicit dependencies, retries, and rollback semantics.

- Integrate deployment orchestration with CI/CD systems, artifact manifests, entitlement services, and downstream execution systems.

- Embed AI-assisted decision logic into deployment workflows for anomaly detection, failure diagnosis, and rollout control.

- Ensure AI-driven actions remain deterministic, auditable, reversible, and policy-constrained.

- Develop infrastructure and automation frameworks using Terraform, Python, and cloud-native services.

- Embed observability and telemetry into workflows to drive automated validation, retries, and rollback decisions.

- Provide hands-on technical leadership, mentoring engineers and driving platform architecture across DevOps, SRE, and CloudOps teams.

Who You'll Work With :

This is an individual contributor role. You will collaborate with project team members and architects, and report to the Senior Engineering Manager.

What Makes You a Qualified Candidate :

- Bachelor's or Master's degree in computer science or related field.

- 8+ years of hands-on experience in DevOps, platform engineering, cloud infrastructure, or distributed systems.

- Proven experience developing and implementation of stateful systems such as control planes, workflow engines, or orchestration platforms.

- Experience building or operating enterprise-scale deployment systems across multi-cloud, hybrid, or on-prem environments.

- Deep expertise in CI/CD, release engineering, and deployment strategies including wave-based, blue-green, and managed rollouts.

- Practical experience applying SRE principles such as SLOs, error budgets, promotion gates, and automated rollback.

- Strong programming skills in Python, with the ability to build long-running services and automation frameworks.

- Hands-on experience with Infrastructure as Code, preferably Terraform, and cloud-native services (AWS, Azure, and/or GCP).

- Experience integrating observability and telemetry (metrics, logs, traces) into automated systems for decision-making.

- Demonstrated experience building or integrating AI-assisted or agentic workflows into DevOps or operational systems.

- Ability to design safe, auditable, policy-constrained automation, especially when applying AI or autonomous decision logic.

- Strong technical judgment and communication skills, with experience leading architecture across teams as an individual contributor.