Senior Staff Software Engineer Cloud & AI

We are looking for an exceptional Senior Staff Cloud & AI Platform Engineer to own, architect, 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.

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

Requirements

Bachelor’s or Master’s degree in computer science or related field; 10+ years of hands-on experience in DevOps, platform engineering, cloud infrastructure, or distributed systems; Proven experience designing and building 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

Benefits

People-first culture; Flexible work model; Focus on well-being; Commitment to fostering an inclusive environment