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.
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