Site Reliability Engineer - Sr. Consultant

📍 Us Austin, United States·🏢 On-site

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Responsibilities

Define and implement scalable, resilient, and secure platform patterns for Kubernetes‑based workloads.
Proactively identify and mitigate reliability and scalability risks.
Design and maintain Infrastructure‑as‑Code solutions that are reproducible, auditable, and scalable.
Promote automation‑first and GitOps‑aligned approaches to reduce manual effort and operational risk.
Influence technical standards, architectural decisions, and platform best practices across the organization.
Mentor engineers through technical guidance and example, without direct people management responsibility.

This position requires deep expertise in Azure, with the flexibility to actively contribute to AWS‑based platforms, especially during transitional periods.
Responsibilities Platform Engineering & Cloud Architecture Design and evolve cloud platform architectures primarily on Azure, while contributing to AWS‑based environments as needed.
Platform Ownership & Reliability Own the end‑to‑end lifecycle of core platform components, including: Cloud infrastructure primitives Kubernetes clusters and supporting services Networking, ingress, and service discovery Ensure platforms are resilient by design, applying SRE principles such as capacity planning, fault isolation, graceful degradation, and clear failure modes.
This role is primarily focused on Microsoft Azure platforms for the Cloud Agnostic initiative.
However, due to current organizational priorities, the successful candidate is expected to actively contribute to AWS‑based platforms while Azure initiatives continue to scale.
Qualifications Basic
experience with a Bachelor Degree or at least 5 years of
experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred
experience with a Bachelor Degree or 7 or more relevant years of
experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of
experience with a PhD -Strong hands-on experience with:
Public Cloud platforms (Azure preferred, AWS)
Kubernetes at scale (AKS, EKS, or equivalent)