Infrastructure / SRE Engineer
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Job Description
Infrastructure/SRE Engineer building cloud, Kubernetes, CI/CD, and observability foundations. Establishing reliability practices for customers running 24/7 mission-critical operations.
Responsibilities:
- Build and own cloud landing zones, infrastructure-as-code, and Kubernetes foundations
- Own CI/CD as a fast, safe, and repeatable delivery product
- Automate toil and codify operational knowledge into tooling and runbooks
- Establish observability through metrics, logs, traces, SLOs, and alerting
- Set up and mature on-call and incident response
- Drive reliability improvements from postmortems
- Support deployment into cloud and customer-managed environments
- Manage version and configuration drift
- Optimize cost and capacity, including for AI workloads
- Work with product teams and customers to validate results and outcomes
- Prioritize work by value and prove value with the smallest useful slice
- Instrument and measure impact so evidence drives delivery decisions
- Build automated QA, tests, quality gates, and regression checks into the delivery pipeline
- Establish on-call and reliability culture and mentor the growing team
- Foster technical excellence, customer obsession, and pragmatic shipping
- Partner with product teams across the portfolio that own their roadmaps
- Report to the Head of AI Platform Engineering as part of a small, senior founding team
Requirements:
- Demonstrated experience building and running production cloud infrastructure and owning its reliability
- Experience treating operations as engineering rather than ticket-driven operations
- Experience carrying real on-call responsibility for systems built
- Clear communication with engineers, product partners, and customers
- Outcome- and value-focused, pragmatic decision-making
- Kubernetes and infrastructure-as-code in production are bonus points
- Azure landing zones, networking, and identity are bonus points
- Experience shipping software into customer-managed environments is a bonus
- Experience delivering into regulated or restricted environments is a bonus
- Cost optimization for GPUs or other expensive compute is a bonus
- Comfortable with Python, C#/.NET, or Go for tooling and automation is a bonus
- System and platform design and trade-off judgment are bonus points
- Enterprise-scale software and reliability, security, and integration experience are bonus points
- Productive use of AI coding assistants and judgment in supervising their output are bonus points
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