Site Reliability Engineer

Designing and operating multi-cloud infrastructure across multiple cloud providers with infrastructure-as-code principles

Building and maintaining comprehensive monitoring, logging, and alerting systems for production infrastructure

Managing and scaling Kubernetes clusters including lifecycle management, upgrades, networking, and resource orchestration

Leading incident response processes, conducting root cause analysis, and driving postmortem-driven improvements

Defining, implementing, and evolving Service Level Objectives (SLOs) and Service Level Indicators (SLIs)

Automating operational tasks and reducing toil through infrastructure automation and tooling development

Participating in on-call rotations and maintaining production system availability during operational emergencies

Designing and implementing CI/CD pipelines and deployment infrastructure for reliable application delivery

Operating containerized workloads and managing container runtimes in production environments

Implementing GitOps workflows and managing infrastructure through declarative configuration

Implementing security best practices including identity and access management, least-privilege principles, and compliance standards

Operating distributed databases and data systems at scale including configuration, performance tuning, and capacity planning

Managing disaster recovery strategies, backup procedures, and implementing recovery time objectives

Designing network infrastructure including load balancing, service mesh, and DNS management at scale

Conducting performance analysis and reliability testing of large-scale distributed systems

Optimizing infrastructure costs while maintaining reliability and performance standards

Implementing data pipeline reliability and managing high-throughput ingestion systems

Designing and managing multi-tenant isolation strategies for shared infrastructure platforms

Analyzing measurement data and system telemetry to support engineering decision-making

Managing GPU and accelerated computing infrastructure for high-performance workloads

Implementing observability for AI and machine learning workloads including training job reliability

Collaborating with software engineering teams to embed reliability principles into system design and deployment processes

Writing and maintaining runbooks, operational procedures, and documentation for production systems

Setting operational standards and quality expectations across engineering organizations

Evaluating, negotiating, and managing vendor relationships for third-party services and migrations