Applied Methods
~The MetaEngineeringSite Reliability Engineer

Site Reliability Engineer

Engineers in this role maintain the reliability and performance of AI infrastructure at scale, spending their days on incident response, automation, and observability across distributed systems that power AI workloads. They differ from software engineers by focusing on operational excellence and system resilience rather than feature development, and from DevOps roles by owning broader platform-level reliability goals. These teams typically sit within infrastructure or platform organizations, partnering closely with product engineering teams to ensure AI services remain fast, secure, and always available across multiple regions.

$ titles --canonical
Site Reliability EngineerSenior SREStaff SREProduction EngineerReliability EngineerInfrastructure SRE
Open Jobs116
Companies Hiring43
$02

Skills

What companies are looking for in this role.

$ skills --core

Designing and implementing monitoring, alerting, and observability systems across distributed infrastructure

95%

Managing incident response processes including root cause analysis and postmortem facilitation

95%

Automating operational tasks and building infrastructure-as-code deployment solutions

95%

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

90%

Troubleshooting and debugging production issues across complex system stacks

85%

Operating and maintaining stateful storage and database systems at scale

85%

Managing multi-cloud and multi-region infrastructure deployment and operations

85%

Building CI/CD pipelines and managing deployment processes for reliable releases

85%

Reducing Mean Time To Recovery (MTTR) through tooling, runbooks, and automation

80%

Optimizing system performance, architecture, and scaling for maximum uptime and minimal latency

80%

Participating in on-call rotations and maintaining incident escalation paths

80%

Capacity planning and resource optimization for infrastructure scaling

80%

Understanding Linux operating system internals, networking concepts, and system-level optimization

75%

Designing self-healing and resilient systems that respond automatically to failure scenarios

75%

Leading production readiness reviews and reliability standards enforcement across teams

75%
$ skills --emerging

Applying AI and machine learning techniques to improve incident detection and operational efficiency

70%

Building predictive maintenance and anomaly detection systems for infrastructure health

65%

Maintaining observability for machine learning model-serving workloads and inference infrastructure

60%

Developing agentic tooling and AI-driven automation for operational workflows

60%
$ skills --soft

Conducting thorough, blameless postmortems and driving preventative improvements

80%

Collaborating with product and engineering teams on architectural reliability improvements

80%

Building developer tooling and empowering developer productivity through infrastructure improvements

70%

Mentoring engineering teams and establishing reliability as a core organizational value

70%

Communicating complex technical concepts and driving technical decision-making across stakeholders

70%

Balancing long-term infrastructure strategic goals with immediate engineering needs

65%
$03

Technology

The tools and technologies that define this role.

$ tech --language
Gohigh
Pythonhigh
Javamoderate
$ tech --framework
CUDAlow
$ tech --platform
AWSvery high
Kubernetesvery high
Linuxvery high
Azurehigh
Dockerhigh
Google Cloud Platform (GCP)high
NVIDIA GPUmoderate
ELK Stacklow
MongoDB Atlaslow
$ tech --tool
Terraformvery high
Datadoghigh
Ansiblemoderate
ArgoCDmoderate
GitHub Actionsmoderate
Grafanamoderate
Helmmoderate
Jenkinsmoderate
Pagerdutymoderate
Prometheusmoderate
Pulumimoderate
Argo Workflowslow
Coralogixlow
Crossplanelow
Sentrylow
Wizlow
$ tech --concept
Distributed systemshigh
DNSmoderate
GitOpsmoderate
Machine Learning infrastructuremoderate
TCP/IPmoderate
TLS/SSLmoderate
$04

Open Jobs

116 open Site Reliability Engineer jobs across 43 companies.

DataHub4d
DevOps
Bengaluru, Karnataka, India·Engineering
Lambda5d
Senior Site Reliability Engineer - SDN
San Francisco Office (Fremont St)·Engineering
Together AI1w
Lead/Manager Site Reliability Engineering Team (Amsterdam)
Amsterdam·Engineering
StackBlitz1w
Staff Site Reliability Engineer
Remote·Engineering
Nebius1w
Staff Network Site Reliability Engineer
United States·Engineering
Tabs2w
Staff Site Reliability Engineer
New York City, NY·Engineering
Nebius2w
Senior Site Reliability Engineer (In-Office Required)
New York City, New York, United States·Engineering
Thinking Machines Lab2w
Reliability Engineer, Supercomputing
San Francisco·Engineering
Synthesia3w
Senior Site Reliability Engineer
US Remote·Engineering
MongoDB3w
Site Reliability Engineer (Senior or Staff)
Toronto·Engineering
MongoDB3w
Site Reliability Engineer (Senior or Staff)
Boston; Miami; New Jersey; New York City; Princeton; Raleigh; Washington DC·Engineering
Nabla3w
SRE / Backend Engineer
New York office·Engineering
Crusoe3w
Production Engineer (Kubernetes)
Dublin - IE·Engineering
Gong3w
Senior SRE Engineer
Tel Aviv·Engineering
Databricks4w
Staff Technical Solution Engineering
McLean, Virginia·Engineering
Databricks4w
Sr Technical Solutions Engineering
McLean, Virginia·Engineering
Nscale4w
Principal Site Reliability Engineer - AI Infrastructure Operations
Houston; New York; San Francisco; Seattle·Engineering
Gong1mo
Senior DevOps Engineer
Tel Aviv·Engineering
Nebius1mo
Senior Site Reliability Engineer (DevTools)
Amsterdam, Netherlands; Germany; Israel; London, United Kingdom; Remote - Europe; United Kingdom·Engineering
Crusoe1mo
Staff Network Engineer, Operations
San Francisco, CA - US·Engineering