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Overnight Site Reliability Engineer Remote Jobs in Texas

BitDeer

Sr. SRE Platform Architect

Austin, TX · On-site +1

$56.50 - $75/hr

Position Overview Bitdeer is seeking a visionary and hands-on Cloud SRE Architect to lead the design, development, and evolution of our next-generation public cloud platform. This role will oversee ...

Hexion, Inc.

Reliability Engineer-US Remote (East)

Houston, TX · On-site +1

$97K - $123K/yr

Role Impact Remote / Multi-Site - North America (Travel Required) Alternate Titles: Network Reliability Engineer | Plant Reliability Engineer | Maintenance & Reliability Engineer The Reliability ...

BitDeer

K8 Site Reliability SME

Austin, TX · On-site +1

$56.50 - $75/hr

Strong SRE background: SLI/SLO frameworks, incident management, capacity planning * Experience with Prometheus, Grafana, and alerting at scale * Strong programming skills in Go or Python for operator ...

Astronomer

$125K - $130K/yr

Experience as a Site Reliability Engineer * Worked with Kubernetes Custom Resources * Depth of ... Remote At Astronomer, we value diversity. We are an equal opportunity employer: we do not ...

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Overnight Site Reliability Engineer Remote information

What is an overnight site reliability engineer?

An Overnight Site Reliability Engineer (SRE) is a professional responsible for ensuring the reliability, performance, and uptime of software systems during overnight or off-peak hours, typically working remotely. Their main tasks include monitoring system health, responding to incidents, troubleshooting outages, and implementing fixes to maintain service availability. SREs also work to automate processes, improve system resilience, and collaborate with other engineering teams to prevent future issues. Working overnight ensures that critical systems remain operational and issues are addressed promptly, even outside of standard business hours.

What skills and qualifications are needed to be an overnight site reliability engineer?

To thrive as an Overnight Site Reliability Engineer (Remote), you need strong expertise in systems administration, incident response, automation, and a solid background in computer science or related fields. Proficiency with monitoring tools (like Prometheus or Datadog), cloud platforms (such as AWS or GCP), scripting languages (Python, Bash), and certifications like AWS Certified SysOps Administrator are highly beneficial. Exceptional problem-solving skills, attention to detail, and effective remote communication help you excel in high-pressure overnight scenarios. These skills ensure system reliability, minimize downtime, and maintain seamless operations during critical off-hours.

What are the unique challenges and expectations for an overnight site reliability engineer working remotely?

As an Overnight Site Reliability Engineer working remotely, you'll often handle critical incidents that arise outside of standard business hours, so strong problem-solving skills and the ability to work independently are crucial. Communication is key, as you'll need to coordinate with team members in different time zones and document incidents clearly for seamless handoffs. You may also be tasked with proactive monitoring and maintenance activities during quieter periods, making self-motivation and attention to detail especially important. The role offers valuable exposure to high-impact issues and can accelerate your expertise in incident management and system reliability.

What is the difference between Overnight Site Reliability Engineer Remote vs Overnight DevOps Engineer Remote?

AspectOvernight Site Reliability Engineer RemoteOvernight DevOps Engineer Remote
Primary FocusEnsuring system reliability, uptime, and incident responseAutomating deployment, integration, and infrastructure management
Required SkillsMonitoring, incident management, scripting, system troubleshootingCI/CD pipelines, automation, cloud platforms, scripting
Work EnvironmentRemote, on-call shifts, collaboration with SRE teamsRemote, development and deployment focus, collaboration with development teams
CertificationsLinux, AWS, Google Cloud, or Azure certifications often preferredCloud certifications, Docker, Kubernetes, CI/CD tools

While both roles involve working remotely and require cloud and scripting skills, the Overnight Site Reliability Engineer Remote primarily focuses on maintaining system reliability and incident response, whereas the Overnight DevOps Engineer Remote emphasizes automation, deployment, and infrastructure management. Understanding these differences helps candidates align their skills with the right role.

What are the most commonly searched types of Site Reliability Engineer Remote jobs in Texas?

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Overnight Site Reliability Engineer Remote jobs near you

Site Reliability Engineer, AI & Agentic Systems

ServiceLink

Plano, TX • On-site, Remote

$40 - $45/hr

Temporary

Re-posted 18 days ago

ServiceLink rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

Overview
As our SRE charter continues to evolve, this role demands strong hands-on ownership of production reliability and troubleshooting, coupled with advanced capabilities in AI- and agentic-driven automation and performance engineering.
The Site Reliability Engineer will play a critical role in ensuring reliability, scalability, performance, and operational excellence of our platforms. The ideal candidate will leverage Azure-native AI services and agentic systems to reduce toil, improve incident response, and enable intelligent operations-while also driving performance testing practices to validate system resilience under load.
**This is a hybrid role, located at our Plano, TX office. Candidates must be willing and able to work in-office 3 days per week in Plano, TX.
Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future
A DAY IN THE LIFE
In this role, you will...
  • Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
  • Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
  • Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
  • Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
  • Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
  • Integrate AI agents with Azure monitoring stack, CI/CD tooling, and incident management platforms
  • Contribute to evolving SRE standards, tooling, operational processes, and knowledge base

Responsibilities
Reliability Engineering & Production Ownership
  • Own end-to-end reliability of large-scale, Azure-hosted production systems, ensuring high availability, fault tolerance, and graceful degradation
  • Lead hands-on incident troubleshooting, root cause analysis (RCA), and post-incident reviews with actionable follow-ups
  • Define, measure, and enforce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets aligned with business outcomes
  • Drive proactive reliability improvements based on operational insights, failure mode analysis, and capacity planning
  • Participate in on-call rotations and take real-time ownership during production incidents

Platform & Automation Engineering
  • Build and operate resilient, scalable services on Microsoft Azure (AKS, App Services, Functions, Event Hubs, etc.)
  • Design and maintain comprehensive observability platforms using Prometheus for metrics, Loki for log aggregation, Tempo for distributed tracing, and Grafana for dashboarding and alerting
  • Create automation to eliminate manual operational tasks and reduce Mean Time to Recovery (MTTR)
  • Implement self-healing mechanisms, automated remediation workflows, and runbook automation
  • Manage and optimize API lifecycle and traffic management using Gravitee API Gateway
  • Design and implement durable, fault-tolerant workflows and microservice orchestration patterns using Temporal
  • Administer and tune PostgreSQL databases for reliability, performance, and high availability
  • Partner with application and platform teams to improve service operability, deployment safety, and change management

Performance Testing & Load Engineering
  • Design, develop, and execute performance testing strategies for distributed systems and microservices, including load testing, stress testing, soak testing, and capacity planning
  • Build and maintain performance test scripts and virtual user scenarios using Micro Focus LoadRunner and VuGen (Virtual User Generator)
  • Analyze performance test results to identify bottlenecks, regressions, and scalability limits; produce clear reports with actionable recommendations
  • Integrate performance testing into CI/CD pipelines to enable continuous performance validation and shift-left testing practices
  • Establish and monitor performance baselines, benchmarks, and SLAs across critical service endpoints and user journeys
  • Collaborate with development and architecture teams to resolve performance issues and optimize system throughput, latency, and resource utilization

AI / Agentic Engineering (Azure Focus)
  • Design and implement AI-driven and agentic systems to enhance operational workflows and intelligent decision-making
  • Build intelligent automation for operational use cases, including:
    • Incident triage, enrichment, and automated escalation
    • Alert correlation, deduplication, and noise reduction
    • Automated diagnosis and remediation of recurring failures
  • Leverage Azure AI services (Azure OpenAI, Cognitive Services, Azure ML) for operational intelligence and predictive insights
  • Integrate AI agents with Azure monitoring stack, CI/CD tooling, and incident management platforms
  • Ensure safe, reliable, and observable operation of AI-powered systems in production, including guardrails, fallback mechanisms, and audit trails

Collaboration & Technical Leadership
  • Act as a reliability, performance, and automation champion across engineering teams
  • Mentor junior SREs and influence adoption of best practices in reliability, observability, and performance engineering
  • Contribute to evolving SRE standards, tooling, operational processes, and knowledge base
  • Participate in architecture reviews and provide guidance on non-functional requirements (reliability, scalability, performance)

Qualifications
Core SRE Skills
  • 5+ years of experience in Site Reliability Engineering, DevOps, or Production Engineering roles
  • Strong hands-on experience in production troubleshooting of distributed systems at scale
  • Solid understanding of Linux internals, networking (TCP/IP, DNS, HTTP, TLS), and system performance tuning
  • Deep hands-on experience with Microsoft Azure (compute, networking, storage, managed services, AKS)
  • Strong knowledge of Kubernetes, container orchestration, Helm charts, and microservices architectures
  • Proficiency in one or more programming languages: Python, Go, Java, or equivalent
  • Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and Infrastructure as Code (Terraform, ARM Templates, Bicep)

Observability & Monitoring
  • Hands-on experience building and operating observability stacks using Prometheus, Grafana, Loki, and Tempo
  • Experience with alerting strategies, SLI/SLO-based monitoring, and on-call incident management

Performance Testing & Load Engineering
  • Proven experience designing and executing performance and load testing for large-scale distributed applications
  • Hands-on proficiency with Micro Focus LoadRunner and VuGen for scripting virtual user scenarios, parameterization, correlation, and result analysis
  • Strong understanding of performance testing methodologies: load testing, stress testing, endurance/soak testing, spike testing, and capacity planning
  • Ability to analyze performance metrics (throughput, response time, error rate, resource utilization) and translate findings into engineering actions
  • Experience integrating performance tests into automated CI/CD pipelines

Platform & Middleware
  • Experience with Gravitee or equivalent API gateway platforms for traffic management, rate limiting, and API lifecycle governance
  • Hands-on experience with Temporal for workflow orchestration, durable execution, and distributed task management
  • Strong PostgreSQL administration skills, including query optimization, replication, backup/recovery, and performance tuning

AI / Agentic Systems
  • Hands-on experience building or integrating AI-powered automation in production environments
  • Experience with agent-based systems, LLM-powered workflows, Retrieval-Augmented Generation (RAG), or intelligent assistants
  • Familiarity with Azure-based AI and ML services (Azure OpenAI, Cognitive Services, Azure ML)
  • Understanding of reliability, safety, observability, and operational challenges of AI systems in production

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