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Observability Site Reliability Engineer Jobs in Massachusetts

Sr. Manager, SRE

Webster, MA · On-site

$140K - $185K/yr

Drives operational excellence through automation, observability, and continuous improvement. Serves ... Defines SRE vision, strategy, and operating model. * Establishes SLOs, SLIs, SLAs, and error ...

Site Reliability Engineer

Waltham, MA · On-site

$61.50 - $81.75/hr

You'll be the second SRE on a small, high-trust team, working directly with our lead, with real ... Familiarity with systemd service management and observability practices on Linux * Familiarity with ...

Engineer III (Site Reliability)

Webster, MA · On-site

$59 - $78.50/hr

... (SRE) to enhance their On-Prem and Cloud platform strategy. The role focuses on ensuring the ... implement observability best practices. Responsibilities : • You will set standards for the ...

Site Reliability Engineer

Waltham, MA · On-site

$61.50 - $81.75/hr

You'll be the second SRE on a small, high-trust team, working directly with our lead, with real ... Familiarity with systemd service management and observability practices on Linux * Familiarity with ...

Site Reliability Engineer

Waltham, MA · On-site

$61.50 - $81.75/hr

You'll be the second SRE on a small, high-trust team, working directly with our lead, with real ... Familiarity with systemd service management and observability practices on Linux * Familiarity with ...

Xometry is seeking a Site Reliability Engineer II to join our Site Reliability Engineering (SRE) ... Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.

Observability is a first-class capability -- engineers across the company have the dashboards, traces, and alerts they need to understand system behavior without asking SRE. * Deployment pipelines ...

The Site Reliability Engineer (SRE) is a critical part of our Mapfre USA On-Prem and Cloud platform ... This role will drive the adoption of observability best practices and develop automations for ...

The Site Reliability Engineer (SRE) is a critical part of our Mapfre USA On-Prem and Cloud platform ... This role will drive the adoption of observability best practices and develop automations for ...

Xometry is seeking a Site Reliability Engineer II to join our Site Reliability Engineering (SRE) ... Develop, configure, and maintain observability and monitoring tools (Coralogix, Sentry, etc.

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Observability Site Reliability Engineer information

What is the difference between Observability Site Reliability Engineer vs Monitoring Engineer?

AspectObservability Site Reliability EngineerMonitoring Engineer
FocusEnsuring system reliability through observability, automation, and incident responseImplementing and managing monitoring tools and dashboards
SkillsCloud platforms, scripting, incident management, observability toolsMonitoring tools, alerting systems, data analysis
Work EnvironmentDevOps teams, cloud infrastructure, large-scale systemsOperations teams, infrastructure monitoring

While both roles involve system health, the Observability Site Reliability Engineer focuses on comprehensive system reliability using observability practices, whereas Monitoring Engineers primarily manage monitoring tools and alerts. The SRE role emphasizes automation, incident response, and system resilience, making it broader in scope.

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For Observability Site Reliability Engineer jobs in Massachusetts, the most frequently searched job titles are:

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What cities in Massachusetts are hiring for Observability Site Reliability Engineer jobs?

Cities in Massachusetts with the most Observability Site Reliability Engineer job openings:

Site Reliability Engineering(SRE) - Remote

Boston, MA • Remote

$30 - $80/hr

Full-time

Posted 13 days ago


Job description

Developer & Infrastructure Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Developer & Infrastructure Experts to evaluate AI-powered workflows across software development, cloud infrastructure, DevOps, SRE, and platform engineering. You will test AI-generated commands, configurations, and workflows and provide practical feedback based on real-world engineering standards.

No prior AI experience is required—your technical expertise and infrastructure knowledge are what matter most.

Key Responsibilities
  • Test and validate AI-assisted workflows across DevOps, cloud, infrastructure, and platform engineering.
  • Evaluate AI-generated commands, configurations, scripts, and deployment workflows for accuracy and reliability.
  • Work with AWS, Azure, GCP, Kubernetes, Docker, Terraform, and CI/CD environments.
  • Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA.
  • Assess AI agents and workplace connectors across tools such as Slack, Google Drive, and Microsoft 365.
  • Identify technical errors, security or reliability concerns, and workflow gaps.
  • Document findings and provide clear, actionable feedback.
  • Recommend improvements based on real-world engineering practices and industry standards.
  • Collaborate remotely with project stakeholders through written evaluations and virtual discussions.
Required Skills
  • Azure DevOps
  • Cloud Infrastructure
  • Site Reliability Engineering (SRE)
  • Platform Engineering
  • AWS / Azure / GCP
  • Kubernetes / Docker
  • Terraform
  • CI/CD
  • GitHub / GitLab / JIRA
  • Observability
  • ChatGPT Work
  • Claude Code
  • Claude Cowork
  • AI Agents
  • Workplace Connectors
Preferred Qualifications
  • Professional experience in software engineering, DevOps, SRE, cloud, platform, or infrastructure engineering.
  • Hands-on experience with major cloud platforms, Kubernetes, Docker, Terraform, CI/CD, and observability tools.
  • Experience with developer workflow and project management platforms such as GitHub, GitLab, Azure DevOps, and JIRA.
  • Experience using AI agents such as ChatGPT, Claude Code, Claude Cowork, or Codex in development or infrastructure workflows.
  • Strong ability to evaluate technical processes and provide actionable feedback.
  • Excellent written and verbal communication skills.
  • Experience with workplace connectors, automation, or AI-powered infrastructure workflows is a plus.