Site Reliability Engineer

Jobtailor

New Hampshire

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Jobtailor in the United States is seeking an SRE/DevOps engineer to build reliable, scalable production systems using Node.js/JavaScript/TypeScript and Python. You will own features end-to-end and help reduce toil.

You\'ll work with AI-assisted tools, on-call, observability, and modern cloud CI/CD practices to improve customer experience and operational outcomes.

Qualifications

  • 2+ years of experience in SRE, software engineering, DevOps, or production engineering.
  • Hands-on coding with Node.js/JavaScript/TypeScript.
  • Python for scripting and automation.
  • Experience building tools, APIs or automations.
  • Familiarity with AI-assisted development workflows (GitHub Copilot).
  • Knowledge of monitoring, logging and observability concepts.
  • Distributed systems and API-based architectures.
  • SQL and data analysis for troubleshooting.
  • Exposure to AWS or Azure, CI/CD, and modern development practices.
  • Basic incident and production support understanding.

Responsibilities

  • Build software to improve reliability and scale production systems.
  • Develop production-quality code with Node.js/JavaScript/TypeScript and Python.
  • Use VS Code and AI tools to accelerate delivery.
  • Own features end-to-end from design to deployment.
  • Participate in on-call rotations and respond to incidents.
  • Analyze incidents to identify patterns and reduce alerts.
  • Improve observability with logging, metrics, dashboards, and alerts.
  • Build automations and lightweight tools to reduce manual work.
  • Identify opportunities to improve reliability and performance.
  • Understand how systems affect customer experience and business outcomes.

Skills

Node.js
JavaScript
TypeScript
Python
Automation
APIs
Observability concepts
Distributed systems
SQL
AWS
Azure
CI/CD
Incident management basics

Tools

GitHub Copilot
VS Code

Job description

Responsibilities
  • Build software solutions to improve reliability, reduce operational toil, and scale production systems—not just respond to issues.
  • Develop production-quality code using Node.js / JavaScript / TypeScript and Python/PowerShell , including testing and documentation.
  • Leverage modern development tooling such as VS Code and AI-assisted tools (e.g., GitHub Copilot) to accelerate delivery and problem-solving.
  • Independently own well-scoped features, fixes, or improvements end-to-end—from design through deployment and operational validation.
  • Participate in on-call rotations, respond to incidents, execute runbooks, and ensure clear communication and handoffs.
  • Analyze incidents and recurring issues to identify patterns, reduce alert noise, and implement durable fixes.
  • Implement and improve observability (logging, metrics, dashboards, alerts) for owned services.
  • Build automations, scripts, and lightweight tools to eliminate repetitive manual work and improve operational efficiency.
  • Identify and act on opportunities to improve system reliability, performance, and maintainability.
  • Develop an understanding of how systems impact customer experience and business outcomes.
Requirements
  • ~2 plus years of experience in SRE, software engineering, DevOps, or production engineering.
  • Strong hands-on coding skills with emphasis on: Node.js / JavaScript / TypeScript
  • Python for scripting and automation
  • Experience building tools, APIs, or automations to solve engineering or operational problems.
  • Familiarity with AI-assisted development workflows (e.g., GitHub Copilot, code generation tools) and interest in applying AI/LLMs to improve engineering productivity.
  • Foundational knowledge of: Monitoring, logging, and observability concepts
  • Distributed systems and API-based architectures
  • SQL and data analysis for troubleshooting
  • Exposure to cloud platforms (AWS or Azure), CI/CD pipelines, and modern development practices.
  • Basic understanding of incident management, problem management, and production support processes.
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