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Remote Jira Developer Jobs in Massachusetts (NOW HIRING)

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and ...

YO AI Labs

DevOps Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and ...

YO AI Labs

Infrastructure Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and ...

YO AI Labs

Infrastructure Expert - Remote

Boston, MA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and ...

INFINIDAT

Senior Solutions Engineer

Waltham, MA · On-site +1

$60.25 - $77.75/hr

Maintain the Jira triage queue: file, classify, and prioritize incoming exceptions and customer ... remote-first team with frequent async collaboration Preferred * Direct Infinidat InfiniBox ...

SmithRx

Business Systems Analyst

Boston, MA · On-site +1

... scaling Jira service desks, engineering backlogs, or similar ticketing workflows. * Experience ... S. Remote Zone A includes the following locations: * San Francisco Bay Area - California * Metro ...

Redhat

Software Engineer

Lowell, MA · On-site +1

$96K - $154K/yr

Scrum, JIRA) * Experience with Python, Bash, or similar scripting languages * Experience with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Senior Software Engineer

Lowell, MA · On-site +1

$118K - $195K/yr

Scrum, JIRA) * Experience with Python, Bash, or similar scripting languages * Experience with ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsJira Developer JobsRemote Jira Developer JobsRemote Jira Developer Jobs in Massachusetts

Remote Jira Developer information

What is the difference between Remote Jira Developer vs Remote Jira Administrator?

AspectRemote Jira DeveloperRemote Jira Administrator
Primary RoleDevelops and customizes Jira workflows, plugins, and integrationsManages Jira system configurations, user permissions, and maintenance
Required SkillsJira API, scripting, plugin developmentJira administration, user management, system troubleshooting
CertificationsJira Software Administrator, Atlassian certificationsJira System Administrator certifications
Work EnvironmentCollaborates with developers and product teamsWorks with IT and support teams for system upkeep

While both roles require Atlassian certifications and familiarity with Jira, the Remote Jira Developer focuses on customizing and developing Jira features, whereas the Remote Jira Administrator handles system management and user support. Understanding these differences helps employers and candidates align expectations and skills for each position.

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For Remote Jira Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Jira Developer jobs in Massachusetts look for?

The top searched job categories for Remote Jira Developer jobs in Massachusetts are:

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Remote Jira Developer jobs near you

Developer & Infrastructure Expert - Remote

YO AI Labs

Boston, MA • Remote

$30 - $80/hr

Full-time

Posted 5 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.