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SupportNinja

Technical Support Engineer | Seasonal | Remote

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Work Setup: Remote

Contract: Seasonal | Oct. 12 (or earlier) to Dec. 31, 2026

Schedule: 8:00 am to 5 pm EST | M - F

Equipment: BYOD

What does a day in the life of a Technical Support Engineer look like?

Ticket Triage & Intake

  • Serve as the first point of contact for incoming Engineering & Integration requests, including Engineering Service Requests and integration tickets; review, categorize, and triage independently.

  • Confirm what a requester actually needs versus what they initially ask for, gathering the detail and required fields needed before a request is routed onward.

  • Route tickets to the correct owner and approval path, and escalate appropriately when a request is out of scope or higher-risk.

  • Prioritize a live queue against documented SLAs; identify and flag at-risk tickets early.

Integration Request Handling

  • Work integration tickets across the three request types: new integration requests, integration access changes, and integration break/fix.

  • Confirm scope with the customer (what they want to integrate or change about an existing integration, or what is broken) and capture the required intake information.

  • Follow the defined approval workflow, ensuring the necessary reviews are completed before any change proceeds.

  • Follow up with customers through the ticketing system, keeping them informed and closing the loop.

Integration Troubleshooting & Break/Fix

  • Troubleshoot integration issues across Salesforce, MuleSoft, many SaaS platforms, and custom integrations, reproducing problems and isolating root cause.

  • Own break/fix integration tickets end to end, from first report through resolution, coordinating with engineers where deeper investigation or a code change is required.

  • Document findings and resolutions as knowledge articles so recurring issues can be resolved faster and more consistently over time.

  • Problem Management & Continuous Improvement

  • Look across tickets for recurring problems and patterns rather than treating each in isolation, and surface the underlying causes.

  • Partner with engineers to drive persistent issues to a permanent upstream fix, reducing repeat tickets and overall queue volume over time.

  • Identify manual or repetitive steps that are good candidates for automation, and propose improvements to intake, triage, and support processes.

Knowledge, Documentation & Reporting

  • Own and curate the knowledge base, runbooks, and SOPs that both the team and our AI tooling rely on, keeping them accurate and current.

  • Produce clear, consistent documentation and notes in Jira and Confluence, and follow written instructions and SOPs accurately.

  • Build and run queries and reports using SQL and Snowflake databases (or similar) to support triage, reporting, and problem analysis.

AI Enablement & Support Automation

  • Help build, tune, and maintain the AI-assisted automation that supports intake and triage, including the knowledge and prompts it relies on.

  • Review the output of AI tooling, correct it where it is wrong, and handle the exceptions and edge cases it cannot resolve.

  • Use AI chat tools (Claude, ChatGPT, Copilot, and similar) as a routine part of triage, documentation, research, and communication, and bring practical ideas for extending them into the team.

Customer Communication & Stakeholder Management

  • Work with internal customers to understand what they actually need versus what they first ask for, clarifying and negotiating scope so requests are well-formed and realistic.

  • Communicate professionally through the ticketing system: acknowledge requests, ask the right clarifying questions, follow up, and confirm resolution.

  • Manage expectations across requesters and stakeholders, giving clear status and proactively flagging when documented SLAs are at risk.

  • Approach every interaction with a customer-service mindset.

Judgment & Collaboration

  • Work independently and take ownership of the queue, while knowing when to ask for help or escalate.

  • Stay effective when working with ambiguity or partial information, gathering what is missing rather than stalling.

  • Collaborate with engineers, analysts, and stakeholders across the team and adjacent functions.

What are the required qualifications for a Technical Support Engineer?

  • 1- 2+ years experience in a technical support, service desk, operations, or coordination role, ideally including exposure to ticketing systems and cross-team troubleshooting.

  • Basic familiarity with integration and access concepts (e.g., OAuth, connected apps, permissions, least-privilege), or a clear willingness to learn them.

  • Prior experience in a help desk, service desk, or ticket-triage function.

  • Bachelor’s degree in Information Systems, Business, or a related field but equivalent experience considered in place of a degree.

  • Proficiency in Jira and Confluence.

  • Proficiency in Microsoft 365.

  • Familiarity with Salesforce (end user experience is acceptable)

  • Foundational troubleshooting ability across integrations (Salesforce, MuleSoft, many SaaS platforms, and custom integrations or any similar tool), or a demonstrated aptitude to learn them quickly.

  • Familiarity with SQL and Snowflake databases (or similar). Foundational exposure is sufficient at hire; you will use and deepen these skills in the role.

  • Demonstrated comfort using AI tools (Claude, ChatGPT, Copilot, or similar) in day-to-day work, and an interest in helping build and improve AI-assisted workflows.

  • Analytical mindset with the ability to spot recurring patterns and think about root cause, not just the ticket in front of you.

  • Strong attention to detail and a habit of clear, consistent documentation and note-taking.

  • Exposure to service management practices and SLA-driven support.

  • Ability to follow SOPs and instructions accurately.

  • Ability to review and triage tickets independently.

  • Ability to think independently and the judgment to know when to ask for help.

  • Comfort working with ambiguity and incomplete information.

  • Ability to communicate with customers through a ticketing system, follow up reliably, and meet documented SLAs.

  • Outstanding written communication skills and a customer-service orientation.

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