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 elevate 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.
- 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.
- 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 elevate.
- 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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