Technical Support Engineer

Evlo AI; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Evlo AI is seeking a Technical Support Engineer in Dallas to act as the escalation layer between front-line support and product engineering. You will tackle the most challenging issues in production—APIs, authentication flows, data pipelines, and infrastructure configuration.

The role emphasizes rapid, root-cause issue resolution to drive renewals and product quality, with cross-functional collaboration and formal on-call responsibilities.

Qualifications

• 3-5 years in technical support, support engineering, or similar role in SaaS or infrastructure.
• Strong debugging skills across HTTP, APIs, DNS, TLS, and web architecture.
• Working knowledge of SQL, Linux command line, and Python or Bash.
• Experience with ticketing and observability tools (Zendesk, Jira, Datadog, PagerDuty).
• Excellent written communication—able to explain complex issues to engineers and non-technical stakeholders.
• Bachelor's degree in Computer Science or equivalent.
• Bonus: Kubernetes, cloud platforms (AWS/GCP), or on-call rotations.

Responsibilities

• Own and resolve escalated technical tickets spanning REST APIs, webhooks, OAuth/SSO, and third-party integrations.
• Debug customer issues using logs, network traces (tcpdump/Wireshark), and query data in SQL or via internal tooling.
• Write detailed bug reproductions and escalation reports that engineering can act on directly.
• Build and maintain internal runbooks, troubleshooting guides, and knowledge-base articles.
• Collaborate with product and engineering to drive fixes, communicate workarounds, and close the loop with customers.
• Participate in a rotating on-call schedule for critical production escalations.
• Identify recurring issue patterns and advocate for product improvements with data.

Skills

HTTP APIs debugging

DNS/TLS

SQL

Linux CLI

Python or Bash

Observability tools

Communication

Bachelor's degree

Education

Bachelor's degree in Computer Science or equivalent

Tools

Zendesk

Jira

Datadog

PagerDuty

Job description

About The Role

The Technical Support Engineer is the escalation layer between front-line support and product engineering, solving the hardest technical issues customers hit in production environments — API integrations, authentication flows, data pipelines, and infrastructure configuration.

The Technical Support Engineer is the escalation layer between front-line support and product engineering, solving the hardest technical issues customers hit in production environments — API integrations, authentication flows, data pipelines, and infrastructure configuration. The role matters because retention depends on it: complex enterprise issues resolved quickly and root-caused properly directly drive renewals, expansion, and product quality.

Key Responsibilities

• Own and resolve escalated technical tickets spanning REST APIs, webhooks, OAuth/SSO, and third-party integrations
• Debug customer issues using logs, network traces (tcpdump/Wireshark), and query data in SQL or via internal tooling
• Write detailed bug reproductions and escalation reports that engineering can act on directly
• Build and maintain internal runbooks, troubleshooting guides, and knowledge-base articles
• Collaborate with product and engineering to drive fixes, communicate workarounds, and close the loop with customers
• Participate in a rotating on-call schedule for critical production escalations
• Identify recurring issue patterns and advocate for product improvements with data

What We Are Looking For

• 3-5 years in technical support, support engineering, or a similar role at a SaaS or infrastructure company
• Strong debugging skills across HTTP, APIs, DNS, TLS, and common web architecture
• Working knowledge of SQL, Linux command line, and at least one scripting language (Python or Bash)
• Experience with ticketing and observability tools (Zendesk, Jira, Datadog, PagerDuty, or similar)
• Excellent written communication — able to explain complex technical issues to both engineers and non-technical stakeholders
• Bachelor's degree in Computer Science or equivalent practical experience
• Bonus: Experience with Kubernetes, cloud platforms (AWS/GCP), or customer-facing on-call rotations