Ingeniero de Soporte de Aplicaciones
$60,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Not accepting applications on crossover.com at this time.

Description

The toughest tickets do not require another person following scripts. They require someone capable of navigating unclear context, misconfigured systems, conflicting evidence, upset customers, and AI-generated noise—then determining what is genuinely broken. This position is designed for the support engineer who thrives on the unresolved case: replicating the issue, analyzing logs, tracing API calls, examining JSON payloads, distinguishing a 401 from a 404 from a 429, and leveraging AI aggressively without accepting its output uncritically.

Traditional support teams still operate around queues, templates, handoffs, and "known issue" runbooks. We are constructing the inverse. Routine inquiries are increasingly managed by AI and L1 processes, meaning human expertise is reserved for the toughest problems. AI is not replacing you here. It is the instrument you command, validate, challenge, and confirm.

This position is not about copying AI responses, speculating quickly, waiting for direction, or escalating the instant the issue becomes unfamiliar. It is not suited for someone who masters one product and stalls when the next ticket involves a different stack. It is about delivering the correct answer in the minimum customer interactions the problem permits: reproducing before prescribing solutions, investigating across tickets, Slack channels, knowledge bases, logs, configurations, and tangible evidence before escalating, and composing customer replies clear enough to defuse the tension. The technical foundation is assumed: REST APIs, JSON, HTTP status codes, command line, and logs. That gains you entry. Sound judgment amid ambiguity is what makes you effective.

In this position, your responsibility is to own the issue until resolved or escalated properly, with diagnostic logic useful enough for the subsequent agent and the next AI workflow. You will thrive in this role if the ticket that defies explanation is the one you want most. You will dislike it if you require one product, one runbook, and external assistance to proceed. If that kind of challenge energizes you, please apply.

What you will be doing

  • AI-Assisted Customer Resolution: Escalated, ambiguous tickets resolved through deep, hands-on diagnosis combined with AI that you control, anchor in authentic documentation, and validate.

What you will NOT be doing

  • Spending two full months ramping up; you will be expected to gain proficiency on several products within the first month (we recognize this is demanding)
  • Depending on your managers for assistance; if you are not skilled at unblocking yourself, you will likely find this role challenging

Key responsibilities

  • Combine technical human judgment and AI capabilities to provide outstanding customer support, concentrating on complex issues that AI cannot yet completely resolve

Candidate requirements

  • 2+ years in a hands-on technical capacity such as technical support, customer support engineering, software engineering, QA, or sysadmin/DevOps. The job title does not need to say "support."
  • Proficient in making and reading REST API calls and JSON, understanding HTTP status codes (such as 401 vs 404 and 429 vs 403), and operating in a command line (CLI) and logs.
  • Practical experience using generative AI tools (such as ChatGPT or Claude) in your regular technical work.
  • Professional fluency in English, both written and spoken.
  • Available to work full-time from 1:00 PM – 10:00 PM UTC (8:00 AM – 5:00 PM US Eastern)

Nice to have

  • Experience supporting technical or business customers on enterprise software or B2B SaaS, not only internal IT.
  • API troubleshooting using tools like Postman or curl.
  • A history of troubleshooting across multiple unrelated products or technology stacks, not just one.
  • Developer-level depth: you can read code or trace an API call when the situation requires it.

Meet a successful candidate

Watch Interview
Xavier Villarroel
Xavier  |  L3 Customer Support Agent
Chile

Wish you could travel and work from anywhere? This L3 Customer Support Agent once had to drive a taxi to make ends meet, until he found a re...

Meet Xavier

Applying for a role? Here’s what to expect.

Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.

Chat-style
screening interview.
STEP 1

Chat-style
screening interview.

Cognitive 
aptitude test.
STEP 2

Cognitive 
aptitude test.

Prove real-world 
job skills.
STEP 3

Prove real-world 
job skills.

Interview with the hiring manager.
STEP 4

Interview with the hiring manager.

Pass
proctored test.
STEP 5

Pass
proctored test.

Accept job offer.
STEP 6

Accept job offer.

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