Support Engineer, CTO Office

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in Sítio Israel, Ibiúna, São Paulo, BRA
Remote
Mid level
Big Data • Security • Cybersecurity
I can't believe it's not SIEM
The Role
Build and run an engineering-led support function in the CTO Office: triage and resolve complex SOC, pipeline, and cloud integration issues; create AI agents, skills, and docs to automate recurring problems; track root causes and drive engineering fixes; partner with TAM, Sales, product, and customers during escalations.
Summary Generated by Built In
Description

Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations by improving detection, unlocking the value of security data, and reducing cost and complexity. With HQs in New York and TLV, we are looking for people who want to help shape the future of security operations.

This role sits inside Vega's CTO Office, our elite technical task force closest to customers and product.

ABOUT THE ROLE

This is the role for the person who thinks "support" has been done wrong almost everywhere: the vanished ticket, the three-day canned reply, the escalation path to the people who actually know things. You decided that if you ran support, it would look nothing like that.

At Vega, support is done by engineers who know things. Instead of routing tickets to someone else, you dig in, solve the real problem, and build the agents, skills, and docs that resolve the next hundred issues before a human ever sees them.

You'll build a support function powered by AI agents and skills, where one person's output looks like a whole team's. You own the bar, set what "great" looks like, and stay in the trenches on the hardest problems yourself. The benchmark: other security companies should measure their support against Vega's.

WHAT YOU WILL DO

  • Own great support at Vega, quality, depth, then speed, and design the process and workflows it all scales on.
  • Build AI agents and skills that diagnose and resolve issues across log pipelines, cloud integrations, detections, and permissions, automating the queue instead of staffing it.
  • Take the hard tickets yourself, then turn each one into an agent, skill, or doc so it never costs us twice.
  • Track issues to the root cause and drive them to resolution, surfacing well-scoped fixes to engineering rather than just logging them.
  • Instrument the queue: know where customers get stuck and where we're slow, then kill the root cause.
  • Partner with customer security teams during escalations, and with Vega TAM, Sales, product, and engineering to protect accounts and turn support signals into product.
Requirements

WHAT YOU WILL BRING

  • 4+ years in a technical support or support function, leading or anchoring one, or a strong senior IC ready to build one from scratch.
  • Strong cloud fundamentals (AWS, Azure, and/or GCP) and scripting in Python and/or Bash, with the confidence to ship a real fix.
  • Comfortable troubleshooting distributed systems, data pipelines, and query performance.
  • Fluent with the latest AI models and tools and eager to build agents and skills with them. This role should use AI to ship far more than a traditional support team could.
  • Ego-free, relentlessly curious, and equally fluent with engineers and executives.
  • Startup or high-growth experience: you move fast and make calls without a perfect playbook.

NICE TO HAVE

  • Background in a SOC, Security Engineering, Incident Response, or Threat Hunting role.
  • Hands-on with SIEM or observability platforms (Splunk, Elastic/ELK, Microsoft Sentinel, or equivalent), used to investigate, hunt, and troubleshoot real incidents.
  • Experience implementing or supporting SIEMs at scale.
  • Familiarity with KQL (Kusto Query Language).
  • Experience building and running AI agents and skills at production, enterprise-grade scale.

Skills Required

  • 4+ years in a technical support or support function, leading or anchoring one
  • Strong cloud fundamentals (AWS, Azure, and/or GCP)
  • Scripting in Python and/or Bash with ability to ship fixes
  • Comfortable troubleshooting distributed systems, data pipelines, and query performance
  • Fluent with the latest AI models and tools and eager to build agents and skills
  • Startup or high-growth experience (ability to move fast and make decisions without perfect playbook)
  • Ego-free, relentlessly curious, and effective communicating with engineers and executives
  • Background in SOC, Security Engineering, Incident Response, or Threat Hunting
  • Hands-on with SIEM or observability platforms (Splunk, Elastic/ELK, Microsoft Sentinel, or equivalent)
  • Experience implementing or supporting SIEMs at scale
  • Familiarity with KQL (Kusto Query Language)
  • Experience building and running AI agents and skills at production, enterprise-grade scale

Vega (vega.io) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vega (vega.io) and has not been reviewed or approved by Vega (vega.io).

  • Fair & Transparent Compensation Publicly available information indicates the company is early-stage and well-funded, which can support the ability to offer competitive packages, but no direct pay-satisfaction content is provided.
  • Equity Value & Accessibility The data repeatedly frames compensation at this stage as a mix of cash and equity/tokens, implying equity could be a meaningful component, though terms and employee outcomes are not disclosed.

Vega (vega.io) Insights

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The Company
HQ: New York, New York
134 Employees
Year Founded: 2024

What We Do

We're redefining the boundaries of Security Operations by eliminating the limits and compromises of the past. Founded in 2024, Vega is on a mission to help organizations harness the power of all of their data. Wherever it is. Whatever it is. Without any of the taxes that have plagued SIEM and Data Lakes for the past 20 years. Backed by Cyberstarts, Accel, Redpoint and CRV, Vega offers a lightweight Security Analytics fabric that introduces a new, AI-native, approach to interacting with security data wherever it sits, giving analysts complete visibility and detection coverage, without a single migration, replacement or compromise.

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