Security Engineer (Early Career) (Ingeniero/a de Seguridad - Carrera Temprana) - Mexico City (Remote)
EngineeringSecurity Engineer
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Quick Summary
Key Responsibilities
catch hallucinated attributions, noisy alerts and conclusions the underlying data doesn't support,
Technical Tools
EngineeringSecurity Engineer
Responsibilities
~1 min read- →Review how teams use LLMs, coding agents and AI tooling (Claude, agentic browsers, internal inference gateways) and help define guardrails that protect data without killing adoption
- →Operate our LLM-based investigation agent on the SIEM: catch hallucinated attributions, noisy alerts and conclusions the underlying data doesn't support, and tune its instructions before they reach production
- →Develop the core skill of this role: knowing when to trust an AI-generated result and when to verify it by hand
- →Help build our view of prompt injection, data exfiltration through AI tools, and model/agent permissions as first-class risks
- Triage findings from AWS GuardDuty, GCP Security Command Center, IAM and network configuration reviews
- Run configuration and posture checks, and drive fixes with the owning teams instead of just filing tickets
- Contribute to our large-scale GCP project inventory and cleanup, and keep the central findings tracker honest
- Learn Auth0, Cloudflare and Google Workspace security controls as they apply to identity, edge and SaaS
- Review internal tools, scripts and pull requests for the classics: hardcoded credentials, unsafe input handling, over-broad permissions, secrets in pipelines
- Own SonarQube and dependency-scanning results for internal repositories: prioritize CVEs, follow up with developers, close the loop
- Review CI/CD changes that touch security-sensitive configuration (secrets, deployment access, IAM bindings)
- Help push secure-by-default patterns into how engineers actually work, including the code they generate with AI
- Write and refine Splunk queries to investigate alerts from identity/SSO, cloud, endpoint, email and network sources
- Maintain detection rules and dashboards; hunt down false positives and false negatives
- Reconstruct user activity timelines across systems and document findings with evidence, not just conclusions
- Monitor the EDR console, investigate suspicious endpoints, and execute containment (host isolation, quarantine) with a senior engineer
- Triage phishing reports, analyze URLs and attachments in sandbox and threat-intel tools, maintain email and web filtering policies, and run phishing simulations
- Escalate fast and clearly when a finding exceeds what you can close on your own, and work incidents through incident.io
- 1–2 years in security, IT, software engineering or a related technical role. Internships, CTFs, bug bounties, open-source contributions and serious personal projects all count.
- Working knowledge of at least one of AWS or GCP: you know what IAM, security groups/VPC firewall rules, and a service account are, and you want to go much deeper
- Comfort in the command line (bash), reading JSON and logs, and reading code in at least one common language (Python, JavaScript, Go) well enough to spot an obvious security issue
- Basic familiarity with a log query language (SPL, KQL or similar), or the drive to become fluent quickly
- Conceptual understanding of identity and authentication: OAuth, SSO, MFA, service-to-service auth
- Hands-on experience using generative AI tools in a technical context, and a healthy skepticism about their output
- A verify-before-you-conclude instinct: you never take a tool's, a vendor's or an AI agent's answer at face value without evidence
- Strong written communication in Spanish and English. Much of this job is explaining findings clearly to people who aren't security engineers.
- Comfort with ambiguity and pace: priorities change, the stack evolves, and you'd rather learn on the job than wait for a course
Nice to Have
~1 min read- Prior exposure to a SIEM, EDR console (CrowdStrike, SentinelOne, Defender) or email/web security platform
- Python or JavaScript for scripting and automation
- Any experience with SAST/dependency scanning tooling, secrets management or CI/CD security
- Experience prompting or building with LLM APIs, agents or MCP tooling
- Entry-level certifications (Security+, AWS Cloud Practitioner, Google Cloud Digital Leader / Associate Cloud Engineer, or similar)
- Portuguese
- Exposure to the full security surface of a regulated fintech in your first year: cloud, code, detection, response, compliance and AI, rather than a single queue
- A senior team that pairs with you on investigations and reviews, and expects you to push back when the evidence doesn't hold
- Direct work on problems most security teams haven't solved yet: securing agentic AI in production
- A modern stack: AWS, GCP, Splunk, Auth0, Cloudflare, SonarQube, incident.io, Claude and internal AI tooling
- Budget and time for certifications, conferences and the hacker community
- Fast, transparent hiring: application review, a technical conversation about real scenarios (no gotcha puzzles), a practical exercise you can do in a few hours, and a conversation with the team
Send us something you've built, broken or written: a repo, a CTF write-up, a bug report, a blog post, a detection rule. We care far more about how you think and how you learn than about the exact list of tools on your CV.
This is a remote-first role: you'll work from home day to day. You'll ramp up in person with the team, and come together in person for team moments, events and customer visits through the year.
- A high talent-density team driven to make an impact in Latin America — low ego, high ownership.
- Competitive salary and stock options (ESOP) from day one.
- An annual learning budget and accelerated development paths.
- English is our working language, with Spanish and Portuguese every day.
- Clarity — Open and direct communication: we say what we mean and give context where it matters.
- Simplicity — If it can be simpler, it should be.
- Ownership — We own everything we do, end to end. When something needs to happen, we don't wait.
- Pride — We hold ourselves to a high standard, and it shows in what we deliver.
- ABC (Always Be Changing) — We adapt fast, embrace change, and keep learning.
- Inclusivity — Diverse ideas, stories and perspectives build a better Clara.
If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.
Location & Eligibility
Where is the job
Mexico City, Mexico
On-site at the office
Who can apply
MX
Listing Details
- Posted
- September 11, 2026
- First seen
- September 12, 2026
- Last seen
- October 13, 2026
Posting Health
- Days active
- 31
- Repost count
- 0
- Trust Level
- 23%
- Scored at
- October 13, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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