Senior Security Engineer

EarnIn

Senior Security Engineer leading security engineering efforts in AI-driven environment at EarnIn. Collaborate cross-functionally to implement security measures and mentor teams.

Posted 4/29/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudDNSDockerEC2FirewallsKubernetesPythonTCP/IPTerraform

About the role

Key responsibilities & impact

Monitor active threats, perform in-depth analysis of AI-related attack vectors (e.g., prompt injection, model poisoning), and lead the development of comprehensive remediation plans.
Monitor, audit, detect, and remediate critical security exposures across our cloud infrastructure.
Respond to security incidents and manage the end-to-end incident response lifecycle.
Implement advanced automation and AI agents for security tasks, including detection rule testing, auditing, metrics collection, and reporting to improve operational efficiency.
Work cross-functionally with engineering teams to architect secure, scalable solutions, including implementing security guardrails and governance for AI/ML workloads, and evaluating third-party security tools.
Serve as a recognized security expert in multiple specialty areas and maintain a strong awareness of the external threat landscape.
Drive the implementation of security, technical, and process improvements across the organization.

Requirements

What you’ll need

At least 4+ years of industry experience in security engineering or a related field.
Strong hands-on experience with AWS services (VPC, EC2, S3, EKS) and associated networking, IAM, and security controls in production environments.
Solid understanding of Docker and containerization, including building, optimizing, scanning, and securing container images and workflows.
Strong knowledge of Kubernetes architecture and experience operating or securing platforms like EKS in production.
Proficiency with Terraform for provisioning and managing cloud infrastructure in a repeatable, scalable manner.
Proficiency in at least one scripting or programming language, with a strong preference for Python to support security tooling and automation.
Foundational knowledge of general networking concepts, including TCP/IP, DNS, routing, firewalls, and load balancing across cloud and containerized environments.
In-depth knowledge of Threat/Intrusion Detection, Vulnerability Management, and specialized expertise in securing AI agents, LLMs, and Model Context Protocol (MCP) environments.
MS or Bachelor’s degree in Computer Science or an equivalent field, or equivalent experience.
Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)
Familiarity with compliance standards such as ISO 27001, SOC2, NIST, SOX, and PCI is a plus.
Experience with IAM tools (Okta, OneLogin), Zero Trust architectures, and Data Loss Prevention (DLP) solutions is a plus.
Experience with access control and PII management is a plus.
Previous experience in the financial services industry is highly preferred and is a plus.
Experience with security orchestration, automation, and response (SOAR) technologies is a plus

Benefits

Comp & perks

healthcare
internet and cell phone reimbursement
learning and development stipend
potential opportunities to travel to our Mountain View headquarters

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

security engineeringAWSDockerKubernetesTerraformPythonnetworking conceptsThreat DetectionVulnerability ManagementAI security

Soft Skills

incident responsecross-functional collaborationleadershipanalytical skillsproblem-solving

Certifications

MS in Computer ScienceBachelor's in Computer ScienceISO 27001SOC2NISTSOXPCI