Security Engineer (Hybrid or Remote)

Vivid Money is a fintech company on a mission to transform how businesses and individuals manage their finances. They are seeking a Security Engineer to enhance the security of their internal environment, focusing on areas such as incident response, identity management, and endpoint security, while also driving automation and improvements in their security architecture.

Responsibilities:

• Own SIEM alerting end-to-end: ship logs from endpoints, IdP, VPN, SaaS, and cloud; write and tune detection rules; cut false positives
• Act as first responder for security incidents — investigate, contain, drive to closure with clear runbooks — and feed recurring issues back into preventive controls
• Administer the IdP (SSO via SAML/OIDC, MFA, conditional access) and run access recertification end-to-end across IdP, SaaS, AWS, and internal tools — scope, evidence, follow-through on revocations
• Hunt down over-permissive and stale access, enforce least privilege and PAM, catch SoD gaps, and make JML and third-party access work in practice
• Improve SaaS security posture (Google/Microsoft, Slack, GitHub, others) and apply DLP controls to limit data leakage
• Keep the endpoint stack healthy and well-tuned — MDM, XDR/AV, device-compliance checks for VPN/ZTNA — and define posture requirements (disk encryption, EDR present, OS version) with automated remediation
• Defend against phishing and spoofing — secure email gateway rules, DMARC/SPF/DKIM — and run phishing simulations and security awareness, acting on the results
• Build internal tooling and automate repetitive operations — reduce manual work, don't just operate it
• Own the roadmap for your areas: identify gaps, lead initiatives independently, and raise the bar rather than just maintain it

Requirements:

• 5+ years in security operations, corporate/IT security, or endpoint engineering
• Strong with a SIEM (Splunk, Elastic, Panther, Sumo Logic) — detection engineering and incident response — plus an identity provider (Okta, Entra ID, Google Workspace), access recertification, and least-privilege / PAM
• Working knowledge of endpoint security (MDM, XDR/EDR/AV) and email / phishing defense
• Practical experience securing how a company uses AI internally: shadow AI discovery, DLP for AI tools, controls for AI assistants and agents, and a working risk framework for adopting new ones. You've done this for real, not from a vendor pitch deck
• Strong scripting and automation skills — you build tooling against APIs, not just configure consoles
• Track record of driving improvements end-to-end and leading initiatives with little oversight
• Сlear written and spoken English for engineers and leadership