Remote Security Ops Engineer - AI-Driven Detection

VulnU; United States; Remote; USD 160,000 - 180,000; Full time

Benefits offered by this job

Private Health Insurance

Gym Reimbursement

Commuter Benefits

Flexible Time Off

In-Office Group Meals

Learning & Development Stipend

Company Sponsored Conferences & Events

Books & Audiobook subscription with B"

Job summary

Alchemy is seeking a Security Operations Engineer to enhance threat detection, investigation, and incident response for a remote workforce. You will design and tune detections, build robust telemetry pipelines, and automate evidence collection with AI-assisted workflows.

The role is hands-on, individual-contributor, and requires strong Python skills, cloud security knowledge, and experience with SIEM platforms.

Qualifications

• Hands-on security operations experience spanning detection engineering, threat hunting, and incident response.
• Strong scripting and software-building ability, especially Python.
• Experience with a SIEM such as Panther, Splunk, or an equivalent platform.
• Working knowledge of cloud security, identity, endpoint telemetry, networking, and Linux systems.

Responsibilities

• Detect and investigate threats across cloud, identity, endpoints, and production environments.
• Engineer detection coverage by building and tuning detections and telemetry pipelines.
• Respond to incidents via on-call rotation, including containment, recovery, and post-incident improvements.
• Build AI-assisted security workflows for evidence collection and response preparation.
• Collaborate with Infrastructure and IT on vulnerability remediation and hardening.

Skills

Python

APIs

Version control

Automation in production

SIEM experience

Cloud security

Linux

Endpoint telemetry

Threat hunting

Incident response

AI-assisted tools

Documentation

Tools

Panther SIEM

Splunk

Job description

Alchemy is seeking a Security Operations Engineer to enhance threat detection, investigation, and incident response for a remote workforce. You will design and tune detections, build robust telemetry pipelines, and automate evidence collection with AI-assisted workflows.

The role is hands-on, individual-contributor, and requires strong Python skills, cloud security knowledge, and experience with SIEM platforms.