Jobgether

Senior Security Engineer, Detection & Response (Canada, Mexico, United States)

Job Description

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Security Engineer, Detection & Response (Eastern Preferred) in Canada, Mexico, United States.

As a Senior Security Engineer specializing in Detection & Response, you will be responsible for enhancing the security visibility and threat detection capabilities across various platforms. You will design, implement, and maintain high-fidelity log ingestion pipelines, monitor and respond to cybersecurity threats, and work closely with cross-functional teams to improve Docker’s security posture. This role involves automating processes, investigating incidents, and refining security strategies to ensure a secure infrastructure. Your expertise in detection engineering will contribute to advancing the company’s security initiatives and supporting continuous improvement in security operations.

Accountabilities:

  • Lead detection and incident response efforts, including monitoring, threat detection, investigation, and automation of response playbooks.
  • Design and optimize log pipelines, ensuring consistency across EDR, SIEM, SOAR, and other security tools to enhance threat detection.
  • Automate security infrastructure and processes using Terraform, Kubernetes, and scripting to improve efficiency and scalability.
  • Ensure compliance with data retention policies and support audits to maintain regulatory standards.
  • Collaborate with product security, infrastructure, and IT teams to mature the detection engineering program and strengthen overall security.
  • Participate in on-call rotations and contribute to cross-team security initiatives.

Requirements

  • 4-5 years of hands-on experience in detection and response, with expertise in enterprise SaaS environments.
  • Proven experience in building and optimizing log ingestion and normalization pipelines.
  • Expertise in Detection as Code using Python and SQL.
  • Subject matter expertise in endpoint security and/or cloud security, including AWS, Azure, and GCP.
  • Strong knowledge of Mac, Linux, and Windows operating systems.
  • Experience with Kubernetes is a plus.
  • Demonstrated ability to collaborate with multiple teams in security roles and contribute to incident response efforts.
  • Background in Information Security, Computer Science, Forensics, or equivalent work experience.

Benefits

  • Flexible Work Environment: Remote-first setup with flexibility to fit work around life.
  • Parental Leave: 16 weeks of paid parental leave.
  • Technology Stipend: Monthly $100 net stipend for home office setup and tech needs.
  • PTO: Generous paid time off to recharge and enjoy life.
  • Training & Development: Stipend for conferences, courses, and personal growth.
  • Hackathons: Quarterly company-wide hackathons to promote innovation.
  • Equity: Opportunity to share in the company’s success with stock options.
  • Diversity & Inclusion: A commitment to building a diverse, inclusive, and supportive work environment.

Jobgether hiring process disclaimer


This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.


Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.


Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.


If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.


Thank you for your interest!

#LI-CL1