Sr. Automation Engineer, Falcon Complete

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Automation Engineer, Falcon Complete based in Canada.

As a Senior Automation Engineer, you will play a key role in advancing cybersecurity operations through intelligent automation, scalable software engineering, and AI-powered threat response. You will design and deliver sophisticated automation workflows that help security analysts detect, investigate, and remediate threats faster and more effectively. Working within a globally distributed Managed Detection and Response (MDR) team, you will collaborate with engineers, cybersecurity experts, and cross-functional stakeholders to build reliable, high-performance solutions. The role combines hands-on technical leadership with opportunities to innovate in agentic AI systems and next-generation security technologies. You will influence architectural decisions, establish engineering best practices, and mentor fellow engineers while improving operational efficiency at scale. This remote opportunity is ideal for a technically experienced professional passionate about automation, continuous improvement, and protecting organizations against evolving cyber threats.

• Lead the end-to-end design, development, and implementation of automation features and product enhancements that strengthen managed detection and response capabilities.
• Architect and build deterministic and agentic automation pipelines that integrate software services, scripting, orchestration, and security data enrichment across multiple tools and platforms.
• Analyze complex cybersecurity challenges and develop scalable, enterprise-grade automation solutions that accelerate threat triage, investigation, and remediation.
• Collaborate closely with security analysts, engineering teams, business stakeholders, and technical partners to gather feedback, identify operational needs, and deliver effective automation products.
• Develop reliable, high-performance web services and data pipelines designed to support growing operational demands and evolving security requirements.
• Improve service resilience, monitoring, and observability by identifying potential issues proactively and implementing solutions that enhance system reliability and quality.
• Participate in an on-call rotation to support the continuous availability and operational performance of critical security systems.
• Provide technical leadership and mentorship to engineers through code reviews, architectural guidance, technical interviews, and the promotion of engineering standards and best practices.
• Identify opportunities to reduce repetitive work and operational overhead through automation, AI integration, and workflow optimization.
• Evaluate emerging technologies and apply AI-driven approaches to improve decision-making, engineering productivity, and security operations.
• Contribute to a collaborative, asynchronous engineering culture by sharing knowledge, communicating effectively, and supporting continuous learning and innovation.

Requirements:

• 6–10 years of relevant experience in automation engineering, software development, scripting, cybersecurity, or a related technical field, with demonstrated growth in technical complexity and leadership responsibilities.
• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related discipline. Equivalent professional experience and relevant industry certifications may be accepted in place of a degree.
• Professional programming experience in at least one of the following languages: Go (Golang), Python, JavaScript, C++, or Java, with a willingness to work with Go and JavaScript.
• Foundational knowledge of large language models (LLMs), agentic development systems, and practical applications of AI in engineering or cybersecurity workflows.
• Demonstrated experience building enterprise-grade web services, scalable data pipelines, or other production systems with strong reliability and performance requirements.
• Hands-on experience with version control systems such as Git and continuous integration and continuous delivery (CI/CD) pipelines.
• Operational knowledge of cloud technologies, databases such as PostgreSQL, messaging systems such as Kafka, Docker, and container orchestration platforms such as Kubernetes.
• Proven technical leadership and mentoring abilities, supported by strong written and verbal communication, project management, and cross-functional collaboration skills.
• Ability to work effectively in a remote, globally distributed, and highly asynchronous environment while managing competing priorities and maintaining high-quality delivery.
• Demonstrated experience using AI technologies to improve decision-making, streamline processes, increase efficiency, and achieve measurable business outcomes.
• A collaborative mindset, intellectual curiosity, adaptability, and a commitment to continuous learning, engineering excellence, and customer success.

The following qualifications are considered an asset:

• Experience developing user interfaces and building services within microservices architectures.
• Expertise in high-level system design and the architecture of distributed, scalable systems.
• Cybersecurity experience with Security Orchestration, Automation and Response (SOAR) platforms, Security Information and Event Management (SIEM) tools, endpoint security solutions, or security-focused product development.
• Familiarity with Unix systems, PowerShell, and associated scripting or administration tools.
• Experience in data science, agentic AI training, or the development of non-deterministic AI systems.
• Knowledge of prompt engineering, context engineering, and techniques for optimizing AI-powered workflows.
• Experience with cloud providers such as AWS, Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).
• Familiarity with cloud observability and monitoring tools.
• A proactive approach to improving team productivity through automation, with a strong commitment to reliability, quality, and technical growth.

Benefits:

• Competitive compensation: Annual base salary ranging from CAD $150,000 to $200,000, depending on relevant experience, skills, certifications, and location.
• Additional compensation: Variable or incentive-based compensation and equity opportunities, subject to the applicable compensation program.
• Comprehensive benefits: Access to a competitive employee benefits package designed to support overall well-being.
• Physical and mental wellness: Comprehensive wellness programs supporting physical health and mental well-being.
• Paid time off: Competitive vacation allowances and leave programs to encourage rest, recovery, and work-life balance.
• Family support: Paid parental and adoption leave.
• Professional development: Learning and career development opportunities available to employees across roles and experience levels.
• Remote work flexibility: A remote position open to eligible candidates in Canada, with a distributed working environment that supports asynchronous collaboration.
• Inclusive workplace culture: Employee networks, regional community groups, and volunteer opportunities that encourage connection, collaboration, and belonging.
• Innovation-driven environment: Opportunities to work with advanced cybersecurity technologies, AI-powered systems, and large-scale security operations.
• Equal employment opportunities: A commitment to fostering an inclusive workplace where employees are valued and supported in their professional growth.