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. Accountabilities: • 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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and