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Jobgether β’ United States
Role & seniority: Sr. Automation Engineer, Falcon Complete (United States)
Languages: Java/Groovy, Python, JavaScript
Automation: Adaptavist ScriptRunner, SOAR platforms, AI-driven automation frameworks
DevOps: CI/CD pipelines, Git, Jira
AI/NLP: LLMs, prompt engineering, agentic AI frameworks; LangChain (nice-to-have)
Integrations: SIEM queries/analytics
Design, build, and maintain complex security automation workflows and playbooks in SOAR platforms
Develop custom scripts and automate security processes; architect AI-powered automation systems
Build/optimize AI automation frameworks; implement CI/CD for automation solutions; end-to-end ownership from architecture to monitoring
5β7 years in DevOps engineering with automation/security focus
Proficiency in Java/Groovy, Python, JavaScript; Adaptavist ScriptRunner for Jira
Practical experience with complex SOAR workflows; CI/CD design; Git
Knowledge of incident detection/triage in MDR/SOC; engineering best practices (testing, code reviews, resilient architecture)
Familiarity with AI tooling, AI context engineering, and agentic automation frameworks
Atlassian certifications or similar
Advanced AI workflow orchestration (LangChain, etc.)
Cloud platforms (AWS/Azure/GCP)
Falcon platform APIs integration; ML frameworks (TensorFlow, PyTorch)
Cybersecurity certifications (CISSP, GCIH
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Automation Engineer, Falcon Complete in the United States.
This role offers a unique opportunity to design, develop, and maintain AI-powered security automation workflows that enhance managed detection and response operations at scale. You will leverage advanced DevOps practices, SOAR platforms, and intelligent automation systems to streamline security operations and improve analyst efficiency. The position emphasizes technical leadership, innovation, and hands-on development using Java/Groovy, Python, JavaScript, and AI-driven automation frameworks. Candidates will collaborate closely with security operations teams to identify automation opportunities, implement enterprise-scale solutions, and ensure high-quality, scalable workflows. Ideal candidates are proactive problem-solvers who thrive in fast-paced environments and enjoy building systems that make a tangible impact on enterprise security.
Accountabilities
Design, build, and maintain complex security automation workflows and playbooks in SOAR platforms Develop custom scripts using Adaptavist ScriptRunner, Java/Groovy, Python, and JavaScript to automate security processes Architect AI-powered automation systems using LLMs, prompt engineering, and agentic AI frameworks Build and optimize AI automation frameworks to reduce repetitive analyst tasks and accelerate response workflows Design and implement CI/CD pipelines for deployment of automation solutions Integrate SIEM queries and analytics into automated workflows for high-fidelity security investigations Collaborate with SOC analysts and engineering teams to identify high-value automation opportunities Own end-to-end automation initiatives, from architecture and development to deployment and monitoring
Requirements
5-7 years of experience in DevOps engineering with a focus on automation and security workflows Expertise in Java/Groovy, Python, and JavaScript for building automation tools and enterprise integrations Proficiency with Adaptavist ScriptRunner for Jira and advanced Jira workflow customization Practical experience building complex workflows in SOAR environments Experience with AI coding tools, AI context engineering, and agentic automation frameworks Strong understanding of CI/CD pipeline design and implementation Experience with Git and collaborative development practices Knowledge of incident detection, triage, and response workflows in MDR/SOC environments Engineering best practices including testing, code reviews, and resilient architecture
Atlassian Certified Professional or similar certifications Advanced experience with AI workflow orchestration frameworks (LangChain, etc.) Cloud platform experience (AWS, Azure, GCP) Experience with Falcon platform APIs and integration Knowledge of neural networks and ML frameworks (TensorFlow, PyTorch) Cybersecurity certifications (CISSP, GCIH, SANS automation-focused) Experience with monitoring and logging tools
Benefits
Remote-friendly and flexible work culture Competitive salary and equity awards Comprehensive physical and mental wellness programs Paid vacation, holidays, parental, and adoption leave Professional development opportunities for all employees Employee networks, volunteer programs, and community engagement initiatives Vibrant, inclusive workplace culture recognized as a Great Place to Work Certifiedβ’ organization
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.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
π Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
π It compares your profile to the job's core requirements and past success factors to determine your match score.
π― Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
π§ When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias β focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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