Senior Splunk ITSI Engineer responsible for implementation, configuration, administration, and optimization of Splunk IT Service Intelligence in classified environments.
Compensation
The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to provide an equitable and competitive comprehensive compensation package. These considerations include, but are not limited to, contracted rates, education, certification(s), experience, specific competencies required for this position, and geographic location.
Responsibilities
Implement and configure Splunk ITSI services
Develop and optimize SPL queries, dashboards, alerts, and correlation searches
Configure ITSI event management capabilities
Integrate infrastructure, application, and operational data sources
Troubleshoot complex monitoring environments
Requirements
Bachelor's degree in Computer Science, Information Technology, Systems Engineering, Cybersecurity, or a related technical field
Nice to have: Experience supporting Splunk ITSI in classified, Intelligence Community, or Department of Defense environments
Nice to have: Familiarity with Splunk Enterprise Security (ES)
Sr Staff Engineer, SOC to help defend the fintech platform against large-scale payment fraud, carding attacks, and other financially motivated threats. Lead offensive security assessments targeting transaction systems, authentication flows, and APIs.
Locations (3)
Coppell, Texas, United States
California, United States
Illinois, United States
Compensation
Salary Range for California Residents Only: $189,990.00 to $323,010.00. Salary Range for Illinois Residents Only: $155,770.00 to $264,834.00.
Responsibilities
Embed security into the SDLC, including requirements, design, development, and deployment phases.
Define and promote secure coding practices across engineering teams.
Perform security design reviews, threat modeling, and architecture assessments for applications, APIs, and microservices.
Senior Sales Engineer responsible for technical strategy and pre‑sales support across Switzerland.
Compensation
The base salary range for this job family is 105,000 to 189,700 CHF annually. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.
Responsibilities
Partner with Account Executives to drive new business opportunities and secure technical wins
Lead discovery conversations to understand customer requirements
Assess and document customer environments
Deliver presentations, demonstrations, workshops, and Proof of Value engagements
Act as a trusted advisor to technical and executive stakeholders
Architect and scale microservices for Kong’s cloud-hosted control plane, design and maintain high-performance APIs, ensure reliability and uptime, and collaborate with cross-functional teams to deliver business features.
Responsibilities
Architect and scale microservices that power Kong Konnect’s cloud-hosted control plane to manage global customer configurations seamlessly.
Design, implement, and maintain highly performant, low-latency APIs and services that deliver exceptional Developer Delight.
Drive solutions for technical problems of moderate complexity, keeping an active focus on preventing technical debt.
Prevent regressions and guarantee product stability by writing robust, automated tests.
Own the reliability and uptime of services in production by participating in an active on-call rotation.
Engage with stakeholders to understand their technical needs, constraints and delivery requirements, and translate them into effective Cloud & DevOps service implementations.
Deliver and onboard approved Cloud & DevOps services, packaged solutions and platform capabilities, with a strong focus on AWS and GCP application environments and Kubernetes-based delivery.
Configure, integrate and validate service components using tools such as GitLab, ArgoCD, Kubernetes, Terraform, Vault and cloud-native services.
Identify opportunities for automation and contribute to repeatable delivery patterns, pipelines, and service improvements.
Promote standardization, automation and reusable patterns to ensure consistent, secure and transparent service delivery.
Lead AI research to advance cybersecurity capabilities of large language models and autonomous AI agents through post‑training, evaluation, and dataset development.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Develop high‑quality security datasets, including synthetic data, hard negatives, adversarial examples, expert annotations, and model‑generated trajectories.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security‑tool outputs, detection results, vulnerability reproduction, and other domain‑specific validation methods.
Design reproducible training and evaluation environments for complex cybersecurity tasks such as vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Develop and evaluate post‑training methods including supervised fine‑tuning, preference optimization, reinforcement learning, reward modeling, rejection sampling, and distillation.
Build iterative model‑improvement loops using model rollouts, verifier feedback, expert review, synthetic data generation, and failure‑driven data collection.
Requirements
BS/MS degree in Computer Science, Machine Learning, Artificial Intelligence, Cybersecurity, or a related field, or equivalent practical experience.
Nice to have: reinforcement learning
Principal Security Researcher – AI (Cybersecurity LLM Post-Training, Evals, and Environments)
Lead AI research to advance cybersecurity capabilities of large language models and autonomous agents.
Compensation
$163,200.00 - $264,000.00/yr
Responsibilities
Develop high-quality security data, realistic training and evaluation environments, reliable graders, and post-training methods for complex cybersecurity tasks spanning vulnerability research, threat analysis, detection, investigation, remediation, secure coding, and autonomous security workflows.
Design reproducible training and evaluation environments for complex cybersecurity tasks.
Transform source-code repositories, vulnerabilities, security incidents, malware samples, threat intelligence, detection logic, patches, test harnesses, and security tools into structured tasks for LLMs and AI agents.
Build reliable graders, verifiers, and reward signals using tests, compilation, runtime behavior, security-tool outputs, detection results, vulnerability reproduction, and other domain-specific validation methods.
Design evaluations for security reasoning, code understanding, threat analysis, root-cause analysis, tool use, long-horizon execution, and autonomous task completion.
Requirements
BS/MS degree in Computer Science, Machine Learning, Artificial Intelligence, Cybersecurity, or a related field, or equivalent practical experience.
Sr. Splunk ITSI Engineer-Active (TS/SCI/FSP)NewVibrint · Hanover, US
Sr. Staff Engineer, SOCNewBlackhawk Network · Pleasanton, US
Senior Sales EngineerNewArctic Wolf · Remote, Switzerland
Senior Software Engineer, Control PlanesNewKong · Canada