
51 - 200 employees
Founded 1997
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
🔥 10 minutes ago
Where this job comes from
Posted on Technosylva's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago

51 - 200 employees
Founded 1997
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
• Protect the cloud-hosted platform and its underlying infrastructure • Review and harden the cloud environment and improve security architecture • Run vulnerability management across cloud workloads, servers, endpoints, containers, and applications, from scanning and risk-based prioritization through remediation • Threat model AI/ML and LLM-based features and internal AI tools • Review AI vendors, models, and third-party AI services • Partner with AI governance to implement approved-use standards, data classification, access controls, and logging • Support alignment with ISO/IEC 42001, NIST AI RMF, and OWASP Top 10 for LLM Applications • Design and improve cloud security architecture, including IAM, network segmentation, secrets management, encryption, and tenant isolation • Review AWS and Azure configurations against CIS Benchmarks and provider best practices • Use CSPM and configuration monitoring tools for continuous security reviews • Monitor security advisories and patch-related risks and coordinate response with IT • Participate in incident response, including triage, investigation, containment, and recovery • Conduct root-cause analysis and lead post-incident reviews and write-ups • Build detection and monitoring for platform and AI systems and improve alerting and runbooks • Track incident trends and report them to IT and operations leadership • Automate evidence collection, vulnerability triage, alert enrichment, ticketing, and reporting with scripting and AI agents • Build integrations between security tools and remediation teams • Evaluate and safely adopt AI-assisted security workflows with guardrails, logging, and human oversight • Support security controls and evidence for SOC 2, ISO 27001, ENS, and other customer and regulatory requirements • Contribute to M&A integration and vendor or entity separation work • Advise Infrastructure, Platform, and IT teams on security • Report on risk, posture, and progress to IT and operations leadership
• 5+ years in security engineering, cloud security, infrastructure and platform security • Hands-on experience reviewing and hardening cloud configurations in AWS and/or Azure • Experience with vulnerability management tools and processes, including scanning, risk-based prioritization, and remediation tracking across cloud workloads, servers, endpoints, and containers • Experience investigating and documenting security incidents, including root cause analysis and post-incident reviews • Working knowledge of how LLMs and AI applications are built and deployed, and of their distinct risks (prompt injection, data exfiltration, excessive agency, insecure output handling) • Strong grounding in secure design, network security, IAM, and cryptography fundamentals • Scripting or automation skills (Python, Bash, AI agents, etc.) • Experience with at least one compliance framework (SOC 2, ISO 27001, FedRAMP/GovRAMP, NIST 800-53 or similar) • Clear communication with both technical and non-technical audiences • Relevant certifications are nice to have, including CISSP, CCSP, AWS/Azure security, GIAC, or AI-security specialty credentials • Experience with AI governance or AI risk management is nice to have • Background in AI/ML red-teaming or adversarial testing is nice to have • Experience with CSPM, SIEM, or EDR tooling is nice to have • Familiarity with Windows and Linux server hardening and patch management is nice to have • Experience supporting government, utility, or other regulated-industry customers is nice to have
• Competitive annual salary • Private health insurance • Flexible benefits plan, allowing you to tailor part of your compensation package to your personal needs • Annual bonus based on individual performance and company results • Flexible working hours • Remote work options
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