Cybersecurity

SoftPathTechnologies

United States

A distancia

USD 180.000 - 240.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

SoftPathTechnologies seeks a senior Cybersecurity leader to architect and deliver AI-enabled security platforms remotely, with occasional travel to NY up to 10%. You will own design and development across AI agents, dashboards, APIs, and integrations, coordinating frontend, backend, AI orchestration, and CI/CD with a security-first mindset.

Lead TypeScript/Vue.js or React frontends, Python/Go microservices, LangGraph agents, and integrate SIEM, cloud platforms, and IAM.

Formación

  • Production ownership of distributed, data-intensive systems.
  • Deep async/concurrency experience.
  • Agent tool execution beyond chatbot/RAG demos.
  • Cybersecurity-domain understanding.

Responsabilidades

  • Lead design and development of AI-enabled applications, agents, APIs, dashboards, and cybersecurity automation across the S&P Flywheel.
  • Provide hands-on technical leadership across Prepare, Scan, Remediation, and Monitor pods, coordinating frontend, backend, AI orchestration, integration, processing, and platform dependencies.
  • Lead frontend implementations (TypeScript/Vue.js preferred; React/Next.js) for real-time streams, vulnerability graphs, and executive dashboards.
  • Lead Python/FastAPI/asyncio and Go microservice development for resilient APIs, connectors, authentication, rate limiting, retries, idempotency, and event-driven processing.
  • Lead LangGraph/custom agent-loop implementation, LLM function calling, structured outputs, model-agnostic gateways, evaluation, guardrails, server-side approvals, and tracing/observability.
  • Integrate SIEM, Wiz, Tenable/Qualys, Checkmarx, GitHub, Jira/ServiceNow, cloud, CI/CD, and IAM platforms.
  • Establish secure coding, API contracts, code review, automated testing, telemetry, performance, scalability, deployment, and production-readiness standards.
  • Resolve technical blockers, mentor engineers, support demonstrations and documentation, and partner with Architecture, Security Domain, SRE, QA, and client stakeholders.
  • Candidate baseline: production ownership of distributed, data-intensive systems; deep async/concurrency experience; agent tool execution beyond chatbot/RAG demos; and cybersecurity-domain understanding.

Descripción del empleo

Title: Cybersecurity

Location: Remote (with 10% possibility of travel - NY)

Level Required for Primary Skill: Expert (10+ years experience)

  • Lead the design and development of AI-enabled applications, agents, APIs, dashboards, integrations, and cybersecurity automation across the S&P Flywheel.
  • Provide hands-on technical leadership across Prepare, Scan, Remediation, and Monitor pods, coordinating frontend, backend, AI orchestration, integration, processing, and platform dependencies.
  • Lead TypeScript/Vue.js 3 (preferred) or React/Next.js implementation for real-time streams, vulnerability graphs, approval/code-diff workflows, data-heavy dashboards, and executive reporting.
  • Lead Python/FastAPI/asyncio and Go microservice development for resilient APIs, connectors, authentication, rate limiting, retries, idempotency, and event-driven processing.
  • Lead LangGraph/custom agent-loop implementation, LLM function calling, structured outputs, model-agnostic gateways, evaluation, guardrails, server-side approvals, and tracing/observability.
  • Integrate SIEM, Wiz, Tenable/Qualys, Checkmarx, GitHub, Jira/ServiceNow, cloud, CI/CD, and IAM platforms.
  • Establish secure coding, API contracts, code review, automated testing, telemetry, performance, scalability, deployment, and production-readiness standards.
  • Resolve technical blockers, mentor engineers, support demonstrations and documentation, and partner with Architecture, Security Domain, SRE, QA, and client stakeholders.
  • Candidate baseline: production ownership of distributed, data-intensive systems; deep async/concurrency experience; agent tool execution beyond chatbot/RAG demos; and cybersecurity-domain understanding.
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