Tenable · 1 day ago
Senior Software Engineer - Agentic AI Platform
Tenable is the Exposure Management company that supports organizations in understanding and reducing cyber risk. They are seeking a Senior Software Engineer to design and implement the Agentic AI Platform, which enables autonomous agents to execute complex security workflows within their ecosystem.
ComplianceNetwork SecurityRisk ManagementSecurity
Responsibilities
Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices
Orchestration & Workflow Automation: Design scalable workflow engines and 'human-in-the-loop' systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control
Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture
Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat 'prompts' as code and model outputs as untrusted input that requires validation
Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and 'Tool Use' capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources
Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability
Qualification
Required
B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience
5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms
Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI
Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components
Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST)
Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch)
Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from 'prototype' to 'production-grade.'
Preferred
LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows
Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes
Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning
Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer
Benefits
Medical
Dental
Vision
Disability and life insurance
401(k) retirement savings with company match
An employee stock purchase plan
An employee referral program
Flexible spending accounts
An Employee Assistance Program (EAP)
Education assistance
Parental leave
Paid time off (PTO)
Company-paid holidays
Health and wellness events
Community programs
Company
Tenable
Tenable provides an exposure management platform to identify and mitigate risks.
Funding
Current Stage
Public CompanyTotal Funding
$565.44MKey Investors
Insight PartnersAccel
2020-07-29Post Ipo Equity· $255.6M
2018-07-26IPO
2017-07-03Secondary Market
Recent News
2026-01-06
Washington Technology
2025-12-20
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