Horizon3.ai Logo

Horizon3.ai

Senior Backend Engineer, Autonomous Defense

Posted 9 Days Ago
Remote
Hiring Remotely in US
170K-235K Annually
Senior level
Remote
Hiring Remotely in US
170K-235K Annually
Senior level
Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.
The summary above was generated by AI

Get to Know Us

Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. 

We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.

 

What You'll Do

As a Senior Backend Engineer on the Autonomous Defense team, you'll build the platform that NodeZero's defensive agents run on. Our AI researchers define what these agents should reason about, you build the systems that make that work in production, across thousands of customer tenants, without breaking anything.

That means real distributed systems problems, not glue code. They execute inside customer environments under tight isolation, credential, and egress constraints. And when an agent proposes a change in production, the platform has to be able to simulate it, stage it, gate it on approval, roll it back, and prove after the fact exactly what happened and on whose authority.

This is a platform role. You'll own the runtime, the tool layer, the orchestration, the connector framework, and the observability that makes agent behavior debuggable. You'll work closely with our AI researchers, but you are not being hired to tune prompts — you are being hired to build the substrate that makes their work shippable and safe.

Responsibilities

  • Build and own the agent execution runtime: durable, resumable, long-running workflows with checkpointing, idempotent steps, cancellation, and timeouts at both the step and run level.

  • Design and implement the tool layer that agents act through — a registry with versioning, schema validation, per-tenant enablement, and authorization enforced server-side rather than by the model.

  • Build the connector framework for third-party security control planes (EDR, firewall, identity, SIEM, cloud IAM).

  • Implement the safe-change pipeline: dry-run and simulation, blast-radius classification, approval gates for high-impact actions, staged rollout, rollback, and an immutable per-tenant audit trail.

  • Extend NodeZero's tenant isolation model to agents that take write actions, covering execution boundaries, egress control, quotas, and cross-tenant leakage in caches, indexes, and logs.

  • Develop core product features in ETL and GraphQL to support data processing and retrieval for agent context, run history, and remediation state.

  • Build the ETL pipelines that turn pentest and remediation outcomes into the datasets our researchers train and evaluate against.

  • Instrument everything. Distributed tracing across an agent run, cost and token accounting per tenant, and the tooling to answer "why did the agent do that" without guessing.

  • Partner with AI researchers, attack engineers, and product to take capabilities from prototype to production, and feed platform constraints back into research direction early rather than late.

Required Education / Experience

  • Bachelor's Degree in Computer Science, Computer Engineering or related field.

  • 7+ yrs professional software engineering experience using modern object-oriented or functional languages (Python, Go, Scala, C++, TypeScript, etc).

  • Experience building applications on cloud computing platforms such as AWS, Azure, GCP, using container technologies such as Docker and Kubernetes.

  • Expert proficiency in SQL.

  • Demonstrated experience designing and operating distributed systems in production: asynchronous workflows, queues, retries, idempotency, and partial failure.

  • A track record of shipping and operating production services, including on-call ownership.

What Sets You Apart

  • Experience building agentic or LLM-backed systems in production

  • Experience with a durable execution (such as Temporal) or workflow engine or having built equivalent checkpointing yourself.

  • Experience building multi-tenant platforms with hard isolation requirements, workload identity, and short-lived credential brokering.

  • Experience integrating a long tail of third-party APIs behind a normalized abstraction.

  • Familiarity with security control planes and their APIs — EDR (CrowdStrike, SentinelOne, Microsoft Defender), firewalls, SIEM, cloud IAM.

  • Experience with database architectures including relational (PostgreSQL) and graph (Neo4j), and experience building GraphQL backends.

  • Experience with observability tooling (Datadog, Prometheus, Grafana) and distributed tracing.

  • Awareness of prompt injection and untrusted-input handling in systems where an agent consumes data from the environment it operates in.

 

Perks of Horizon3

  • Inclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.

  • Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.

  • Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.

  • Hybrid & Remote Work: We embrace a mix of remote and hybrid work models depending on role and location, including our Chicago office, where some roles require regular in-office presence.

  • Competitive Compensation: We offer competitive salary, equity and benefits. Our benefits include health, vision & dental insurance for you and your family, a flexible vacation policy, and generous parental leave.

Compensation and Values

At Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.

In accordance with various State’s transparency regulations, we provide the following salary range information for this position:

  • Base salary range: $170,000 - $235,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.

  • Additional compensation: All full-time roles are eligible for an equity package in the form of stock options.

You Belong Here

Horizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.

Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.

We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

HQ

Horizon3.ai San Francisco, California, USA Office

San Francisco, CA, United States, 94118

Similar Jobs

An Hour Ago
Remote or Hybrid
Massachusetts, USA
165K-228K Annually
Entry level
165K-228K Annually
Entry level
Automotive • eCommerce • Hardware • Music • Retail • Software • Wearables
Develop agentic workflows and automation for real-time audio machine learning research. Responsibilities include orchestrating training, evaluation, experimentation, reporting, data preparation, hyperparameter searches, benchmarking, regression testing, experiment tracking, artifact management, and reproducible execution. The role integrates LLM agents with research tools, datasets, repositories, evaluation suites, and GPU infrastructure while partnering with audio researchers to create reusable workflows and dashboards.
Top Skills: Automated TestingCi/CdContainersCudaDigital Signal Processing (Dsp)Distributed TrainingExperiment TrackingGpu SchedulingLinuxLlm AgentsMlopsPythonPyTorch
An Hour Ago
Remote or Hybrid
Sunnyvale, CA, USA
219K-335K Annually
Senior level
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Leads engineers and data scientists developing autonomy subsystem evaluation metrics, root-cause analyses, regression detection, and release decision tools. Owns roadmap, staffing, technical quality, and cross-functional alignment across planning, perception, prediction, and localization. Applies statistical evaluation, simulation and road data analysis, and VLMs/LLMs to determine how subsystem errors affect driving outcomes and communicate actionable findings to engineering and leadership.
Top Skills: C++LlmsPythonSQLVlms
2 Hours Ago
Remote or Hybrid
California, USA
37K-66K Hourly
Senior level
37K-66K Hourly
Senior level
Fintech • Financial Services
Manages and grows relationships with affluent consumer and business customers through proactive outreach, discovery-based financial guidance, and multi-product recommendations across deposits, lending, investments, and banking services. Owns a book of business, coordinates referrals with Wealth, Home Lending, and Business Banking, promotes digital adoption, supports branch colleagues, and maintains strong documentation, regulatory compliance, and risk controls.
Top Skills: Finra Series 6Finra Series 63Finra Series 65Lo/Cfpb RequirementsSafe RegistrationSecurities Industry Essentials (Sie)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account