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Senior Backend Engineer, Autonomous Defense

Build and own the platform for NodeZero's defensive agents as a Senior Backend Engineer in a fully remote role.

Location
United States
Compensation
$170k–$235k/yr
Level
senior
Type
full time · Remote

Posted by employer 8 hours ago

First seen on Joblaze 21 minutes ago

Last verified on the company career page 21 minutes ago

Apply at Horizon3.ai → Save job Scanned from horizon3.ai

What you'll build

  • Build and own the agent execution runtime
  • Design and implement the tool layer for agents
  • Build the connector framework for third-party security control planes
  • Implement the safe-change pipeline
  • Develop core product features in ETL and GraphQL

Must have

  • Bachelor's Degree in Computer Science or related field
  • 7+ yrs professional software engineering experience
  • Experience building applications on cloud computing platforms
  • Expert proficiency in SQL
  • Experience designing and operating distributed systems

Nice to have

  • Experience building agentic or LLM-backed systems
  • Experience with a durable execution or workflow engine
  • Experience building multi-tenant platforms
  • Familiarity with security control planes and their APIs
  • Experience with observability tooling

Requirements

Experience
7+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work Health Insurance Parental Leave

Joblaze summary

In the role of Senior Backend Engineer on the Autonomous Defense team, the individual will focus on building and maintaining the platform that supports NodeZero's defensive agents, ensuring they operate effectively in diverse customer environments. Key skills include expertise in distributed systems, proficiency in modern programming languages like Python or Go, and experience with cloud platforms and container technologies. This position is suited for seasoned engineers with a strong background in software development and a track record of managing production services. The team is composed of cybersecurity veterans and engineers, fostering a collaborative environment aimed at addressing com

Joblaze insights

  • Listed today — first seen on Joblaze November 13, 2026. Last confirmed on Horizon3.ai's careers page November 13, 2026.
  • This exact title is also open at 1 other location at Horizon3.ai: US, Remote.
  • Salary band is in line with the typical range for Backend roles (median ~$180,000).
  • Starts above 41% of 160 comparable senior backend roles in United States that list Python we track (median $174,958 across 65 companies). See Python salary trends
  • Python appears in 40.3% of 516 comparable senior backend roles in United States; Neo4j appears in 0.4% of 516 comparable senior backend roles in United States.

Quick facts

Is the Senior Backend Engineer, Autonomous Defense role remote?
Yes — Horizon3.ai lists this as a fully remote position.
What's the salary range?
Horizon3.ai lists $170,000–$235,000 for this role.
How much experience is required?
At least 7 years of relevant experience for this Senior Backend Engineer, Autonomous Defense role.
What's the tech stack?
Joblaze extracted these technologies from the posting: AWS, Azure, C++, Datadog, Docker, GCP.
What seniority level is this role?
Horizon3.ai targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Backend Engineer, Autonomous Defense role at Horizon3.ai.

From the original posting

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.

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.

  • 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.

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.

Standard company text repeated across Horizon3.ai's postings is omitted here.

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