Staff Backend Engineer, Internal

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Staff Backend Engineer, Internal in USA new

Horizon3 AI
Full time
Email

USA
11/06/2026
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Remote

Responsibilities

Set architecture and technical direction for Python backend services and APIs.
Lead complex backend initiatives from definition and design through delivery and production operations across multiple engineering teams.
Design reliable distributed processing workflows with scheduling, retries, idempotency, state management, and failure recovery.
Design and operate high-throughput ETL pipelines that convert attack-team knowledge-graph output into queryable relational datasets.
Shape attack-path data models, GraphQL endpoints, graph-based APIs, and customer-facing data presentation patterns.
Optimize complex SQL and guide production database performance and correctness improvements.
Own observability, uptime, scalability, release readiness, and on-call practices for backend systems.
Drive cross-team architecture decisions, technical planning, design documentation, and stakeholder alignment.
Mentor and unblock engineers through design reviews, code reviews, and technical guidance.
Partner with frontend engineers, product managers, and designers to deliver clear user experiences for attack-path and assessment data.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
8+ years of professional software engineering experience using modern object-oriented or functional languages.
Demonstrated technical leadership on complex backend or data-platform initiatives across teams or stakeholders.
Experience designing, building, and operating production data-processing, ETL, or distributed task-processing systems at scale.
Hands-on experience with backend APIs, relational data models, and production SQL.
Experience building applications on AWS, Azure, or GCP and using container technologies such as Docker.
Experience with Python tooling including SQLAlchemy, versioned migrations, uv, ruff, mypy, and pytest.
Experience with workflow orchestration engines such as Temporal, Prefect, Airflow, or Celery.
Deep experience with GraphQL backends and graph databases such as Neo4j.
Experience with production observability, including metrics, alerting, and dashboards using tools such as Datadog, Prometheus, or OpenTelemetry.
Experience deploying containerized services in Kubernetes-based production environments.
Experience building platform capabilities or internal tooling used by multiple engineering teams.
Cybersecurity experience, particularly with internal attack, identity, privilege escalation, attack-path, or vulnerability data, is valued.
Strong prioritization, technical judgment, analytical problem-solving, communication, technical writing, and mentoring skills.

Benefits

Fully remote work, with up to 5% travel required.
Health, vision, and dental insurance for employees and families.
Flexible vacation policy and generous parental leave.
Equity package in the form of stock options for full-time roles.
Career development opportunities and an inclusive, collaborative work environment.
Hybrid and remote work models may vary by role and location, including the Chicago office.

Salary: $229k - $270k/yr

Horizon3 AI

Horizon3.ai answers the two most important questions in cybersecurity: If someone tried to compromise us, would we hold up? And, how do we withstand the onslaught of AI-powered attacks? Horizon3.ai’s NodeZero® shifts the advantage from attackers to defenders by giving organizations the power to f...

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