Senior Backend Engineer – Autonomous Defense

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and maintain the agent execution runtime featuring durable, resumable, long-term workflows, checkpointing, idempotent actions, cancellation, and timeouts at both step and run levels.

• Create and implement the agent tool layer with functionalities like version control, schema validation, per-tenant enablement, and server-side authorization.

• Establish the connector framework for integration with third-party security control planes, including EDR, firewalls, identity management, SIEM, and cloud IAM.

• Implement a safe-change pipeline that includes features such as dry runs, simulations, blast-radius classification, approval gates, staged rollouts, rollbacks, and immutable per-tenant audit trails.

• Enhance tenant isolation for agents performing write actions by defining execution boundaries, egress controls, quotas, and preventing cross-tenant data leakage.

• Design and develop ETL and GraphQL product features for data processing and retrieval, supporting agent context, run history, and remediation state.

• Construct ETL pipelines that transform pentest and remediation results into training and evaluation datasets.

• Incorporate distributed tracing, cost and token accounting per tenant, and tools to elucidate agent decisions during agent runs.

• Collaborate with AI researchers, attack engineers, and product teams to transition capabilities from prototype to production while communicating platform constraints to research.

⛳️ Requirements

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

• Over 7 years of professional software engineering experience utilizing modern object-oriented or functional languages such as Python, Go, Scala, C++, or TypeScript.

• Proven experience in building applications on AWS, Azure, or GCP.

• Proficiency in Docker and Kubernetes.

• Expert-level knowledge of SQL.

• Experience in designing and managing distributed systems in production, encompassing asynchronous workflows, queues, retries, idempotency, and handling partial failures.

• A history of delivering and managing production services, including on-call responsibilities.

• Experience with agentic or LLM-backed systems in a production setting.

• Familiarity with durable execution or workflow engines, such as Temporal, or equivalent self-developed checkpointing mechanisms.

• Experience in creating multi-tenant platforms with stringent isolation requirements, workload identity, and short-lived credential brokering.

• Skills in integrating third-party APIs behind a normalized abstraction.

• Knowledge of security control planes and APIs, including EDR, firewalls, SIEM, and cloud IAM.

• Experience with PostgreSQL, Neo4j, and GraphQL backends.

• Familiarity with monitoring tools such as Datadog, Prometheus, Grafana, and distributed tracing.

• Awareness of prompt injection and handling untrusted inputs.

• Authorization to work in the United States.

🏝️ Benefits

• Equity package in the form of stock options for all full-time positions.

• Health, vision, and dental insurance for you and your family.

• Flexible vacation policy.

• Generous parental leave.

• Opportunities for career development.

• An inclusive and collaborative work culture.

• Options for remote and hybrid work models based on role and location.