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Kill Switch Engineer Jobs (NOW HIRING)

Young Presidents' Organization

Senior Product Manager

$129K - $170K/yr

... kill-switch-capable API boundary. Lead discovery sessions with data science, engineering, and product stakeholders to map agentic data flows, identify contract risks, and propose governed API-based ...

Young Presidents' Organization

Senior Product Manager

Irving, TX · On-site +1

$120K - $158K/yr

... kill-switch-capable API boundary. Lead discovery sessions with data science, engineering, and product stakeholders to map agentic data flows, identify contract risks, and propose governed API-based ...

Harley Ellis Devereaux

AI Platform Engineer

Boston, MA · On-site

$120K - $170K/yr

AI Platform Engineer HED is hiring an AI Platform Engineer to build durable, production-grade AI ... kill-switches to prevent runaway behavior. * Apply governance and access boundaries early ...

Apple

Senior ML Engineer - Client Experimentation

Cupertino, CA · On-site

$128K - $177K/yr

... kill-switches and forced-treatment overrides for client features, including safe ramp-up and fast rollback Fluency in programming languages like Java, Scala, Python and SQL Excellent communication ...

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Kill Switch Engineer information

What is a kill switch engineer?

A Kill Switch Engineer is responsible for designing, implementing, and maintaining emergency shutdown mechanisms for software, hardware, or network systems. These engineers ensure that critical systems can be safely and efficiently deactivated in case of security threats, software failures, or other emergencies. They work closely with cybersecurity teams, developers, and infrastructure engineers to integrate fail-safe mechanisms that protect data and infrastructure. Their role is crucial in industries like finance, defense, and telecommunications, where system integrity and security are top priorities.

What are the key skills and qualifications needed to thrive as a kill switch engineer?

To thrive as a Kill Switch Engineer, you need a strong background in cybersecurity, network engineering, and system architecture, often supported by a relevant degree such as computer science or information technology. Familiarity with intrusion detection systems (IDS), automated response tools, and certifications like CISSP or CEH is highly valued. Excellent troubleshooting skills, clear communication, and the ability to respond calmly under pressure are key soft skills for this position. These capabilities ensure swift, secure implementation of critical fail-safe mechanisms to protect organizational assets and maintain operational resilience.

What are some common challenges kill switch engineers encounter in their day-to-day roles?

Kill Switch Engineers often face the challenge of designing and maintaining fail-safe mechanisms that must work flawlessly under emergency conditions, requiring robust testing and rapid response capabilities. They regularly collaborate with security teams, network administrators, and IT leadership to ensure the kill switch functions as intended and meets evolving compliance standards. Engineers must also stay proactive in updating protocols to address emerging cyber threats and minimize the risk of accidental triggers. The dynamic nature of the field means adaptability and continuous learning are critical for success.

How much does a Kill Switch Engineer make?

The salary of a Kill Switch Engineer varies depending on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually. Professionals in cybersecurity or software engineering roles with specialized skills in safety systems or emergency shutdown protocols tend to earn higher salaries.
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Kill Switch Engineer jobs near you
Infographic showing various Kill Switch Engineer job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Nights. Highlights an 92% In-person, and 8% Remote job distribution.

Information Technology_USA - USA_Engineer

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 16 days ago

Job description

**Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES BETWEEN UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
Example: PTN_US_9999999_SKIPJOHNSON0413
: -
MSP Owner: Michelle Lee
Location: Dallas, TX / Hybrid
Duration: 6 months
skill id: 10892199
Summary
Build and scale a production multi-agent AI platform serving thousands of internal users across multiple business units. Monthly release cadence, real users, real latency, real cost.
What You'll Own
• LLM-driven orchestrator that routes user intent across a portfolio of specialized agents - delegation, memory, response validation, capability discovery.
• Agent selection layer - hybrid retrieval (vector RAG over a capability registry) plus closed-set LLM selection with JSON-schema-constrained outputs.
• Multi-agent SDK / gateway - FastAPI service hosting many agents behind path-prefix routing, per-agent tool registries, session-scoped conversational context.
• Tool-driven agents - 15-30 tools per agent composed dynamically by an LLM; owns tool contracts, guardrails, and evaluation.
• Data API layer - parameterized endpoints between agents and databases; LLMs never touch DBs directly.
• Partner-team onboarding - versioned A2A contract, bring-your-own-agent registration, auto re-embedding.
Core AI Engineering
• Production LLM systems: RAG, tool/function-calling loops, structured outputs, hallucination guards, closed-set selection.
• Multi-agent orchestration: A2A protocols, session affinity, human-in-the-loop gating, kill switches, graceful degradation.
• Vector search + embeddings at scale (sub-second retrieval over thousands of docs).
• Evaluation & safety: PII/PHI masking, audit trails, feedback-loop instrumentation, offline + online eval.
Platform / Infrastructure
• Python 3.11+, FastAPI, async I/O, Pydantic.
• Modern LLM stacks (Gemini, GPT, Claude) and agent frameworks (LangGraph, Agent SDKs).
• Cloud (GCP or AWS): Kubernetes, object storage, workflow orchestration, Vertex/Bedrock-class services.
• Redis, MongoDB, Oracle/Postgres, SSO + RBAC.
• Observability: Prometheus, structured JSON logs, per-decision audit trails, p95 latency SLOs in seconds.
Skills: Digital : Python~Digital : Machine Learning~Digital : Artificial Intelligence(AI)~Generative AI
Experience Required: 4-6

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