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Kill Switch Engineer Jobs (NOW HIRING)

Cna

Senior AI Software Engineer

Chicago, IL

$126K - $166K/yr

... kill-switches, canary patterns, and safe rollout strategies that protect production while enabling ... Mentor engineers across theDevXand App Acceleratorteams;act as a technical consultant for platform ...

Metropolitan Commercial Bank

AI Scientist

New York, NY · On-site

Define monitoring, drift thresholds, retraining triggers, and safe rollback/kill-switch procedures ... Partner with Engineering to integrate models via secure APIs/batch; ensure scalability, resiliency ...

Metropolitan Commercial Bank

AI Scientist

New York, NY · On-site

Define monitoring, drift thresholds, retraining triggers, and safe rollback/kill-switch procedures ... Partner with Engineering to integrate models via secure APIs/batch; ensure scalability, resiliency ...

Powerserve Technologies

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Apprentice Electrician - Instrumentation & Controls (I&C)

Naples, FL · On-site

$22 - $28/hr

Emergency stop (kill) switches * Limit switches * Float switches * Pressure switches * Assisting ... PLCs (Programmable Logic Controllers) * Industrial control circuits What We're Looking For Our ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll ... logs, kill switches) * Experience designing data platforms that non-data teams build self-serve ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll ... logs, kill switches) * Experience designing data platforms that non-data teams build self-serve ...

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Kill Switch Engineer information

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may require relevant certifications or advanced degrees, with compensation reflecting the complexity and impact of the work.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or cybersecurity can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often includes base salary, bonuses, and stock options, particularly in tech companies or startups with significant growth potential.

What are the key skills and qualifications needed to thrive in the Kill Switch Engineer position, and why are they important?

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or cybersecurity can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles often require advanced certifications, leadership responsibilities, or working in high-cost regions.

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.

What is a Kill Switch Engineer job?

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 jobs pay 2000 a day?

A Kill Switch Engineer typically does not earn $2000 a day; such high daily rates are more common in specialized consulting, executive roles, or freelance positions in fields like software development, cybersecurity, or project management. These roles often require advanced skills, certifications, and experience, and may involve contract or freelance work with high hourly or project-based pay. Most standard engineering roles pay less than this daily rate.
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Kill Switch Engineer jobs near you
Infographic showing various Kill Switch Engineer job openings in the United States as of June 2026, with employment types broken down into 5% Internship, 2% As Needed, 20% Full Time, 46% Part Time, 5% Temporary, and 22% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
AI Platform Engineer, Agentic Engineering

AI Platform Engineer, Agentic Engineering

Brainco

San Francisco, CA

Other

Medical, Dental, Vision, Retirement, PTO

Posted 22 hours ago

Job description

About Brain Co.
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy.
We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries.
Our progress so far:
  • Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value
  • Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses
  • Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work
Company momentum:
  • Raised a $55M Series A from leading investors
  • Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate.
We are looking for leaders who want to help bring new technology into institutions that impact millions of people.
About the role:
You'll join the team that builds and enables agentic workflows across Brain Co. For every engineer, operator, and business team internally, and for the production AI systems we deploy to governments, healthcare systems, and critical industries. This is a platform role at the center of the company's agent-first strategy: you'll build foundational systems used by every engineering team, and the bar is product-grade because the entire company depends on them.
What you'll work on:
  • Own the foundations of how LLMs are used across the company: cost visibility and controls, data privacy, identity and access, routing, and the security posture around all provider traffic.
  • Design the sandboxing, orchestration, audit, and guardrail layers that product teams build their agents on, so verticals don't need to invent their own abstraction.
  • Solve the hard problems: prompt-injection defenses, scoped credentials, kill switches, multi-tenant isolation (including VM-level pod isolation), and runaway-cost controls.
  • Design the orchestration, isolation, and resource models that make this viable: cold-start vs. always-on tradeoffs, credential and token lifecycle, fan-out and fan-in patterns, fairness and quota enforcement across tenants, and the observability needed to debug at that volume.
  • Make AI-assisted development a first-class platform layer: coding agents that review and ship code, automate CI, refactor at scale, and run as background workers across the codebase, together with the canonical scaffolding and guardrails that govern them.
  • Build the systems that let every team; engineering, operations, and the business, run their own agents reliably and safely against the tools they already use, with the right credentials, scheduling, memory, and audit underneath.
  • End-to-end ownership: architecture, implementation, rollout, observability, on-call, and iteration based on internal user feedback.
  • Partner closely with security, infrastructure, and product teams to make agent deployments safe by default.
You Might Be a Great Fit If You...
  • Have 5+ years building backend systems in production, with deep proficiency in at least one of Python, TypeScript, Go, or Rust.
  • Bring strong fundamentals in distributed systems: consistency, idempotency, retries, failure modes, queueing, scheduling.
  • Have designed and operated APIs and services that other engineers depend on.
  • Have a proven track record building shared infrastructure, internal platforms, or developer-facing services that real users adopted.
  • Have strong intuition for developer experience, long-term maintainability, and where to draw abstraction boundaries.
  • Are comfortable owning the full lifecycle: writing the design doc, shipping the MVP, hardening it, and driving adoption across the company.
  • Have owned services with real uptime and operational responsibility, and are comfortable with observability stacks, incident response, and SLOs.
  • Bring cloud-native experience: Kubernetes, infrastructure-as-code, OAuth/OIDC, secrets management.
Ways you might stand out:
  • Experience building or operating LLM infrastructure: gateways, inference systems, prompt routing, cost attribution, evaluation harnesses.
  • Experience with agent frameworks, tool-use systems, or sandboxed code execution.
  • Security instincts around prompt injection, supply-chain risk in agent ecosystems, and credential scoping for autonomous systems.
  • Background in multi-tenant, regulated, or government deployments (HIPAA, SOC2).
  • Open-source contributions to AI infrastructure, agent tooling, or developer platforms.
Why Join Us
  • Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more
  • Accelerate your career with ownership based on impact, not tenure
  • Earn competitive compensation + meaningful equity in a high-growth company
  • Thrive in a culture built on speed, curiosity, and impact
Benefits
  • Competitive salary plus equity
  • Daily lunches
  • Commuter benefits
  • 401(k)
  • Medical, Dental and Vision
  • Unlimited PTO

Apply