Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks — with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.

The Role You will build and lead the team responsible for the reliability, security, and scalability of Gensyn’s production infrastructure and developer platform. This is a hands-on engineering leadership role: you’ll manage and grow a high-performing Infrastructure / Platform / SRE / Security group while remaining technically deep across cloud systems, distributed systems, and operational excellence.

Critically, this role requires meaningful Ethereum / EVM experience, gained either by building an EVM-based protocol or working in a smart contract security/auditing environment.

Responsibilities

• Lead and grow a team of Infrastructure, Platform, DevOps/SRE, and Security Engineers: hiring, coaching, performance management, and execution.
• Own the availability, scalability, and security posture of production systems: SLOs/SLIs, incident response, postmortems, reliability improvements, and hardening.
• Drive delivery across ambiguous, high-stakes initiatives: roadmap planning, prioritization, and execution against tight timelines.
• Partner closely with CTO and technical leads to scope work, set expectations, communicate progress, and remove blockers.
• Build a strong engineering culture with high standards for operational rigor, security, and developer productivity.
• Establish and evolve internal tooling and platform capabilities that improve deployment velocity, safety, and observability.

Must Have (Required)

• 7+ years building and operating production infrastructure/platform/security systems with real operational ownership
• Proven people-management ownership: hiring, coaching, performance management, and leading an infra/platform/SRE/security team.
• Strong cloud systems + software engineering background; able to design systems and review production code.
• Deep hands-on experience with modern infrastructure practices and tooling such as Kubernetes, Terraform/IaC, CI/CD, and strong observability (metrics/logs/tracing).
• Demonstrated track record scaling distributed systems with measurable reliability and/or security outcomes
• Ethereum / EVM experience - preferred background in smart contract security / auditing or building at an EVM-based protocol (L2, DeFi protocol, EVM chain, core protocol/platform infrastructure).

Nice to Have

• Experience with distributed ML systems or GPU-heavy environments.
• Experience working closely with research teams or research-adjacent engineering.
• Founder or early-stage engineering leadership experience.
• Meaningful open source contributions.
• Formal verification, fuzzing, or advanced security testing experience in EVM contexts.

Our Principles Autonomy & Independence

• Don’t ask for permission - we have a constraint culture, not a permission culture.
• Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
• Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
• Communicate to be understood rather than pushing out information and expecting others to work to understand it.
• Stay a small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.

Rejection of mediocrity & high performance

• Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
• Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
• Don’t quit - push to the final outcome, despite any barriers.
• Be anti-fragile - balance short-term risk for long-term outcomes.
• Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.

Compensation / Benefits

Rejection of mediocrity & high performance

• Give direct feedback to everyone immediately - rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
• Embrace an extreme learning rate - rather than assuming limits to your ability / knowledge.
• Don’t quit - push to the final outcome, despite any barriers.
• Be anti-fragile - balance short-term risk for long-term outcomes.
• Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding.