Lead Security Engineer

AngelList, LLC; New York (NY); Híbrido; USD 216 000 - 264 000; Tempo integral

Resumo da oferta

AngelList, LLC is seeking a hands-on security engineer to design and build security into our infrastructure: a unified identity and access layer, cloud security, automated provisioning, and the guardrails that let teams move fast. You will collaborate with Infrastructure, Engineering, IT and Product to roll these systems out.

We want someone who sees AI as a way to improve security engineering, moving beyond triage to autonomous remediation.

Qualificações

• 7+ years in security engineering, cloud security, or identity with hands-on AWS/GCP experience.
• Write automation and internal tooling to solve security problems, not rely on products.
• Influenced security changes across teams via tooling and influence.
• Proficient in infrastructure-as-code, CI/CD, and DevOps security controls.
• Think in systems; fix root causes, not individual findings.
• Experience with AI-enhanced security solutions and decision making.

Responsabilidades

• Own AngelList’s security foundations across AWS, IAM, and secrets management.
• Design guardrails for infrastructure-as-code, CI/CD, and developer workflows to make secure defaults automatic.
• Build scalable IAM and least-privilege models across employees, services, and machine identities.
• Develop security tooling and automation, leveraging AI to improve decision quality and remediation.
• Address platform- and architecture-level security risks and contribute to threat modeling and secure design.

Conhecimentos

AWS security architecture

IAM

DevOps / IaC

Automation tooling

AI for security

Descrição da oferta de emprego

About AngelList

Private markets are the new public markets. The most important companies of this era are private, and almost no one can own them. What's missing is the financial system public markets spent a century building: exchanges, custodians, brokers, and ways for ordinary people to buy in. Private markets, now $28T, never had the equivalent. AngelList is building it.

The last decade of structural innovation in venture happened here: syndicates, SPVs at scale, Rolling Funds, scout programs. Today we have $200B+ in assets and 30,000+ startups funded on our platform. The rest of private markets is next. Funds is the software and services behind private funds, Nova is the banking network, Meridian is the wealth platform for accredited investors, and USVC is the brand behind a registered fund that lets anyone invest in venture.

Working here means an unusual amount of agency on a problem that matters. Titles are closer to suggestions, and there are about 200 of us building what private markets never had. Come build it with us.

About The Role

The strongest security programs are built by designing systems where the secure path is the easiest path. We're hiring someone to build those systems.

You'll be a hands-on engineer who designs and builds the systems that make security a property of our infrastructure: a unified identity and access layer, cloud security, automated provisioning and revocation, and the guardrails that let teams ship fast. You will work directly with Infrastructure, Engineering, IT, and Product to roll them out.

We want someone who sees AI as a way to change how security engineering operates. Instead of triaging alerts faster, this person will work toward systems that understand context, make decisions, and remediate autonomously. You’ll report to the Head of Security, on a small team with a large scope.

Responsibilities

• Own AngelList’s security foundations across AWS infrastructure, identity, access control, authentication, authorization, and secrets management.
• Design and build security architecture and guardrails into infrastructure-as-code, CI/CD, and developer workflows so secure defaults are automatic.
• Build IAM systems and least-privilege access models that scale across employees, services, and machine identities — including access reviews and privileged access.
• Write security tooling and automation that finds weaknesses and remediates them without human intervention, harnessing AI where it raises decision quality.
• Solve security risks at the platform and architectural level, and contribute to application security through threat modeling, secure design, and vulnerability remediation.

You May Be a Good Fit If You Have

• 7+ years across security engineering, cloud security, infrastructure security, or identity — including deep hands-on AWS/GCP security architecture and IAM.
• Write real software. You build automation and internal tooling to solve security problems rather than relying on commercial products, and you know when buying is the better call.
• Have driven security changes across engineering teams that didn't report to you, through influence and better tooling rather than mandates.
• Fluent in infrastructure-as-code, CI/CD, and modern DevOps. You have shipped security controls into engineering platforms that developers actually adopted.
• Reason about systems, not findings. You spot systemic weaknesses and fix the class of problem rather than the instance.
• Built something with AI that changed how you work and have opinions about where human judgment still belongs.

Working Here

If you don’t meet every requirement above, we still encourage you to apply. We value complementary strengths and operators who learn by doing.

AngelList has offices in a few cities, with our engineering hub in San Francisco.

We’re building our engineering and product teams around this hub to make the most of in-person collaboration. We have a hybrid in-office model: teammates come in at least 2 days per week (Tuesdays and either Wednesday or Thursday). Strong preference for SF; may consider NYC.

Compensation

The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $240,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process.

Benefits

We support your life both in and outside of work. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.