Remote Engineering Manager: Regulated Infra & FedRAMP

Snorkel AI

United States

Remote

USD 210,000 - 315,000

Full time

14 days+

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Benefits offered by this job

Equity (stock options)

Job summary

Snorkel AI is seeking a leader to guide an engineering team building the data-and-service infrastructure for regulated environments under our DaaS platform. You will define requirements for regulated customers, implement architecture changes, and deploy services end-to-end in secure environments.

You will collaborate with platform, security, and Applied AI teams to ensure compliant, auditable, and scalable solutions while maintaining strong engineering leadership and hiring practices for rapid

Qualifications

  • 6+ years of experience in software engineering, with strong hands-on technical depth.
  • 2+ years in an engineering management role, leading a team of engineers.
  • 2+ years experience hands-on experience deploying into government or other regulated cloud environments with isolated, air-gapped, or otherwise restricted networks.
  • Experience designing, building, and operating scaled systems in production in the cloud, including infrastructure-as-code, CI/CD, and containerized services.
  • Deep technical fluency: you can go deep in architecture and design reviews and propose meaningful changes, not just manage from a distance.
  • Experience with security-sensitive or regulated environment compliance (FedRAMP, NIST 800-53, CMMC, SOC 2, HIPAA, or similar).
  • Experience hiring, developing, and retaining strong engineers, ideally through rapid growth.
  • Clear communication with engineers, security and compliance partners, customers, and executives.

Responsibilities

  • Lead a team of engineers through a zero-to-one build: define the technical requirements of regulated customers, make the architecture changes needed, and deploy and operate our services in regulated environments end to end
  • Partner with the platform team to decide where we adapt for regulated infrastructure and where we stay identical to our commercial platform, so one product keeps moving forward across every environment
  • Build repeatable environment provisioning: infrastructure-as-code and CI/CD that promote releases from our commercial environments into regulated ones, with security scanning and change control built into the workflow
  • Partner with Security, Compliance, Product, and Applied AI to turn requirements (FedRAMP, NIST 800-53, CMMC, and customer-specific) into engineering work, with design decisions documented and audit-ready by default
  • Own operational outcomes for regulated environments: continuous monitoring, vulnerability management, incident response, and the evidence trail behind them
  • Work through the gaps between commercial and regulated infrastructure, and design alternatives where services or capabilities differ
  • Drive hiring in hypergrowth: build a strong bench and keep the bar high as the team scales
  • Coach and develop engineers and tech leads into owners who see problems beyond their own projects
  • Set clear priorities, plans, and delivery commitments, and rebalance quickly as company needs shift
  • Establish engineering standards for design reviews, testing, observability, and root cause analysis

Skills

6+ years of software engineering
Engineering management
Regulated cloud deployments
Infrastructure as code
CI/CD
Architecture & design reviews
Security compliance experience
Hiring & team development
Clear communication with stakeholders

Tools

Infrastructure as code
CI/CD pipelines
Containerized services

Job description

Snorkel AI is seeking a leader to guide an engineering team building the data-and-service infrastructure for regulated environments under our DaaS platform. You will define requirements for regulated customers, implement architecture changes, and deploy services end-to-end in secure environments.

You will collaborate with platform, security, and Applied AI teams to ensure compliant, auditable, and scalable solutions while maintaining strong engineering leadership and hiring practices for rapid

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