Platform Security Engineer (MTS) – Scale & APIs

Leadout Capital

San Francisco (CA)

On-site

USD 140,000 - 210,000

Full time

3 days ago
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Job summary

Leadout Capital is seeking an engineer to drive end-to-end development of security data pipelines and own system architecture for endpoint protection platforms. You will craft SDRs/ADRs, improve API services, and raise platform reliability while mentoring teammates and collaborating across security and platform teams.

The role emphasizes scalable design, on-call readiness, and the use of AI-assisted tooling to accelerate delivery across multi-language stacks.

Qualifications

  • 2+ years of core software development experience with mastery in multiple programming languages and platforms.
  • Strong foundation in database engineering, API development, and data pipeline construction, including experience with event-driven architectures, and distributed systems
  • Demonstrated ability to craft and deliver large, sophisticated projects across the full software lifecycle, including experience with products released for public consumption across multiple releases.
  • Proven experience with infrastructure hardening and operational reliability (alerting, availability monitoring, MTTR reduction).
  • Ability to design systems at scale including experience with architecture reviews, design documentation, and cross-team alignment; experience working with engineering teams, architects, and executive leadership to craft architectural vision and roadmap.
  • Develops technical performance architecture that solves the most complex performance and scalability challenges, with the ability to drive long-term design strategies spanning multiple complex projects.
  • Strong engineering process discipline: PR reviews, design reviews, sprint execution, and documentation; experience with Agile/Scrum methodologies and short release cycles
  • Ability to provide mentorship to team members, supporting their understanding of architecture and aiding in their technical growth
  • Skilled at fostering cross-functional technical collaboration to surface, upscale, and resolve critical issues effectively.
  • Ability to deliver technical reports and performance presentations to customers and at industry events
  • A related technical degree required

Responsibilities

  • End-to-end software development across security data pipelines.
  • Own system architecture for endpoint protection platforms, including authoring SDRs and ADRs.
  • Drive platform reliability through availability monitoring strategies, alerting frameworks, and infrastructure hardening.
  • Design and build APIs and services including REST API optimization, policy evaluation engines, integration adapter registries, and projection/aggregation services.
  • Set engineering standards across the team for code quality, design consistency, and documentation practices.
  • Mentor and guide other engineers on team through PR reviews, sprint planning, and technical deep dives.
  • Collaborate cross-functionally with security architects, platform teams, and partner engineering orgs to ensure clean system integration and dependency alignment
  • Support on-call operations on a rotating schedule, including flexibility for major incidents across time zones.
  • Leverage AI-assisted development tools to accelerate delivery, enforce engineering rigor, and support multi-language development.

Skills

Software development
Database engineering
API development
Event-driven
Distributed systems
Architecture reviews
Mentorship
Agile/Scrum
System architecture
Security collaboration
AI-assisted tools

Education

Related technical degree

Job description

Leadout Capital is seeking an engineer to drive end-to-end development of security data pipelines and own system architecture for endpoint protection platforms. You will craft SDRs/ADRs, improve API services, and raise platform reliability while mentoring teammates and collaborating across security and platform teams.

The role emphasizes scalable design, on-call readiness, and the use of AI-assisted tooling to accelerate delivery across multi-language stacks.

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