AdTechTalent
Engineering4 days agoOn-site

The Trade Desk

Lead Senior Software Engineer - Platform Security

securityplatform securitydistributed systemsauthenticationauthorizationidentityinfrastructure as codecloudKubernetesmachine learningAIC#JavaC++SREIAMDevOps

Key details

Salary

$125K – $229K

Employment type

Full-time

Seniority

Lead

Years experience

5-10

Location

New York, US

Full job description

The Trade Desk is seeking a Lead/Senior Software Engineer for the Platform Security team in New York. The role involves leading design, implementation, and evolution of large-scale security services including authentication, authorization, identity, and secure access systems. Responsibilities include architectural decision-making, driving engineering best practices, mentoring engineers, incident response, and contributing to AI-driven security initiatives. Candidates should have 7+ years of experience in high-scale environments, strong object-oriented programming skills (C#, Java, C++), experience with distributed systems, infrastructure as code, and operational excellence. Familiarity with Kubernetes, cloud platforms, IAM systems, and security or site reliability engineering is a plus. Benefits include comprehensive healthcare, retirement plans, disability coverage, life insurance, tuition reimbursement, parental leave, paid sick and vacation time, paid holidays, stock purchase plans, and performance-based stock compensation. Salary range is $124,900 to $228,900 USD.

What you'll do

  • Lead the design, implementation, and long-term evolution of large-scale security services from architecture through production operations
  • Own complex, cross-cutting initiatives spanning authentication, authorization, identity, and secure access
  • Make and influence architectural decisions balancing security, reliability, scalability, and developer experience
  • Drive high-quality engineering practices including testing, observability, operational readiness, and incident response
  • Build and maintain shared libraries and frameworks that standardize authentication, authorization, and security best practices across the company
  • Partner closely with engineers, SREs, and stakeholders across teams to deliver secure-by-default platforms
  • Mentor and guide other engineers through code reviews, design discussions, and technical leadership
  • Participate in on-call rotations and lead incident response for security-critical systems
  • Help shape future-looking initiatives including AI-driven systems that reason about security posture, model architecture, and surface risk automatically
  • Operate comfortably in ambiguity and drive outcomes impacting the broader platform

Requirements

  • 7+ years of established experience in a high scale environment that values infrastructure as code capabilities
  • Previous Lead experience is desired
  • Significant professional experience building and operating production systems using an object-oriented language such as C#, Java, C++, or similar
  • Proven experience designing and delivering distributed systems at scale
  • Strong experience deploying and operating services using infrastructure-as-code and automated deployment pipelines
  • Deep understanding of system reliability, observability, and operational excellence
  • Experience leading technical design and influencing architecture across teams
  • Strong communication and collaboration skills, with a track record of mentoring other engineers
  • Bachelor’s/Master’s degree in computer science or relevant engineering field or equivalent experience
  • Nice to have: Experience designing or operating identity and access management (IAM) systems
  • Nice to have: Familiarity with Kubernetes, cloud platforms, or hybrid infrastructure at scale
  • Nice to have: Background in security engineering or site reliability engineering
  • Nice to have: Interest in applying automation or AI to improve security posture and resilience

Tech stack

C#JavaC++KubernetesAzureAWSAliyunSPIFFESPIREinfrastructure as codeautomated deployment pipelinesmachine learningAI

Benefits

Comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependentsRetirement benefits such as a 401k plan and company matchShort and long-term disability coverageBasic life insuranceWell-being benefitsReimbursement for certain tuition expensesParental leaveSick time of 1 hour per 30 hours workedVacation time for full-time employees up to 120 hours in the first year and 160 hours thereafterAround 13 paid holidays per yearEmployee Stock Purchase Plan with discounted stock purchaseStock-based compensation grants based on company and individual performanceVariable compensation-based incentives and commissions depending on role

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