Prepin
Log in
DigiCert

engineering opportunity

Senior Backend Engineer - Security

You will build the core security infrastructure for AI agents, ensuring that every action taken is secure and verifiable. This includes architecting a cryptographically secure identity system and developing high-performance systems for real-time control of agent interactions.

Sunnyvale, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at DigiCert?

Who we are

DigiCert is a global leader in intelligent trust. We protect the digital world

by ensuring the security, privacy, and authenticity of every interaction. Our

AI-powered DigiCert ONE platform unifies PKI, DNS, and certificate lifecycle

management, to secure infrastructure, software, devices, messages, AI content

and agents. Learn why more than 100,000 organizations, including 90% of the

Fortune 500, choose DigiCert to stop today’s threats and prepare for a

quantum-safe future at www.digicert.com [http://www.digicert.com/]

Job summary

We are building the trust layer for the agentic future. As AI agents move from

simple chatbots to autonomous workloads with access to sensitive enterprise

data, the industry lacks a standard for Identity, Authentication, and

Governance. You will build the core security infrastructure that defines how

agents are identified and controlled. Our mission is to build a "Zero Trust"

architecture for AI—ensuring that every action an agent takes is

cryptographically verifiable, authorized, and safe. You will be instrumental in

setting our technical culture, selecting our stack, and scaling a platform that

will secure the next generation of enterprise AI.

What you will do

  • * As part of the engineering team, you’ll work alongside industry-leading
  • cryptographers, AI/ML innovators, cloud infrastructure experts, and security
  • engineers who are defining the future of secure digital interactions.
  • * Architect and build the Identity Foundation: Design and own a
  • cryptographically secure identity system that serves as the "source of truth"
  • for all AI workloads, ensuring every agent has a verifiable and tamper-proof
  • digital passport.
  • * Build Runtime Enforcement: Develop high-performance systems to control
  • agentic interactions in real-time. You will ensure that agents operate
  • strictly within their authorized boundaries without introducing latency.
  • * Define Governance Logic: Create the engines that translate complex human
  • policies into machine-executable rules, controlling how agents access tools,
  • databases, and LLMs.
  • * Design for Resilience and Scale: Build "secure-by-default" infrastructure
  • that can handle thousands of concurrent autonomous agents across multi-cloud
  • environments, ensuring the system remains tamper-proof.
  • * Shape the Technical Culture: You will select our core stack, define our
  • engineering standards, and help build the team.
  • What you will have
  • * Systems Mastery: Deep experience building mission-critical distributed
  • systems. You are a master of systems-level languages (like Go or Rust) and
  • you have built distributed high performance systems from ground up.
  • * Identity & Security Infrastructure: Hands-on experience with SPIFFE/SPIRE,
  • PKI, and mTLS. You understand certificate lifecycle management, OIDC, and
  • OAuth2 at a protocol level.
  • * Cloud-Native Networking: Expert-level knowledge of Kubernetes (K8s) You have
  • worked extensively with Envoy Proxy, Service Meshes (Istio/Linkerd), and Open
  • Policy Agent (OPA).
  • * Cloud & DevOps: Experience deploying and securing production workloads on
  • AWS, GCP, or Azure. You are comfortable with Infrastructure as Code
  • (Terraform)
  • * You have a "bias for shipping" and are comfortable building CI/CD pipelines
  • and observability stacks (Prometheus/Grafana) from scratch.
  • * AI Experience (Desirable): Prior experience or a strong interest in working
  • with AI Agents (LangGraph, CrewAI, AutoGen), LLM APIs (OpenAI, Anthropic),
  • and the Model Context Protocol (MCP).

Benefits

* Competitive compensation and comprehensive health, dental, and vision

coverage

* Retirement savings programs with company matching (401(k) or RRSP)

* Generous paid time off, including holidays, and vacation

* Paid parental leave and family support benefits

* Life and disability coverage

* Flexible spending and health savings options (where applicable)

* Health and wellness support, including gym reimbursement and wellness

programs

* Employee Assistance Program with 24/7confidential support for employees and

families

* Education assistance and professional development opportunities

* Access to LinkedIn Learning and continuous learning resources

* Employee referral bonus program and additional company perks and discounts

* Internal rewards and recognition platform (Motivosity) to celebrate and

acknowledge project wins, milestone achievements, and the outstanding

contributions of our colleagues

* Business travel insurance and global employee support programs

To protect candidate information and maintain a secure hiring process, all

applications must be submitted through our careers portal. Resumes or CVs sent

directly via email will not be reviewed or considered.

DigiCert is an Equal Opportunity employer and is committed to diversity in its

workforce. In compliance with applicable federal and state laws, DigiCert

prohibits discrimination on the basis of race or ethnicity, religion, color,

national origin, sex, age, sexual orientation, gender identity/expression,

veteran’s status, status as a qualified person with a disability, or genetic

information. Individuals from historically underrepresented groups, such as

minorities, women, qualified person with disabilities, and protected veterans

are strongly encouraged to apply.

#LI-RR1

Salary range $150,000-$175,000 (actual salary offered to a candidate within this

range will depend on a variety of factors including relative levels of

experience and education, years in this or essentially similar role, market

competition, etc.)

Compensation

Transparency:

The annualized base salary range for this position is outlined below.

Each candidate’s compensation offer will be determined based on factors

including experience, skills, qualifications, job duties, business needs, and

location. For roles that include additional compensation components, total

compensation may include base pay, bonus, equity, or other incentives.

This role may also be eligible for benefits, which will be discussed during the

hiring process. We are committed to fair and transparent pay practices

and comply with all applicable pay transparency requirements. If you would like

more information about compensation or benefits, we are happy to

provide additional details during the hiring process.

For more information regarding our comprehensive benefits, see the benefits

section.

Base Salary

$150,000—$175,000 USD

Which skills does this role require?

Systems MasteryIdentity & Security InfrastructureCloud-Native NetworkingCloud & DevOpsAI ExperienceAICryptographyAuthenticationGovernanceZero TrustDistributed SystemsGoRustSPIFFESPIREPKImTLSOIDCOAuth2KubernetesEnvoy ProxyService MeshesIstioLinkerdOpen Policy AgentAWSGCPAzureInfrastructure as CodeTerraformCI/CDPrometheusGrafanaMachine LearningLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.