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Divergent Technologies

End-to-end software-hardware digital manufacturing system

DevSecOps Engineer

DevOps EngineeringUpdated on Nov 14
Full-timeTorrance, CA, USA

About the Job

Requirements

  • Must be a U.S. Person as defined by the International Traffic in Arms Regulations (22 CFR §120.62), meaning a U.S. citizen, lawful permanent resident, or other protected individual.
  • Must have 5–10 years of professional experience in DevOps, platform, site reliability, security, or software engineering, including at least 3 years directly responsible for securing CI/CD pipelines or cloud infrastructure.
  • Must have a bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related technical field, or equivalent demonstrated experience.
  • Must have production experience with at least one major cloud provider (Azure or AWS), including identity and access management, networking, and logging services.
  • Must have hands-on experience building and maintaining pipelines in a modern CI/CD system such as GitHub Actions, GitLab CI, Azure Pipelines, or Jenkins.
  • Must be proficient with infrastructure as code tools such as Terraform, Bicep, CloudFormation, or Pulumi, with changes managed through version control and peer review.
  • Must have working knowledge of Docker and Kubernetes, including image hardening and cluster access control.
  • Must be able to automate and script in Python, Go, Bash, or PowerShell to build internal tooling and integrate vendor APIs, not solely configure existing tools.
  • Must have practical experience integrating and operating application security tooling such as Blackduck or Rapid7, including static application security testing, software composition analysis, secrets scanning, image scanning, and triage.
  • Must understand least privilege, network segmentation, key management, OAuth 2.0, OIDC, SAML, and common vulnerability classes such as the OWASP Top 10.
  • Must have experience with Git-based team workflows, code review, and branch protection.
  • Must be able to explain security risks and engineering tradeoffs to technical and non-technical audiences.
  • Must maintain U.S. Person status for continued access to export-controlled technical data.

Responsibilities

  • Design, build, and maintain CI/CD pipelines with automated security gates for static analysis, software composition analysis, secrets detection, container image scanning, and infrastructure-as-code policy checks; ensure the gates fail fast and produce actionable findings.
  • Provision and manage cloud infrastructure as code across Azure and AWS environments, enforcing configuration standards through policy as code rather than manual review.
  • Harden container and Kubernetes workloads, including base image lifecycle, admission control, runtime policy, network segmentation, and least-privilege workload identity.
  • Own secrets management and pipeline authentication, including vaulted credentials, short-lived tokens, and federated identity, and drive elimination of long-lived static keys.
  • Triage and prioritize vulnerability findings across source code, third-party dependencies, container images, and cloud posture; partner with engineering owners to drive remediation to closure against defined service levels.
  • Build and maintain software supply chain controls, including dependency and lockfile hygiene, artifact signing and provenance, and software bill of materials generation and distribution.
  • Instrument delivery and runtime environments for security observability by defining detections, dashboards, and alerting, and participate in response to pipeline and infrastructure incidents.
  • Automate cloud security posture assessment and remediation across accounts and subscriptions, covering identity, network, logging, and encryption baselines.
  • Support control mapping and audit evidence collection for applicable frameworks, favoring automated evidence generation over manual attestation.
  • Raise other engineers' security baseline through reusable pipeline templates, documented golden paths, code review, and hands-on mentoring.
  • Participate in a shared on-call rotation for pipeline and infrastructure incidents.
  • Work primarily in office and laboratory settings, with periodic time on the manufacturing floor where personal protective equipment is required.
  • Work occasional after-hours deployment windows, maintenance, and security incident response.

Desired Qualifications

  • Experience in an export-controlled or otherwise regulated environment, such as ITAR/EAR, CMMC, or NIST SP 800-171, or in aerospace, automotive, or advanced manufacturing.
  • Exposure to manufacturing or operational technology systems, including securing build, test, or production-floor systems that cannot tolerate unplanned downtime.
  • Software supply chain security experience with SBOM tooling such as Syft, CycloneDX, or SPDX; artifact signing such as Sigstore/cosign; SLSA provenance; or platforms such as Black Duck, Snyk, or Dependency-Track.
  • Policy-as-code experience with Open Policy Agent/Rego, Kyverno, Conftest, Checkov, or cloud-native policy engines.
  • Kubernetes security depth, including admission controllers, service mesh mTLS, and runtime detection tooling such as Falco or Tetragon.
  • Secrets platform experience with HashiCorp Vault, Azure Key Vault, or AWS Secrets Manager, including dynamically issued credentials.
  • Detection engineering or SIEM experience with Microsoft Sentinel, Splunk, or Elastic, including log pipeline design and tuning.
  • Threat modeling experience and familiarity with the MITRE ATT&CK framework.
  • Observability tooling experience with Prometheus, Grafana, OpenTelemetry, or Datadog.
  • Relevant certifications such as CISSP, CCSP, CKS, GIAC (GCSA, GCLD, GWAPT), or a cloud provider security specialty.
  • Contributions to internal developer platforms, golden-path templates, or open-source security tooling.

About the Company

Divergent Technologies

End-to-end software-hardware digital manufacturing system

Divergent Technologies builds an end-to-end production system for digital manufacturing that combines software and hardware. Its Divergent Adaptive Production System (DAPS) lets clients design parts, 3D print them, and automatically assemble complex structures for sectors like automotive, aerospace, and defense. The system works by letting users optimize designs, reduce material use, and manufacture without large upfront capital investments, using modular production to speed up innovation and lower environmental impact. Divergent differentiates itself by offering a fully integrated, scalable workflow that goes from digital design to finished parts in one system, enabling faster iterations and sustainable manufacturing. The company’s goal is to change how complex structures are built in manufacturing, delivering scalable efficiency and greener production practices.

Company size
501-1,000
Company stage
Series E
Total funding
$1B
Headquarters
Los Angeles, CA
Founded
2014

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