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Helsing

AI software and autonomous defense systems

Software Engineer - DevSecOps

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listedHybrid

About the Job

Requirements

  • Have 5+ years of experience in DevSecOps, security engineering, or infrastructure engineering with a security focus.
  • Have a Bachelor's degree in Computer Science, Engineering, Cybersecurity, or a related field.
  • Have deep experience with Kubernetes deployment, networking, role-based access control, pod and cluster security, and operational troubleshooting.
  • Be proficient with ArgoCD or similar GitOps tooling for managing Kubernetes workloads at scale.
  • Have strong experience writing and maintaining Helm charts.
  • Be proficient in Python and Bash, with experience automating security and compliance workflows.
  • Understand software supply chain security, including container image hardening, FIPS-validated cryptography, vulnerability scanning, software bills of materials, and artifact signing.
  • Have hands-on experience implementing security controls from frameworks like NIST 800-171, NIST 800-53, or CMMC.
  • Be comfortable with CI/CD pipeline design, particularly building in security gates, policy-as-code, and automated compliance checks.
  • Have working knowledge of AWS and be able to collaborate effectively on infrastructure decisions.
  • Be a U.S. citizen.

Responsibilities

  • Deploy, update, and secure Kubernetes workloads through ArgoCD and GitOps workflows.
  • Build and maintain secure CI/CD pipelines that enforce policy, scan for vulnerabilities, and produce auditable build artifacts.
  • Maintain and harden shared services, including GitLab, Artifactory, and container registries, that the organization depends on.
  • Implement and enforce security controls aligned with CMMC Level 2, NIST 800-171, and other frameworks required for authorization to operate.
  • Secure the software supply chain through image signing, software bills of materials generation, dependency scanning, and provenance tracking.
  • Conduct threat modeling to surface architectural risks before they become incidents.
  • Detect, investigate, and respond to security incidents across infrastructure and applications.
  • Work with product teams to ensure their workloads meet security and compliance requirements before and after deployment.
  • Support secure hosting of machine-learning and artificial-intelligence workloads, including model training environments and sensitive data handling.

Desired Qualifications

  • Have experience with Go or other systems programming languages.
  • Have experience shepherding systems through an authorization-to-operate process.
  • Be familiar with DISA Security Technical Implementation Guides and the Risk Management Framework.
  • Be familiar with Terraform and infrastructure-as-code for cloud resources.
  • Have experience with Nix or NixOS.
  • Have experience with security information and event management platforms, such as Elastic, and security monitoring and incident response.
  • Have experience securing and deploying machine-learning and artificial-intelligence workloads, including GPU environments, training pipelines, and data classification.
  • Have red teaming or penetration testing experience.
  • Have certifications such as CKS, Security+, or CISSP.
  • Have experience in defense, intelligence, or other regulated environments.

About the Company

Helsing

AI software and autonomous defense systems

Helsing develops AI software and autonomous systems for democratic governments, covering air, land, sea, and sub-surface domains. Its software combines data from drones, radar, satellites, cameras and other sensors to create a real-time operational picture that helps commanders detect threats and move quickly, while keeping key decisions under human control. Its product lineup includes AI-enabled strike drones (HF-1 / HX-2) for contested environments and underwater surveillance systems (SG-1 Fathom) for critical infrastructure. Helsing collaborates with European armed forces and partners such as Saab, Airbus and Kongsberg, and has supported Ukraine since 2022. The company has raised large rounds of funding, with a focus on expanding AI platforms and autonomous systems for partner nations. Its goal is to provide robust, field-ready AI-powered platforms that enable faster, safer decision-making and action in defense while maintaining governance over critical choices.

Company size
501-1,000
Company stage
Series E
Total funding
$3.3B
Headquarters
Munich, Germany
Founded
2021

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