Software Engineer, DevSecOps

Who we are  

Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems.  

The role  

You will join the Platform Engineering team as a security-focused engineer responsible for embedding security into every layer of our developer platform and software delivery pipeline. You will own the security posture of our development environment — ensuring CMMC Level 2 compliance, hardening our software supply chain, and implementing the controls required for product teams to achieve ATO against NIST and other cybersecurity frameworks. You will work closely with platform and product engineers to build secure CI/CD pipelines, enforce policy-as-code, and maintain the shared infrastructure that all teams depend on. This role combines hands-on engineering with deep security expertise: you are not just auditing compliance, you are building the systems that make compliance automatic.  

The day-to-day  

Deploying, updating, and securing Kubernetes workloads through ArgoCD and GitOps workflows  

Building and maintaining secure CI/CD pipelines that enforce policy, scan for vulnerabilities, and produce auditable build artifacts  

Maintaining and hardening shared services (GitLab, Artifactory, container registries) that the entire organization depends on  

Implementing and enforcing security controls aligned with CMMC L2, NIST 800-171, and other frameworks required for ATO  

Securing the software supply chain: image signing, SBOM generation, dependency scanning, and provenance tracking  

Conducting threat modeling to surface architectural risks before they become incidents  

Detecting, investigating, and responding to security incidents across infrastructure and applications  

Working with product teams to ensure their workloads meet security and compliance requirements before and after deployment  

Supporting the secure hosting of ML/AI workloads, including model training environments and sensitive data handling  

You should apply if you  

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, RBAC, pod and cluster security, and operational troubleshooting  

Are proficient with ArgoCD or similar GitOps tooling for managing Kubernetes workloads at scale  

Have strong experience writing and maintaining Helm charts  

Are 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, SBOM, and artifact signing  

Have hands-on experience implementing security controls from frameworks like NIST 800-171, NIST 800-53, or CMMC  

Are comfortable with CI/CD pipeline design, particularly building in security gates, policy-as-code, and automated compliance checks  

Have working knowledge of AWS and can collaborate effectively on infrastructure decisions  

U.S. citizenship required  

Nice to have  

Experience with Go or other systems programming languages  

Experience shepherding systems through an ATO process  

Familiarity with DISA STIGs and the Risk Management Framework (RMF)  

Familiarity with Terraform and infrastructure-as-code for cloud resources  

Experience with Nix or NixOS  

Experience with SIEM platforms (e.g., Elastic) and security monitoring/incident response  

Experience securing and deploying ML/AI workloads — GPU environments, training pipelines, data classification  

Red teaming or pen …