Summary
✨ AI‑Generated
A DevSecOps engineering position focused on deploying and securing scalable AI-driven platforms. The role involves automation, infrastructure management, secure delivery pipelines, and supporting flexible deployments across multiple industries.
Highlights
Work on scalable AI infrastructure with diverse deployment challenges, combining cloud engineering, security practices, and automation in a technology-focused environment.
Description
This jobs location is Austria, full remote work is not possible.
Satellite and drone imagery access is on the rise, and traditional image processing methods are struggling to keep up.
We’ve never had more data, and yet it’s never been harder to gain meaningful insights.
Our scalable AI platform enables custom model training on global features, providing real-time, on-demand geospatial insights with impressive speed and accuracy.
The application turns months of manual work into mere minutes, and with much better results.
We work with customers from various domains, from intelligence and defence, local and federal governments, insurance industry, to small and large enterprises, which requires us to have a lot of flexibility on how we deploy and secure our services.
We kicked off in 2020 and have secured $35 million in series A funding from a lineup of top US and European investors, among which Microsoft M12, Point72 Ventures, Maxar, In-Q-Tel, SAFRAN, and ISAI/Capgemini.
We're searching for a DevSecOps Engineer to join our Deployment team.
You'll own the security posture of our infrastructure and CI/CD pipelines across radically different environments: AWS for our SaaS offering, multi-cloud deployments for enterprise customers and self-managed customer deployments.
What you'll do
Embed security into the full engineering lifecycle — from code commit through production deploymentBuild and maintain automated security scanning integrated into our CI/CD pipelinesOwn secrets management, container hardening, and secure baseline configuration across cloud and on-prem environmentsSupport compliance and audit readiness for government and regulated customersDesign secure network architectures for cloud, hybrid, or on-prem deploymentsRespond to security incidents and vulnerability disclosures — triage, remediate, and documentCollaborate with product teams to catch security issues early in design
Your profile
Hands-on experience with container and Kubernetes security in production environmentsBackground working in or alongside regulated or government environmentsExperience integrating security tooling (SAST, DAST, secret scanning, image scanning) into CI/CD pipelinesStrong Linux system administration with the ability to harden hosts and debug security incidentsSolid understanding of networking, PKI, and secrets managementScripting proficiency in Python and BashClear communicator who can document findings for both technical and compliance audiences
Ideally:
Experience with deployments in regulated environmentsCompleted or participated in compliance, SOC, or ISO certificationFamiliarity with hardening OS, image builds, and Kubernetes distributionsKnowledge of GPU workload security for ML inference pipelinesExperience with OpenShift
Why join us
Unique security challenges: Few teams operate across SaaS, enterprise cloud, on-prem deployments — you'll solve problems most engineers never encounterStrategic impact: security posture is a direct revenue driver for our regulated customer expansion, enabling new customer segments and contract opportunitiesGrowth trajectory: Join ahead of our Series B as we scale the team and expand into new marketsStrong technical culture: Work alongside platform, ML, and GIS engineers on novel infrastructure challengesHealthy work-life balance with flexible working arrangementsCompetitive compensation with personalized benefits including learning opportunities, mental well-being programs, and healthcarePermanent employment: no B2B option possible
Tech Stack
Linux, Docker, Kubernetes (EKS, AKS, GKE)AWS, Azure, GCPTerraform, Helm, ArgoCDAzure DevOps, Prometheus, GrafanaElasticsearch, KibanaPython, Bash
In accordance with Austrian legislation, we are disclosing the minimum remuneration fixed for this position is : 60.000,--€ gross per year.
The effective salary depends on qualification and experience and may be significantly higher!