DevSecOps Engineer - Deployment Team
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- Work arrangement
- hybrid
- Employment
- Full-time
- Stated compensation
- Not specified
- Stated sponsorship
- Not stated
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Requirements
2 with evidence7 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Geographic scope
- AT
“This jobs location is Austria, full remote work is not possible.”
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- Full-time
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
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- Citizenship requirement
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- Minimum experience (years)
- Not specified
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Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
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.
Show less description
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 deployment
Build and maintain automated security scanning integrated into our CI/CD pipelines
Own secrets management, container hardening, and secure baseline configuration across cloud and on-prem environments
Support compliance and audit readiness for government and regulated customers
Design secure network architectures for cloud, hybrid, or on-prem deployments
Respond to security incidents and vulnerability disclosures — triage, remediate, and document
Collaborate with product teams to catch security issues early in design
Your profile
Hands-on experience with container and Kubernetes security in production environments
Background working in or alongside regulated or government environments
Experience integrating security tooling (SAST, DAST, secret scanning, image scanning) into CI/CD pipelines
Strong Linux system administration with the ability to harden hosts and debug security incidents
Solid understanding of networking, PKI, and secrets management
Scripting proficiency in Python and Bash
Clear communicator who can document findings for both technical and compliance audiences
Ideally:
Experience with deployments in regulated environments
Completed or participated in compliance, SOC, or ISO certification
Familiarity with hardening OS, image builds, and Kubernetes distributions
Knowledge of GPU workload security for ML inference pipelines
Experience 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 encounter
Strategic impact: security posture is a direct revenue driver for our regulated customer expansion, enabling new customer segments and contract opportunities
Growth trajectory: Join ahead of our Series B as we scale the team and expand into new markets
Strong technical culture: Work alongside platform, ML, and GIS engineers on novel infrastructure challenges
Healthy work-life balance with flexible working arrangements
Competitive compensation with personalized benefits including learning opportunities, mental well-being programs, and healthcare
Permanent employment: no B2B option possible
Tech Stack
Linux, Docker, Kubernetes (EKS, AKS, GKE)
AWS, Azure, GCP
Terraform, Helm, ArgoCD
Azure DevOps, Prometheus, Grafana
Elasticsearch, Kibana
Python, 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!
Original formatting and links
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.
Embed security into the full engineering lifecycle — from code commit through production deployment
Build and maintain automated security scanning integrated into our CI/CD pipelines
Own secrets management, container hardening, and secure baseline configuration across cloud and on-prem environments
Support compliance and audit readiness for government and regulated customers
Design secure network architectures for cloud, hybrid, or on-prem deployments
Respond to security incidents and vulnerability disclosures — triage, remediate, and document
Collaborate with product teams to catch security issues early in design
Hands-on experience with container and Kubernetes security in production environments
Background working in or alongside regulated or government environments
Experience integrating security tooling (SAST, DAST, secret scanning, image scanning) into CI/CD pipelines
Strong Linux system administration with the ability to harden hosts and debug security incidents
Solid understanding of networking, PKI, and secrets management
Scripting proficiency in Python and Bash
Clear communicator who can document findings for both technical and compliance audiences
Ideally:
Experience with deployments in regulated environments
Completed or participated in compliance, SOC, or ISO certification
Familiarity with hardening OS, image builds, and Kubernetes distributions
Knowledge of GPU workload security for ML inference pipelines
Experience with OpenShift
Unique security challenges: Few teams operate across SaaS, enterprise cloud, on-prem deployments — you'll solve problems most engineers never encounter
Strategic impact: security posture is a direct revenue driver for our regulated customer expansion, enabling new customer segments and contract opportunities
Growth trajectory: Join ahead of our Series B as we scale the team and expand into new markets
Strong technical culture: Work alongside platform, ML, and GIS engineers on novel infrastructure challenges
Healthy work-life balance with flexible working arrangements
Competitive compensation with personalized benefits including learning opportunities, mental well-being programs, and healthcare
Permanent employment: no B2B option possible
Linux, Docker, Kubernetes (EKS, AKS, GKE)
AWS, Azure, GCP
Terraform, Helm, ArgoCD
Azure DevOps, Prometheus, Grafana
Elasticsearch, Kibana
Python, 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!
What you'll do
Your profile
Why join us
Tech Stack
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