Secure data infrastructure for AI
Inceptive · Berlin, Germany
Posted about 2 months ago · $200K – $275K
or apply directly on Inceptive's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 63 days Inceptive's roles stay open a median of 63 days
- Reposted
- No
- Salary listed
- Yes 91% of Inceptive's roles list one
- Ghost-job risk at Inceptive
- high 10 stale, 0 reposted of 11 open
- Hiring momentum
- 11 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-05
Measured from postings appearing on and disappearing from Inceptive's own greenhouse board since 2026-08-03. Full hiring picture for Inceptive.
About this role
In this senior, hands-on role at Inceptive, you will architect and manage secure data infrastructure to support AI model training and deployment. Your responsibilities include building foundational security services, enforcing data governance frameworks, conducting threat modeling, and collaborating with teams to ensure data handling meets high standards. You will also be involved in identifying vulnerabilities and establishing security best practices across the organization.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Inceptive as an employer.
What you need
- 7+ years of hands-on experience in data engineering, infrastructure security, or software security
- Strong System and Software Engineering skills with production-quality code in Python, Bash, and at least one systems programming language (Go, Rust, or C+)
- Deep experience securing GCP cloud environments, including IAM, VPC design, secrets management, workload authentication, and cloud security posture management
- Proven track record designing and implementing identity and access management systems
- Hands-on experience with Kubernetes security: RBAC policies, namespace isolation, workload identity, pod security
Nice to have
- PhD or advanced degree in Computer Science, Electrical Engineering, or a related field or equivalent practical experience
- Familiarity with AI/ML-specific security risks and practical mitigations
- Experience securing ML infrastructure, including model registries and training cluster access
- Proficiency with Terraform infrastructure-as-code and GitOps security practices
- Experience with compliance frameworks relevant to sensitive research data
What you get
- $200K – $275K + Bonus + Equity
- 30 days paid vacation per year
- Comprehensive health insurance for US based Beginners
- 401K with company match for US based Beginners and Direktversicherung for German Beginners
- Quarterly company-wide retreats
- Monthly wellness benefit
Worth weighing
- No remote work mentioned; candidates are expected to work primarily from the Berlin or Palo Alto offices
- Availability for meetings across US and Europe time zones may require flexible hours
- Travel required several times a year for company retreats and business events
Summarised from Inceptive's posting. Read the full original.
Listed by Inceptive on their greenhouse job board, last confirmed open on 2026-10-05. PitchMeAI is not the employer.
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