Allianz Global Investors
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Frankfurt am Main, München
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ALAllianz Global Investors
DevSecOps AI Engineer(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Building AI4SDLC solutions and integrating AI with SDLC tools for asset management. Production-grade service delivery and Python/TypeScript/Java/C# experience required. Hybrid work, flexible hours, relocation support.
Requirements
- 3+ years professional software engineering experience
- Delivery of production-grade services and automation
- Platform/tooling context experience preferred
- Objective, verifiable evidence of recent hands-on experience
- Strong hands-on engineering experience in Python, TypeScript/JavaScript, Java, or C#
- API design and integration patterns (REST/events)
- Practical experience implementing AI/LLM-enabled solutions
- Production-ready AI/LLM solutions (testing, observability, rollout)
- Experience integrating with SDLC ecosystems
- Automating workflows within SDLC ecosystems
- Strong engineering mindset for security-by-design
- Compliance-by-default engineering mindset
- Translate governance requirements into technical controls
- Ability to create reusable building blocks
- Drive adoption through documentation and enablement
- Excellent communication and stakeholder collaboration skills
- Fluency in English (written and spoken)
- Experience with agentic AI patterns for developer productivity
- Integrating agentic AI safely into SDLC workflows
- Experience with platform engineering / IDP concepts
- Familiarity with Responsible AI governance expectations
- Implement guardrails and evidence automation for Responsible AI
- Cloud/security certifications
Tasks
- Design and build AI4SDLC solutions
- Integrate AI capabilities with SDLC tools
- Implement and operationalize SDLC AI Agents
- Build AI-assisted patterns for security remediation
- Create AI-enabled guardrails in pipelines
- Implement SDLC4AI building blocks
- Embed AI lifecycle, governance, and compliance
- Align with AllianzGI’s Responsible AI lifecycle
- Build secure, reusable services and components
- Implement secure LLM/agent integration patterns
- Engineer reliability and operational readiness
- Develop telemetry, monitoring, and incident handling
- Create runbooks and safe rollout strategies
- Partner with AI CoE for use-case delivery
- Contribute to adoption enablement
- Provide demos, guidance, and best practices
- Join the AI Engineering Community of Practice
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- TypeScript
- JavaScript
- Java
- C#
- REST
- Git
- CI/CD
- Azure AI Engineer
- Azure Security Engineer
- CCSK
- CKA
- CKS
- Terraform
Benefits
Flexible Working
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Retirement Plans
- Company pension/savings plans
Other Benefits
- Relocation support
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health and wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Jobticket subsidy
Career Advancement
- Career opportunities
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Allianz Global Investors and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ALAllianz Global Investors
DevSecOps AI Engineer(m/w/x)
Frankfurt am Main
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Building AI4SDLC solutions and integrating AI with SDLC tools for asset management. Production-grade service delivery and Python/TypeScript/Java/C# experience required. Hybrid work, flexible hours, relocation support.
Requirements
- 3+ years professional software engineering experience
- Delivery of production-grade services and automation
- Platform/tooling context experience preferred
- Objective, verifiable evidence of recent hands-on experience
- Strong hands-on engineering experience in Python, TypeScript/JavaScript, Java, or C#
- API design and integration patterns (REST/events)
- Practical experience implementing AI/LLM-enabled solutions
- Production-ready AI/LLM solutions (testing, observability, rollout)
- Experience integrating with SDLC ecosystems
- Automating workflows within SDLC ecosystems
- Strong engineering mindset for security-by-design
- Compliance-by-default engineering mindset
- Translate governance requirements into technical controls
- Ability to create reusable building blocks
- Drive adoption through documentation and enablement
- Excellent communication and stakeholder collaboration skills
- Fluency in English (written and spoken)
- Experience with agentic AI patterns for developer productivity
- Integrating agentic AI safely into SDLC workflows
- Experience with platform engineering / IDP concepts
- Familiarity with Responsible AI governance expectations
- Implement guardrails and evidence automation for Responsible AI
- Cloud/security certifications
Tasks
- Design and build AI4SDLC solutions
- Integrate AI capabilities with SDLC tools
- Implement and operationalize SDLC AI Agents
- Build AI-assisted patterns for security remediation
- Create AI-enabled guardrails in pipelines
- Implement SDLC4AI building blocks
- Embed AI lifecycle, governance, and compliance
- Align with AllianzGI’s Responsible AI lifecycle
- Build secure, reusable services and components
- Implement secure LLM/agent integration patterns
- Engineer reliability and operational readiness
- Develop telemetry, monitoring, and incident handling
- Create runbooks and safe rollout strategies
- Partner with AI CoE for use-case delivery
- Contribute to adoption enablement
- Provide demos, guidance, and best practices
- Join the AI Engineering Community of Practice
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- TypeScript
- JavaScript
- Java
- C#
- REST
- Git
- CI/CD
- Azure AI Engineer
- Azure Security Engineer
- CCSK
- CKA
- CKS
- Terraform
Benefits
Flexible Working
- Flexible work arrangements
- Hybrid model
- Flexible working hours
Retirement Plans
- Company pension/savings plans
Other Benefits
- Relocation support
Childcare
- Childcare facilities
Competitive Pay
- Company share purchasing plan
Mental Health Support
- Mental health and wellbeing programs
Company Bike
- Jobrad bike leasing
Public Transport Subsidies
- Jobticket subsidy
Career Advancement
- Career opportunities
Learning & Development
- Self-guided learning & development
Social Impact
- Volunteering time
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Allianz Global Investors and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Allianz Global Investors
Industry
FinancialServices
Description
Allianz Global Investors is a leading global active asset manager focused on long-term value creation and sustainability.
Not a perfect match?
- Allianz Global Investors
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Full-timeWith HomeofficeExperiencedFrankfurt am Main, München - Allianz Global Investors
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AI Platform Engineer(m/w/x)
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