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• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Write code that is simple, readable, testable, and maintainable, whether you write it yourself or with the help of AI tools
• Conduct code reviews, give helpful feedback, actively contribute in team discussions and decisions

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Leadership in integration of security best practices into DevOps lifecycle
• Architecting, implementing, and continuously improving security services, CI/CD pipelines, and cloud infrastructure
• Design and enforcement of secure configuration management, secrets handling, RBAC, and network policies

As part of our IT Core Infrastructure Services team, you will be an integral pillar of our VMware Cloud Foundation (VCF) rollout and take part in realizing Brainlab's multi-cloud strategy. With your enthusiasm for cloud-native technologies and architectures and in close collaboration with...

• Support the integration of security best practices into the DevOps lifecycle
• Contribute to the implementation and continuous improvement of security services, CI/CD pipelines, and cloud infrastructure with a focus on automation and scalability

• Leadership in design, development, and continuous improvement of CaaS and PaaS platforms built on Kubernetes ecosystem
• Backend development in Golang
• Architecture and implementation of new platform features
• Development and maintenance of advanced CI/CD pipelines with GitLab and GitOps

• Design intelligent contact center platforms based on Amazon Bedrock AgentCore and Amazon Connect
• Design agent and conversation architectures including tool integration, persistent memory, multi-agent orchestration, and guardrails

• Develop and Implement: Build and maintain platform solutions that improve the reliability, security, and scalability of our Database Platform infrastructure.
• Operational Excellence: Apply cloud infrastructure, networking, and CI/CD best practices to support our operational data storage solutions.

• Design and build AI-powered automation for software quality assurance, reducing manual testing effort over time
• Develop test and evaluation infrastructure for workflow, end-to-end, REST/gRPC API and contract testing, with CI/CD integration

You own line management for a distributed team of Machine Learning Engineers and Data Scientists - running regular 1:1s, setting development goals, and driving performance reviews and career growth....

• The data platform end to end: ingestion, storage, and the query paths that keep millions of records fast on screen. You design it, you build it, you run it in production.
• The platform layer, directly with the CTO: infrastructure, deployments, and the path to production for the whole team.

• Technical onboarding of TelCo and OSS applications onto Kubernetes-based platforms
• Contribution to Site Reliability Engineering through automation of operational tasks and creation of enhancements

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

Design, develop, implement and own cloud network products, services, and solutions to improve the security, reliability, and connectivity of the N26 unified network infrastructure and systems....

• Supporting and consulting our product lines in implementing required product and solution security practices
• Acting as the primary security point of contact for product teams during development, project execution, and service operations

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

• A React/TypeScript front-end;
• complex reporting and business intelligence functionality implemented in Microsoft SQL Server: T-SQL, stored procedures;
• a .NET Web API back-end hosted on IIS and responsible for the system's core operations;