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Own design, deployment, and operation of scalable cloud architectures and AI-enabled solutions. Collaborate with internal teams and clients to integrate generative AI models into production cloud environments.

Develop and maintain a proprietary trading system in a high-performance crypto finance environment, covering backend Python and frontend interfaces. Collaborate with quant, trading, infrastructure, and distributed engineering teams to deliver robust, scalable solutions and ensure code quality.

Design, build, and operate end-to-end data pipelines for TB-scale data, including ingestion, transformation, testing, deployment, and monitoring. Lead data modeling, performance optimization, and data quality through observability and automated testing.

You will work in a small team to develop the document management system as a strategic product. You will collaborate with product management and solution consultants to implement features and mentor junior developers.

Own the development, deployment, and operation of scalable cloud architectures and collaborate with clients to integrate generative AI models into production cloud solutions. Optimize cloud resources for performance, cost, scalability, and security, and build CI/CD pipelines for cloud services and AI models.

Design, develop, and deliver Data Warehouse solutions and ETL/ELT pipelines using Python and Airflow to support Getsafe’s BI platform. Collaborate with business stakeholders to translate requirements into data solutions.

Shape application security in a cloud-native product by collaborating with software engineers to secure design, development, and deployment. Lead security reviews, implement SAST/DAST tooling in CI/CD, manage vulnerabilities, and advise teams on secure solutions across Kubernetes, Docker, and cloud platforms.

Extend the confidential container runtime and Kubernetes integration; implement secure disk mounts, GPU attestation, and service mesh policies. Advance the Contrast framework for end-to-end attestation and policy enforcement and work with low-level hardware features, creating reproducible builds with NixOS.

Design, implement, and optimize agentic workflows using LLMs and build tool-using agents that interact with APIs, databases, and environments. Develop voice-enabled agents, integrate memory and state tracking, deploy agents in production, and run experiments to evaluate performance.

Develop distributed backend systems in a self-organized agile team, focusing on scalable Spring Boot-based services in AWS and Terraform. Collaborate with Product and Ops to deliver solutions that fuel customer success.