Design and implement end-to-end AI agent flows, including prompts, tools, and RAG systems, to solve specific business problems. Build and maintain production-ready endpoints using FastAPI and ensure system observability regarding quality, cost, and latency.
Cashea
17 Remote Job Openings at Cashea
Responsible for defining and maintaining quality standards for product information, including titles, images, and categories in the marketplace. The role involves supervising daily catalog operations, monitoring quality KPIs, and collaborating with technology and commercial teams to optimize the user experience.
Lead and grow a team of data engineers while defining the Data Platform roadmap and ensuring platform reliability. Act as the bridge between the platform team and product squads to champion data quality and governance across the organization.
Manage and optimize the recovery process for accounts receivable to ensure timely customer payments. This includes tracking pending debts, contacting overdue clients, and updating payment records.
Design and operate a unified AI platform layer consisting of LLM and MCP gateways to manage external model providers. Focus on governance, cost control, security, and observability to ensure safe and efficient AI consumption across the company.
Responsible for the investigation, containment, and response to security incidents using SIEM and SOAR tools. The role includes performing threat intelligence, forensic analysis, and developing automation scripts to optimize detection responses.
The SOC Engineer is responsible for detecting, analyzing, and responding to security incidents while managing SIEM and SOAR platforms. They design correlation rules, develop response playbooks, and collaborate with infrastructure teams to mitigate vulnerabilities.
Plan, execute, and document penetration tests across web, mobile, and API platforms to identify and remediate vulnerabilities. Collaborate with DevSecOps and development teams to implement threat modeling and improve the overall security posture.
Integrate security into the entire software development lifecycle by designing secure pipelines and implementing SAST, SCA, and DAST tools. Collaborate with engineering teams to remediate vulnerabilities and conduct threat modeling for applications and services.
Implement and harden cloud infrastructure defenses to ensure data integrity, confidentiality, and availability through automation and security-by-design. Lead the end-to-end cloud vulnerability management process, including detection, triage, and remediation tracking.
The IAM Engineer is responsible for designing and maintaining identity and access management processes to ensure users have appropriate permissions. This includes automating user provisioning, managing access revalidation campaigns, and ensuring compliance with security policies.
The Data Security Engineer is responsible for protecting company data throughout its entire lifecycle by designing and implementing technical controls in GCP. This includes managing DLP, data governance, access management, encryption, and monitoring to ensure secure data usage across teams.
Design and build reusable Infrastructure-as-Code modules and wrappers on GCP using OpenTofu and Terragrunt. Manage network architecture, IAM policies, and CI/CD pipelines to enable engineering teams to ship services safely.
Drive the maturity of the Information Security Management System (ISMS) and support the ISO/IEC 27001 certification process. This includes conducting risk assessments, designing security policies, and collaborating cross-functionally to embed security into business initiatives.
The role involves testing, attacking, and defending generative AI implementations through red teaming and penetration testing. It also requires designing defensive guardrails and establishing secure development standards for AI agents and LLMs.
Lead the technical direction and architecture of the Users Vertical, focusing on optimizing the onboarding funnel and core user management services. Design resilient integrations with third-party KYC and fraud providers while mentoring senior engineers to raise technical maturity.
The Data Engineering Lead will be responsible for leading technical execution, scaling data infrastructure, and ensuring operational excellence by building highly scalable and reliable data pipelines in collaboration with the data platform team. This role involves mentoring Data Engineers and Analytics Engineers while aligning technical execution with business needs to ensure data platform security, traceability, and performance.