You will design and maintain the infrastructure-as-code platform using OpenTofu and Terragrunt to support engineering teams on Google Cloud Platform. Additionally, you will manage network architecture, security policies, and CI/CD pipelines while mentoring team members to ensure high engineering standards.
Lead the technical architecture and evolution of an AI platform, including LLM-agnostic abstractions and agentic workflows. Ensure system reliability, security, and scalability through robust CI/CD pipelines, observability, and rigorous evaluation suites.
You will build and maintain the Machine Learning infrastructure and MLOps pipelines to ensure model reproducibility, observability, and governance. Additionally, you will collaborate with squads to implement analytical solutions and optimize key performance metrics.
The Pricing Expert will lead the design, implementation, and evolution of pricing strategies for BNPL products to ensure profitability and competitiveness. This role involves cross-functional collaboration with finance, product, and data teams to build financial models and monitor portfolio performance.
The Engineering Lead will guide a squad on backend architectural decisions, best practices, and technical execution to ensure scalability and reliability. They will also collaborate cross-functionally with product and DevOps teams while mentoring backend developers to foster technical excellence.
The SOC Engineer is responsible for managing SIEM and SOAR platforms, configuring log ingestion, and designing correlation rules for threat detection. They also lead incident response efforts, develop playbooks, and collaborate with infrastructure teams to mitigate security risks.
Lead and motivate a team of recovery analysts to collect overdue payments from BNPL platform users. Monitor key performance indicators and prepare reports to optimize recovery processes and ensure regulatory compliance.
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.
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.
