Platform Engineer

• Own end-to-end production data pipelines from design and development through deployment, monitoring, troubleshooting, and ongoing maintenance
• Build and maintain Python-based data ingestion pipelines from third-party APIs and sources including client data, documents, and call transcripts
• Consolidate data into a centralized PostgreSQL environment
• Design, develop, and maintain cloud-based data solutions using GCP and/or AWS, including Cloud Run, Cloud Functions, Cloud SQL, Pub/Sub, BigQuery, Cloud Scheduler, and Document AI
• Investigate and resolve production pipeline failures, data issues, and integration problems
• Develop and maintain advanced PostgreSQL solutions, including complex or large views, JSONB structures, migrations, roles, grants, and database-level access controls
• Build and support document-processing and AI/LLM pipelines processing large volumes of client documents
• Implement production LLM features and methods for evaluating AI-generated output quality and accuracy
• Build or maintain MCP servers/tools enabling AI applications to interact with business data
• Design secure, scoped, fail-closed APIs for accessing sensitive financial information
• Apply privacy, security, access controls, and auditability when handling sensitive Australian client financial data
• Work with Pivot Wealth's Sydney-based stakeholders, advisers, brokers, and engineering team to translate business requirements into technical solutions
• Operate with high technical ownership and accountability in a small engineering environment

Senior Data & AI Platform Engineer

• Build and evolve the Azure platform used by engineering teams to develop, deploy, and run services
• Design and provision secure, scalable, resilient infrastructure as code using Terraform and Azure-native technologies
• Ensure environments are reproducible, well-governed, production-ready, reliable, secure, performant, and cost-efficient
• Enable delivery teams to self-serve infrastructure and deployments
• Design Azure networking, identity, compute, storage, hosting, certificates, and TLS for resilience, scale, and cost efficiency
• Own reusable Terraform modules, remote state, plan/apply discipline, drift correction, and version-controlled infrastructure changes
• Manage machine configuration and automation using configuration-management tools and production-grade scripting
• Provide environments, templates, modules, and documentation that improve developer self-service
• Own infrastructure and application paths to production, including build, test, release, safe deployment, and rollback
• Manage identity, access control, secrets, network boundaries, least privilege, policy as code, and shared Azure standards
• Use coding agents to produce infrastructure code and scripts and review their changes
• Provide execution environments, sandboxes, tool servers, credential handling, and guardrails for agentic development

Platform Engineer jobs in Philippines

Senior Data & AI Platform Engineer

Senior Platform Engineer