Teams at AgileEngine

Design, optimize, and productionize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows for data validation, troubleshooting, and automation. Develop reusable data engineering frameworks, implement quality and monitoring controls, optimize workloads, support deployments, and resolve complex production issues while collaborating with business, platform, and engineering teams.

Architect and manage GCP infrastructure using Terraform while leading AWS-to-GCP migration workstreams. Build and optimize GKE, Docker, Helm, serverless, networking, IAM, security, and CI/CD environments. Own workload assessment, target architecture, production cutover, rollback planning, data migration, reliability, monitoring, performance, and cost optimization. Automate infrastructure and migration operations with Python, Bash, PowerShell, or Go, and use AI coding assistants for implementation and troubleshooting.

Build backend-focused services using Java and Spring Boot, while maintaining Angular frontend components. Design RESTful APIs, transition database-centric systems toward domain-driven architecture, and work with complex SQL and transactional relational databases including PostgreSQL and Oracle. Collaborate in cross-functional squads to deliver scalable, high-quality software. The role also values cloud, containerization, CI/CD, legacy-system refactoring, and experience in loyalty or fintech domains.