Jobs at AgileEngine

Lead the architecture of generative AI workflows for cloud configuration, security automation, drift detection, remediation, and infrastructure-as-code generation. Develop RAG and vector database solutions using LLM APIs, automate Terraform and Rego policy creation, and guide AI enablement strategy. Provide technical leadership, design extensible service architectures, and mentor engineers across a distributed global team.

Designs and optimizes scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Builds agentic workflows for data validation, troubleshooting, and automation; develops reusable frameworks, quality controls, monitoring, exception handling, and production processes. The role also requires performance optimization, testing, deployment, production support, and collaboration with business, data engineering, and platform teams.

Develop and maintain Java and Spring Boot microservices for distributed billing and account management systems. Build GraphQL APIs, manage event-driven workflows, ensure transactional consistency across MySQL, DynamoDB, MongoDB, and external platforms, and deliver tested features through GitLab CI/CD. Improve observability, resilience, and deployment safety using Datadog monitors and canary releases.