Jobs at AgileEngine

Own infrastructure-as-code and deployment pipelines while developing backend services for an identity and entitlement platform. Responsibilities include building API integration components, migrating entitlement data, executing system cutovers with rollback readiness, validating permissions, supporting QA and UAT, and maintaining deployment pipelines. The role requires Golang, Node.js, Terraform, DevOps, CI/CD, microservices, and complex systems integration experience.

Develop and maintain scalable Salesforce solutions across Sales Cloud, Experience Cloud, and Agentforce using Apex, LWC, Flows, and Visualforce. Design REST/SOAP integrations, manage secure configurations, troubleshoot and optimize performance, and deliver deployments through Git-based version control and CI/CD. Own technical implementations end to end, collaborate with cross-functional teams, support production releases, and improve development lifecycle practices through testing, code reviews, documentation, and continuous improvement.

Architect generative AI workflows for cloud configuration and remediation using RAG, vector databases, and LLM APIs. Lead automation that generates Terraform modules, Rego policies, and Regula tests; develop AI-enabled drift detection and compliance capabilities; and guide cloud security tooling architecture. Provide technical leadership, establish AI enablement strategy, drive technology programs, and mentor engineers across a distributed global team.

Build backend services primarily with Java and Spring Boot, support Angular frontend development, and modernize legacy systems toward domain-driven architecture. Design scalable RESTful APIs, optimize complex transactional SQL across Oracle or PostgreSQL, and use JPA/Hibernate for enterprise platforms. Collaborate within cross-functional squads to deliver robust features. Cloud, containerization, CI/CD, loyalty or fintech experience, and spec-driven development are advantageous.

Design and optimize scalable ETL/ELT pipelines using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build agentic workflows for data engineering automation, implement data quality and monitoring controls, optimize workloads, and support testing, deployment, troubleshooting, and production operations. Collaborate with business, data engineering, and platform teams to identify automation opportunities and develop reusable frameworks.

Leads complex technical programs spanning product integration and AWS-to-GCP cloud migration. Coordinates engineering, testing, data, cloud, and product teams; translates initiatives into workstreams, milestones, dependencies, and execution plans; manages risks, blockers, validation, reconciliation, cutover readiness, and stakeholder reporting. Requires strong software architecture, API, database, cloud-platform, and technical delivery knowledge, plus experience coordinating distributed teams across India and North America.

Leads complex technical programs across product integration and AWS-to-GCP cloud migration initiatives. Coordinates engineering, testing, data, cloud, and product teams; manages workstreams, dependencies, risks, testing, validation, data reconciliation, release cutover, and production readiness. Communicates status and escalates issues to senior stakeholders while supporting distributed teams across India and North America.