Live opening · Posted 2 days ago

Lead Engineer

Auditoria.AI · Hyderabad
Instahyre 6-10 yrs
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanyAuditoria.AI
LocationHyderabad
Experience6-10 yrs
SourceInstahyre
Listed2 days ago

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About the role

Description supplied by the original job listing.

Join our mission-driven team at Auditoria. AI to transform financial back-office operations using advanced AI and ML. You would be working at the intersection of cutting-edge AI technology and practical enterprise solutions, driving both technical excellence and business impact in the FinTech space.
Responsibilities:
Own the design, development, and deployment of core areas of Auditoria's products, including cloud-native connectors for one or more enterprise ERP systems such as Oracle Finance (Fusion ERP Cloud), Workday Finance, or SAP ERP (S/4HANA, ECC), leveraging the latest tech stack hosted on AWS cloud.
Implement bi-directional data integration using platform-approved APIs and technologies for one or more of the following ERP platforms, leveraging AI-assisted implementation tools to accelerate delivery in a fast-paced environment: Oracle: REST, SOAP, FBDI, ADF; Workday: REST APIs, SOAP APIs, WQL, Enterprise Interface Builder, Workday Prism; SAP: OData, BAPI, RFC, IDoc, SAP Integration Suite/CPI.
Develop scalable, fault-tolerant data synchronization pipelines capable of handling high-volume read/write operations and large transactional datasets with strong performance.
Build configurable, self-service schema mapping and field selection capabilities, enabling customers to dynamically select and map objects, data types, and attributes across connected ERP systems.
Implement secure authentication and authorization mechanisms relevant to the assigned ERP platform(s), including OAuth 2.0 SAML, and platform-specific identity services, integrated with our platform's tenant management.
Ensure multi-tenant architecture where connector instances are automatically available and independently configurable per tenant. Implement monitoring, logging, alerting, and performance metrics to ensure observability, error detection, and proactive issue resolution.
Collaborate across multiple teams and time zones, including Product Management, Platform Engineering, QA, and Operations, to deliver quality solutions from design through production.
Partner with business teams to deliver incremental value to clients.
Stay current with integration guidelines, API updates, and best practices for the assigned ERP platform(s), ensuring continuous compliance, compatibility, and alignment with internal reliability and security standards.
Requirements:
Bachelor's or master's degree in computer science, engineering, or a related field from a premier college.
8+ years of professional, hands-on experience developing and shipping complex software systems, including 5+ years building cloud or SaaS integrations.
Strong programming skills in Node.js .
Hands-on ERP integration experience with one or more platforms: Oracle Fusion, Workday, or SAP.
Deep understanding of data synchronization, API design, and error recovery for high-volume systems.
Knowledge of authentication and authorization standards (OAuth2 SAML, JWT, SAP Identity Authentication Service, etc. ).
Strong debugging, performance tuning, and system observability skills (logs, metrics, tracing).
Embraces startup setup and can work through unknowns, resource constraints, and multiple priorities with creativity and resourcefulness.
Experience with the Agile development process and zeal for engineering best practices.
Preferred Qualifications:
Domain experience with Workday Financial Management, Oracle Finance, or SAP Finance (FI/CO).
Professional certification in one or more ERP platforms: Oracle Cloud Infrastructure Application Integration Professional, Workday Pro Integrations Certification, or SAP Certified Associate - Integration Developer.
Experience with CI/CD, Kubernetes, containers, Istio, and modern DevOps practices.
Experience with system design, data modeling, and data stores (RDBMS, Neo4j, Big Data).
Experience with AWS services (Step Functions, RDS, Kinesis, ELK). Familiarity with GenAI tools and technologies.

Experience
6-10 yrs

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