- Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes.
- Architect and implement the workflow state management layer — handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent.
- Implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing.
- Develop and maintain APIs that expose platform capabilities (exception management, approval routing, notification triggers, audit trail) to downstream consumers and front-end applications.
- Ensure platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards — with alerting on SLA breaches, queue depth, and service health.
- Collaborate with AI engineers to integrate LLM-based services and agent outputs into backend workflows, handling model responses, confidence thresholds, and fallback routing.
- Implement security best practices — IAM role-based access, secrets management via AWS Secrets Manager, data encryption at rest and in transit, and audit logging for compliance.
Must Have Required Skills
- 5+ years of backend engineering experience with strong proficiency in Python and/or Node.js.
- Solid experience building and deploying microservices on AWS — Lambda, ECS/Fargate, API Gateway, SQS, SNS, EventBridge, Step Functions, and RDS/Aurora.
- Strong understanding of event-driven and async architecture patterns for distributed systems.
- Experience designing RESTful APIs and working with message queues for decoupled, high-throughput processing.
- Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (DynamoDB) — including schema design, indexing, and query optimisation.
- Experience with Infrastructure as Code — AWS CDK, Terraform, or CloudFormation.
- Solid understanding of multi-tenancy patterns — tenant isolation, per-tenant configuration, and shared service design.
- Experience with workflow orchestration services — AWS Step Functions, Apache Airflow, or Temporal — for managing long-running, stateful processes.
- Strong grasp of observability fundamentals — structured logging, distributed tracing, metrics, and alerting in production environments.
- Experience with CI/CD pipelines (GitHub Actions, AWS CodePipeline, or equivalent) and container-based deployments (Docker, ECS).
Preferred Qualifications
- Exposure to Finance and Accounting processes (P2P, O2C, R2R) or prior work in a BPO or shared services technology context.
- Knowledge of financial compliance requirements — audit trail design, SOX control considerations, or data retention policies.
- Familiarity with vector databases (pgvector, Pinecone) and basic understanding of how LLM-based services are consumed from backend APIs.
- Experience with AWS Textract or similar document processing services for structured extraction from financial documents.
- Knowledge of API security patterns — OAuth 2.0, JWT, mTLS — relevant to enterprise ERP and banking system integrations.
- Understanding of anomaly detection pipelines in transactional data contexts.
- Experience with human-in-the-loop (HITL) workflow patterns — task queuing, approval routing, SLA escalation, and decision capture.
Key Responsibilities
- Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes.
- Architect and implement the workflow state management layer — handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent.
- Implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing.
- Develop and maintain APIs that expose platform capabilities (exception management, approval routing, notification triggers, audit trail) to downstream consumers and front-end applications.
- Ensure platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards — with alerting on SLA breaches, queue depth, and service health.
- Collaborate with AI engineers to integrate LLM-based services and agent outputs into backend workflows, handling model responses, confidence thresholds, and fallback routing.
- Implement security best practices — IAM role-based access, secrets management via AWS Secrets Manager, data encryption at rest and in transit, and audit logging for compliance.
Must Have Required Skills
- 5+ years of backend engineering experience with strong proficiency in Python and/or Node.js.
- Solid experience building and deploying microservices on AWS — Lambda, ECS/Fargate, API Gateway, SQS, SNS, EventBridge, Step Functions, and RDS/Aurora.
- Strong understanding of event-driven and async architecture patterns for distributed systems.
- Experience designing RESTful APIs and working with message queues for decoupled, high-throughput processing.
- Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (DynamoDB) — including schema design, indexing, and query optimisation.
- Experience with Infrastructure as Code — AWS CDK, Terraform, or CloudFormation.
- Solid understanding of multi-tenancy patterns — tenant isolation, per-tenant configuration, and shared service design.
- Experience with workflow orchestration services — AWS Step Functions, Apache Airflow, or Temporal — for managing long-running, stateful processes.
- Strong grasp of observability fundamentals — structured logging, distributed tracing, metrics, and alerting in production environments.
- Experience with CI/CD pipelines (GitHub Actions, AWS CodePipeline, or equivalent) and container-based deployments (Docker, ECS).
Preferred Qualifications
- Exposure to Finance and Accounting processes (P2P, O2C, R2R) or prior work in a BPO or shared services technology context.
- Knowledge of financial compliance requirements — audit trail design, SOX control considerations, or data retention policies.
- Familiarity with vector databases (pgvector, Pinecone) and basic understanding of how LLM-based services are consumed from backend APIs.
- Experience with AWS Textract or similar document processing services for structured extraction from financial documents.
- Knowledge of API security patterns — OAuth 2.0, JWT, mTLS — relevant to enterprise ERP and banking system integrations.
- Understanding of anomaly detection pipelines in transactional data contexts.
- Experience with human-in-the-loop (HITL) workflow patterns — task queuing, approval routing, SLA escalation, and decision capture.
Key Responsibilities
- Design and build RESTful and event-driven backend services in Python and/or Node.js that support multi-agent orchestration, HITL workflows, and exception routing across finance processes.
- Architect and implement the workflow state management layer — handling execution context persistence, checkpointing, idempotent retries, and safe resume for long-running finance workflows using AWS Step Functions or equivalent.
- Implement event-driven architecture using AWS SQS, SNS, and EventBridge to decouple platform services and support asynchronous, high-throughput financial document processing.
- Develop and maintain APIs that expose platform capabilities (exception management, approval routing, notification triggers, audit trail) to downstream consumers and front-end applications.
- Ensure platform observability through structured logging, distributed tracing (AWS X-Ray), and CloudWatch dashboards — with alerting on SLA breaches, queue depth, and service health.
- Collaborate with AI engineers to integrate LLM-based services and agent outputs into backend workflows, handling model responses, confidence thresholds, and fallback routing.
- Implement security best practices — IAM role-based access, secrets management via AWS Secrets Manager, data encryption at rest and in transit, and audit logging for compliance.
Must Have Required Skills
- 5+ years of backend engineering experience with strong proficiency in Python and/or Node.js.
- Solid experience building and deploying microservices on AWS — Lambda, ECS/Fargate, API Gateway, SQS, SNS, EventBridge, Step Functions, and RDS/Aurora.
- Strong understanding of event-driven and async architecture patterns for distributed systems.
- Experience designing RESTful APIs and working with message queues for decoupled, high-throughput processing.
- Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL stores (DynamoDB) — including schema design, indexing, and query optimisation.
- Experience with Infrastructure as Code — AWS CDK, Terraform, or CloudFormation.
- Solid understanding of multi-tenancy patterns — tenant isolation, per-tenant configuration, and shared service design.
- Experience with workflow orchestration services — AWS Step Functions, Apache Airflow, or Temporal — for managing long-running, stateful processes.
- Strong grasp of observability fundamentals — structured logging, distributed tracing, metrics, and alerting in production environments.
- Experience with CI/CD pipelines (GitHub Actions, AWS CodePipeline, or equivalent) and container-based deployments (Docker, ECS).
Preferred Qualifications
- Exposure to Finance and Accounting processes (P2P, O2C, R2R) or prior work in a BPO or shared services technology context.
- Knowledge of financial compliance requirements — audit trail design, SOX control considerations, or data retention policies.
- Familiarity with vector databases (pgvector, Pinecone) and basic understanding of how LLM-based services are consumed from backend APIs.
- Experience with AWS Textract or similar document processing services for structured extraction from financial documents.
- Knowledge of API security patterns — OAuth 2.0, JWT, mTLS — relevant to enterprise ERP and banking system integrations.
- Understanding of anomaly detection pipelines in transactional data contexts.
- Experience with human-in-the-loop (HITL) workflow patterns — task queuing, approval routing, SLA escalation, and decision capture.
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 54,000 employees spanning six continents. For more information, visit www.exlservice.com.
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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