Manager - Intelligent Document Processing (IDP)

Job Description As a Manager of IT Cloud Engineering for the Intelligent Document Processing (IDP) platform, your role will involve a combination of hands-on cloud engineering, team leadership, and strategic oversight. You will play a crucial part in guiding the technical direction of IDP initiatives, mentoring engineers, and ensuring the delivery of scalable, production-grade solutions that support automated document workflows and advanced data extraction. Key Responsibilities: - Lead the engineering and delivery of cloud-native IDP solutions using AWS and third-party platforms. - Manage a team of engineers and collaborate with architects, data scientists, and business stakeholders to align IDP capabilities with enterprise goals. - Oversee the development and optimization of automated workflows for document ingestion, classification, extraction, and validation. - Drive performance tuning, cost optimization, and infrastructure resilience across the IDP platform. - Implement monitoring, alerting, and fault-tolerant mechanisms to ensure platform reliability. Qualifications Required: - Bachelors Degree in Computer Science, IT, or a related field. - 7+ years of experience in cloud engineering with at least 2 years in a technical leadership role. - Strong knowledge of AWS services such as Lambda, S3, Step Functions, ECS, and IAM. - Programming experience in .NET and Python for backend services. - Familiarity with OCR/NLP technologies and containerization using Docker/Kubernetes. Nice to Have: - AWS certifications (Solutions Architect, Developer, SysOps). - Experience with GenAI-powered IDP platforms. - Exposure to CI/CD pipelines and Infrastructure-as-Code tools like Terraform and CloudFormation. - Familiarity with Power Automate, Tableau, and relational databases such as SQL Server/PostgreSQL. - Experience with Agile methodologies and Rally. In addition to the job specifications, the company offers a collaborative work environment with global teams, competitive compensation, comprehensive benefits, and continuous learning and growth opportunities in geospatial and risk analytics technologies. As a Manager of IT Cloud Engineering for the Intelligent Document Processing (IDP) platform, your role will involve a combination of hands-on cloud engineering, team leadership, and strategic oversight. You will play a crucial part in guiding the technical direction of IDP initiatives, mentoring engineers, and ensuring the delivery of scalable, production-grade solutions that support automated document workflows and advanced data extraction. Key Responsibilities: - Lead the engineering and delivery of cloud-native IDP solutions using AWS and third-party platforms. - Manage a team of engineers and collaborate with architects, data scientists, and business stakeholders to align IDP capabilities with enterprise goals. - Oversee the development and optimization of automated workflows for document ingestion, classification, extraction, and validation. - Drive performance tuning, cost optimization, and infrastructure resilience across the IDP platform. - Implement monitoring, alerting, and fault-tolerant mechanisms to ensure platform reliability. Qualifications Required: - Bachelors Degree in Computer Science, IT, or a related field. - 7+ years of experience in cloud engineering with at least 2 years in a technical leadership role. - Strong knowledge of AWS services such as Lambda, S3, Step Functions, ECS, and IAM. - Programming experience in .NET and Python for backend services. - Familiarity with OCR/NLP technologies and containerization using Docker/Kubernetes. Nice to Have: - AWS certifications (Solutions Architect, Developer, SysOps). - Experience with GenAI-powered IDP platforms. - Exposure to CI/CD pipelines and Infrastructure-as-Code tools like Terraform and CloudFormation. - Familiarity with Power Automate, Tableau, and relational databases such as SQL Server/PostgreSQL. - Experience with Agile methodologies and Rally. In addition to the job specifications, the company offers a collaborative work environment with global teams, competitive compensation, comprehensive benefits, and continuous learning and growth opportunities in geospatial and risk analytics technologies.