Cloud platform engineer designing and implementing scalable, secure infrastructure for AI solutions. Collaborating cross - functionally to enhance cloud capabilities and reliability.
About the role
- Senior Cloud Engineer developing cloud-native solutions for intelligent document processing. Leading projects in AWS with a focus on automation and optimization in a collaborative environment.
Responsibilities
- Engineer and maintain cloud-native solutions using AWS services and third-party vendor platforms
- Develop and optimize automated workflows for document ingestion, classification, extraction, and validation
- Integrate components with enterprise systems, ensuring seamless data flow and operational reliability
- Lead performance tuning and cost optimization efforts across cloud infrastructure
- Implement monitoring, alerting, and fault-tolerant mechanisms to ensure platform resilience
- Collaborate with software engineers, data scientists, and architects to align capabilities with business goals
- Author and maintain technical documentation, including architecture diagrams, deployment guides, and operational runbooks
- Evaluate emerging technologies and contribute to platform roadmap discussions
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 5+ years of experience in cloud engineering
- Strong programming skills in Python and .NET/Java with experience building scalable backend services
- Deep expertise in AWS services (e.g., Lambda, S3, Step Functions, ECS, IAM)
- Exposure to CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Proven ability to troubleshoot complex systems and implement resilient cloud architectures
- Excellent communication skills and a collaborative mindset
- Experience with GenAI-powered Intelligent Document Processing platforms (e.g., MEA, Azure Form Recognizer) (preferred)
- Hands-on experience with OCR, NLP, and machine learning technologies in production environments (preferred)
- Proficiency with containerization (Docker) and orchestration (Kubernetes) (preferred)
- AWS certifications (e.g., Solutions Architect, Developer, SysOps) (preferred)
- Familiarity with insurance-specific document formats (e.g., SOVs, financial statements) (preferred)
- Candidate must be authorized to work in the US without company sponsorship.
Benefits
- short-term or annual bonuses
- long-term incentives
- on-the-spot recognition
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