Hybrid Senior Cloud Engineer – Intelligent Document Processing

at The Hartford

• Job title: Senior Cloud Engineer – Intelligent Document Processing
• Job type: Full Time
• Experience level: Senior
• Salary: $137,200 - $205,800 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Java, Kubernetes, Python, Terraform, .NET
• Location requirements: Hybrid, Hartford, United States

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