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Senior Cloud Engineer - Intelligent Document Processing

MSCCN - Charlotte, NC

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Job Description

Sr Cloud Engineer - IE07NE Weu2019re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals u2013 and to help others accomplish theirs, too. Join our team as we help shape the future. We are seeking a highly capable and technically proficient Senior Cloud Engineer to join our Intelligent Document Processing team. This role demands hands-on expertise in cloud-native engineering, automation of document workflows, and integration of advanced data extraction technologies. You will be instrumental in scaling and optimizing our platform, working alongside engineering leads and business stakeholders to deliver robust, production-grade solutions. This position is ideal for someone who thrives in a fast-paced, agile environment and is ready to take ownership of complex systems, drive technical excellence, and contribute to strategic platform evolution. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Key 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. Qualifications: Required + Bacheloru2019s 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. Preferred + Experience with GenAI-powered Intelligent Document Processing platforms (e.g., MEA, Azure Form Recognizer). + Hands-on experience with OCR, NLP, and machine learning technologies in production environments. + Proficiency with containerization (Docker) and orchestration (Kubernetes). + AWS certifications (e.g., Solutions Architect, Developer, SysOps). + Familiarity with insurance-specific document formats (e.g., SOVs, financial statements). Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartfordu2019s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $137,200 - $205,800 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Created: 2026-02-02

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