DevOps Developer / Azure

Kaizen Analytix LLC, an analytics products and services company that delivers unmatched speed to value through actionable insights and advanced analytics solutions, is seeking qualified candidates for a DevOps Cloud Technology Contractor role. This position requires a commitment of approximately 35–40 hours/week for 8–12 weeks .

Responsibilities

Actively contribute to client analytics and cloud engagements—including both custom and packaged solutions—by:

• Participating in core delivery teams composed of Kaizen and non-Kaizen (clients, third parties) resources with business, technology, and data science skill sets
• Managing multiple work streams from acquisition and planning through successful delivery
• Solving business problems through excellent decision-making and innovative, strategic ideas
• Defining and setting development, test, release, update, and support processes for DevOps operations
• Designing and deploying Document AI workflows using Azure Document Intelligence (Form Recognizer) for automated data extraction from structured and unstructured documents
• Integrating Document AI capabilities into cloud-native applications and analytics pipelines

Capabilities for Success

The ideal candidate will demonstrate the ability to:

• Understand the business context of an analytics solution: current state, problem, goals/objectives, business value, obstacles, and impacted client constituents
• Collaborate with analysts, data scientists, and software engineers to implement high-quality, sophisticated analysis in support of client engagements and internal projects
• Build and maintain CI/CD pipelines for enterprise-level cloud deployments
• Work within Agile software development frameworks and methodologies
• Develop working knowledge of new models and solution techniques applicable across projects
• Contribute to Kaizen’s proprietary solution library – KaizenValueAccelerators (KVAs) – by developing new capabilities including mathematical models and solution frameworks
• Facilitate critical communications between project owners, business users, and technical teams
• Present analysis, models, and insights as executive summaries to client teams and internal groups
• Leverage Azure AI services such as Form Recognizer, Layout Model, and Custom Document Models to extract key-value pairs, tables, and handwritten notes from diverse document types
• Train and evaluate custom models for document classification and data extraction using Azure Document Intelligence Studio
• Apply best practices for document preprocessing, OCR optimization, and confidence-based routing in composed models

Job Requirements

• Bachelor’s Degree in Computer Science, Information Systems, or Engineering disciplines with at least 6 years of relevant experience building cloud applications
• Minimum 2 years of experience with AWS cloud technologies and hybrid cloud services, including:
  • AWS: IAM, EC2, RDS, S3, ElastiCache, Kinesis, Lambda, and EKS
• Hands-on experience with Document AI platforms , such as:
  • AWS Textract , Azure AI Document Intelligence (Form Recognizer) , or Google Cloud Document AI
  • Designing and deploying intelligent document processing (IDP) workflows for automated data extraction
  • Training and evaluating custom models for document classification, layout analysis, and key-value pair extraction
• Excellent scripting skills in Bash and Python, including automation of document ingestion and processing pipelines
• Extensive experience with Infrastructure-as-Code , including:
  • Building, changing, and versioning infrastructure with Terraform
  • Working with cloud-native deployment frameworks
• Strong database experience , including:
  • MySQL, PostgreSQL, Redshift, Aurora, Azure Cosmos DB
• Experience with caching and queuing technologies , such as:
  • Redis, Memcached, SQS
• Proficiency with monitoring, logging, and alerting tools , including:
  • Grafana, InfluxDB, Graphite, CloudWatch, Elasticsearch, Kibana, New Relic, PagerDuty
• Experience with stream-processing systems , such as:
  • Apache Storm, Spark Streaming
• Excellent communication skills —written, verbal, and presentation
• This is a Telecommute/Work from Home position.