DevOps Developer / Azure

Job Description

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

Ability to travel as requested by client

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