KellyMitchell Group

Lead cloud and platform strategy, modernize infrastructure, and build scalable AI-enabled platforms. | 12+ years in infrastructure and cloud leadership with deep AWS and Kubernetes experience. | Job Summary Our client a leading Technology provider is seeking a VP, Cloud & Platform Engineering to join their team! This position is remote. We are seeking a strategic and hands-on VP, Cloud & Platform Engineering to define and execute the future-state technology vision for a fast-growing organization. This leader will be responsible for modernizing infrastructure, optimizing cloud spend, and building a scalable, high-performing platform that supports data, AI, and product innovation. This role goes beyond traditional infrastructure leadership, owning the transformation to a cloud-native, AI-enabled ecosystem while elevating engineering maturity across a globally distributed team. Core Responsibilities • Define and execute the enterprise cloud and platform strategy, with a strong focus on AWS native services and AI enablement (including Claude) • Drive migration from legacy systems (including Oracle) to modern cloud platforms such as Aurora, DynamoDB, and PostgreSQL • Champion containerized and microservices based architectures leveraging Kubernetes • Partner closely with Data Engineering teams to support scalable data platforms (Snowflake, event-driven architectures, etc.) • Ensure infrastructure is built to support high volume data processing, analytics, and AI/ML workloads • Implement best practices across DevOps, CI/CD, observability, and system reliability • Establish governance around cloud cost management, security, and performance • Partner with executive leadership on the company’s transition toward AI first capabilities • Build infrastructure that supports increased automation, intelligent systems, and future product innovation Required Skills/Experience (Must-Haves) • 12+ years of progressive experience in infrastructure, cloud engineering, and platform leadership, including executive-level ownership • Proven ability to define and execute cloud transformation strategies in AWS environments • Deep experience with: AWS ecosystem, Kubernetes, Java/Python, Aurora, DynamoDB, PostgreSQL, Snowflake • Experience leading large-scale migrations (e.g., Oracle to cloud-native architectures) • Experience supporting data engineering and event-driven architectures (Kafka or similar) • Demonstrated success leading and scaling global engineering teams, including offshore models Work Environment • Remote Compensation & Benefits • Pay Range: The approximate pay range for this position is between $200,000 - $300,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. • Medical, Dental, & Vision Insurance Plans • Employee Stock Ownership Plan • 401K offered About KellyMitchell At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice. Marketing Disclosure By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy

Build and enhance scalable data management applications, develop reusable components, and collaborate across teams. | Requires 4+ years in development, proficiency in LWC, Apex, Java, and data modeling, with experience in scalable data solutions. | Job Summary: Our client is seeking a Software Engineer-SMTS to join their team! This position is located Remote - Texas. Duties: • Build and enhance a next-generation LWC application to manage large-scale data dictionaries • Develop scalable, reusable LWC, Apex, and JavaScript components • Create tools and automation to streamline data and metadata management • Maintain secure access models, metadata repositories, and integration workflows • Collaborate with Product, DevOps, and Data teams to support platform initiatives and optimize metadata during migrations • Contribute to code reviews, documentation, and overall engineering best practices Desired Skills/Experience: • 4+ years of relevant experience in development and platform engineering • Proficient in development, including Lightning Web Components (LWC) and Apex • Proficient in Java with strong coding and problem-solving abilities • Deep understanding of data models, including objects, fields, field types, and junction objects • Strong knowledge of large-scale data structures and data management, including creating scalable and efficient solutions • Demonstrated ability to develop reusable code frameworks and technical documentation for long-term maintainability • Ability to analyze stakeholder requirements and translate them into scalable, high-quality technical solutions Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Manage and build ETL processes, design data structures, ensure data governance, and collaborate with teams to meet data needs. | Proficiency in advanced SQL, experience with large corporate datasets, cloud data platforms, ETL tools, and preferably Spark and machine learning knowledge. | Job Summary Our client is seeking a Database Engineering Manager to join their team! This position is located in Denver, Colorado. Duties • Building and maintaining ETL process from various sources into company data environment like snowflake, azure, fabric • Building views and monitoring pipelines to ensure they run smoothly • Designing and prototyping new data structures and exploring how to leverage new tools or platforms • Creating proof-of-concept models and ensuring data is organized for easy access and analysis • Working with other teams to understand data needs, defining requirements, and creating data views that can be shared across the organization • Ensuring proper data governance, security, and access control • Integrating data from various sources to create a unified and comprehensive dataset • Testing data pipelines, validating data accuracy, and ensuring the integrity of the data structures Desired Skills/Experience: • Proficient in writing and optimizing advanced SQL queries • Hands-on experience working with large corporate datasets, not just academic or lab projects • Experience with cloud data platforms like Redshift, Snowflake, Fabric, or Azure is essential, particularly in exploring data, handling flat files, and leveraging ETL processes • Proficient in building and orchestrating ETL pipelines using tools like Apache, Fabric Data Flows, or similar technologies • Experience with Spark in a Python environment, a plus • Familiarity with the properties and concepts of major machine learning techniques, a plus Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position starting at $90,000 - 105,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Mine complex data, design new data incorporation methods, collaborate with IT teams to manage statistical data and create models, and provide actionable insights while adhering to data privacy and company guidelines. | 2+ years related experience, bilingual English-Spanish proficiency, advanced analytical and communication skills, and experience with data mining techniques. | Job Summary Our client is seeking a Bilingual Data Scientist to join their team! This position is located in Greenwood Village, Colorado. Duties • Mine complex data and providing systems-related advice for their organization • Design new ways to incorporate vast information with a focus on information technology topics • Work with teams of other IT professionals to manage statistical data and create different models based on the needs of their company • Process research information for easier consumption and transform it into actionable plans • Provide value to their businesses through their findings and thoughtful insights • Follow specific, strict company and industry guidelines in their work • Observe data privacy rights to ensure client satisfaction and avoid legal issues • Create networks of professionals to consult, including internal partners and external colleagues • Work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods • Deal with cutting edge technologies on a regular basis Desired Skills/Experience: • 2+ years of related experience • Must be bi-lingual (English and Spanish) • Must be able to speak Spanish proficiently • Possess advanced analytical skills • Exceptional oral and written communication abilities • Possess previous work experience in a similar position • Advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position is between $44.00 and $64.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.