Qureos Mentor

CAI (Computer Aid, Inc.)

Req number: R6689
 
Employment type: Full time
 
Worksite flexibility: Onsite Who we are
 CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
 
Job Summary As a Lead Developer, you will help to scale test infrastructure, supporting a modern, AI-powered web, and mobile platform.
 
Job Description
 
We are looking for a Lead Developer to help us scale our test infrastructure, supporting a modern, AI-powered web, and mobile platform. This position will be contract and onsite in Orlando, Houston, or Denver .
 
What You’ll Do
 
Design, build, and maintain internal tools and comprehensive frameworks supporting unit, integration, API, and UI testing using modern approaches with Jest, Locust, Flutter (iOS & Android) and Playwright
 
Implement containerized, reproducible test environments using Docker and CI/CD pipelines to support local and large-scale execution
 
Contribute to integration testing strategies for inter-service validation and shared dependencies
 
Architect and evolve the load, scale, and performance testing systems used to understand the limits of the system, verify system resilience, and protect critical user journeys
 
Build data-generation pipelines to create realistic workloads and performance test scenarios
 
Use APM tools (Datadog RUM, APM, DBM preferred) for build-over-build monitoring and troubleshooting
 
Evaluate and implement AI-driven tools for automated test generation and maintenance
 
Integrate self-healing, intelligent failure analysis, and test recommendations into CI pipelines
 
Partner with teams to adopt the tools and frameworks built by Test Infrastructure, with a shift-left strategy in mind
 
Champion best practices around metrics-based test infrastructure observability and monitoring
 
Mentor teammates on software architecture and design patterns
 
What You’ll Need
 
Required: 
Minimum 8 years’ experience as a software engineer in fast-paced product environments
 
Minimum 4 years' experience with Python, Oracle PL/SQL, and .Net
 
Expertise in TypeScript, Node and experience with test frameworks like Playwright, Cypress, Jest, Mocha, Flutter, Detox, Moropo, Locust, JMeter or custom-built tools
 
Strong full stack understanding with deep knowledge of RESTful APIs, message queues, and service-oriented architecture
 
Experience with Docker, local environment orchestration, and integrating tests into CI pipelines (e.g., GitHub Actions, Harness)
 
A strong understanding of modern test pyramid principles, including balancing unit, integration, and end-to-end test automation and the tools and processes to measure and improve test coverage and test impact analysis
 
Expertise across network layers with HAR and performance metric analysis
 
Demonstrated interest or experience in AI-assisted code generation & prompt engineering using LLMs
 
Passion for system design, scalability, and thoughtful failure investigation experience in testing, with a strong understanding of testing methodologies and tools
 
Proven track record of designing and executing test cases for complex software applications
 
Strong analytical and problem-solving skills to identify issues and recommend solutions
 
Excellent verbal and written communication skills for effective collaboration across teams
 
Working knowledge of Agile development methodologies and environments
 
Strong debugging and scripting skills
 
Good communication and documentation abilities
 
Preferred: 
Prior project lead experience
 
Built or contributed to internal tools that accelerate code quality or engineering velocity
 
Familiarity with observability tools (e.g., DataDog, Sentry) for debugging and quality signals
 
Physical Demands
 
Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
 
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
 
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard and monitor
 
#LI-AE1
 
Reasonable accommodation statement
 If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.
 
$60.00-$65.00 per hour
 The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Lead Developer

Req number: R6646
 
Employment type: Full time
 
Worksite flexibility: Remote Who we are
 CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
 
Job Summary We are seeking a motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in building cloud-based data lake and analytics architectures using AWS and Databricks and is proficient in Python programming for data processing and automation. This is a Full-time and Remote position.
 
Job Description
 We are looking for a Data Engineer that has experience in building data products using Databricks and related technologies. This position will be Full-time and Remote position.
 What You’ll Do
 
Design, develop, and maintain data lakes and data pipelines on AWS using ETL frameworks and Databricks
 
Integrate and transform large-scale data from multiple heterogeneous sources into a centralized data lake environment
 
Implement and manage Delta Lake architecture using Databricks Delta or Apache Hudi
 
Develop end-to-end data workflows using PySpark, Databricks Notebooks, and Python scripts for ingestion, transformation, and enrichment
 
Design and develop data warehouses and data marts for analytical workloads using Snowflake, Redshift, or similar systems
 
Design and evaluate data models (Star, Snowflake, Flattened) for analytical and transactional systems
 
Optimize data storage, query performance, and cost across the AWS and Databricks ecosystem
 
Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and Python-based data processing scripts
 
Collaborate with data scientists, analysts, and stakeholders to deliver high-performance, reusable data assets
 
Maintain and manage code repositories (Git) and promote best practices in version control, testing, and deployment
 
Participate in making major technical and architectural decisions for data engineering initiatives
 
Monitor and troubleshoot Databricks clusters, Spark jobs, and ETL processes for performance and reliability
 
Coordinate with business and technical teams through all phases of the software development life cycle
 What You'll Need
 Required
 
5+ years of experience building and managing Data Lake Architecture on AWS Cloud
 
3+ years of experience with AWS Data services such as S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift
 
3+ years of experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, or Exasol
 
3+ years of hands-on experience working with Apache Spark or PySpark, on Databricks
 
3+ years of experience implementing Delta Lakes using Databricks Delta or Apache Hudi
 
3+ years of experience in ETL development using Databricks, AWS Glue, or other modern frameworks
 
Proficiency in Python for data engineering, automation, and API integrations.
 
Experience in Databricks Jobs, Workflows, and Cluster Management
 
Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation is a plus
 
Bachelor’s degree in computer science, Information Technology, Data Science, or related field
 Physical Demands
 
This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.
 
Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor
 
Reasonable accommodation statement
 If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Data Engineer

Req number: R6655
 
Employment type: Full time
 
Worksite flexibility: Remote Who we are
 CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
 
Job Summary We are looking for a motivated Data Engineer ready to take us to the next level! If you have strong experience in building cloud-based data lake and analytics architectures using AWS and Databricks, and is proficient in Python programming for data processing and automation and are looking for your next career move, apply now.
 
Job Description We are looking for a Data Engineer that has experience in building data products using Databricks and related technologies. This position will be Full-time and Remote position. What You’ll Do
 Design, develop, and maintain data lakes and data pipelines on AWS using ETL frameworks and Databricks.
 Integrate and transform large-scale data from multiple heterogeneous sources into a centralized data lake environment.
 Implement and manage Delta Lake architecture using Databricks Delta or Apache Hudi.
 Develop end-to-end data workflows using PySpark, Databricks Notebooks, and Python scripts for ingestion, transformation, and enrichment.
 Design and develop data warehouses and data marts for analytical workloads using Snowflake, Redshift, or similar systems.
 Design and evaluate data models (Star, Snowflake, Flattened) for analytical and transactional systems.
 Optimize data storage, query performance, and cost across the AWS and Databricks ecosystem.
 Build and maintain CI/CD pipelines for Databricks notebooks, jobs, and Python-based data processing scripts.
 Collaborate with data scientists, analysts, and stakeholders to deliver high-performance, reusable data assets.
 Maintain and manage code repositories (Git) and promote best practices in version control, testing, and deployment.
 Participate in making major technical and architectural decisions for data engineering initiatives.
 Monitor and troubleshoot Databricks clusters, Spark jobs, and ETL processes for performance and reliability.
 Coordinate with business and technical teams through all phases of the software development life cycle. What You'll Need Required
 5+ years of experience building and managing Data Lake Architecture on AWS Cloud
 3+ years of experience with AWS Data services such as S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift.
 3+ years of experience building Data Warehouses on Snowflake, Redshift, HANA, Teradata, or Exasol.
 3+ years of hands-on experience working with Apache Spark or PySpark, on Databricks.
 3+ years of experience implementing Delta Lakes using Databricks Delta or Apache Hudi.
 3+ years of experience in ETL development using Databricks, AWS Glue, or other modern frameworks.
 Proficiency in Python for data engineering, automation, and API integrations.
 Experience in Databricks Jobs, Workflows, and Cluster Management.
 Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation is a plus.
 Bachelor’s degree in computer science, Information Technology, Data Science, or related field.
 Experience working on Agile projects and methodology in general.
 Preferred
 Strong SQL, RDBMS, and data modeling skills.
 Experience with Databricks Unity Catalog, Delta Live Tables (DLT), and MLflow for data governance and model lifecycle.
 AWS or Databricks Cloud Certifications (e.g., AWS Data Analytics Specialty, Databricks Certified Data Engineer Professional) are a big plus.
 Understanding data security, access control, and compliance in cloud environments.
 Strong analytical, problem-solving, and communication skills. Physical Demands
 This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc.
 Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor.
 
Reasonable accommodation statement
 If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Senior Data Engineer

Join CAI (Computer Aid, Inc.) and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

CAI (Computer Aid, Inc.)

ABOUT_COMPANY

Lead Developer

Data Engineer

Senior Data Engineer