TEKsystems
Description
This resource will work hands‑on to deliver scalable, secure, and high‑performing systems for analytics, reporting, and machine learning on a petabyte scale.
CLOUD DATA ARCHITECTURE DESIGN & IMPLEMENTATION
Must be capable of architecting and building scalable, secure cloud‑based platforms for analytics, reporting, data lakes, warehouses, and machine learning workloads.
Should be able to deliver systems supporting both real‑time and batch analytics.
AI/ML PIPELINE DEVELOPMENT
Required to create, deploy, and monitor end‑to‑end AI/ML solutions, encompassing data preprocessing, modeling, inference, and solution improvement.
Must automate workflows using MLOps, CI/CD, and orchestration tools, ensuring experimentation, scalability, and operational efficiency.
DATA MODELING, INTEGRATION, & QUALITY
Must deliver robust data models, metadata, and taxonomy strategies suitable for large, distributed data architectures.
Expected to support and maintain high‑quality data integration, lineage, and lifecycle management processes.
TECHNOLOGY EVALUATION & SOLUTIONING
Responsible for researching, recommending, and implementing appropriate technologies related to cloud, big data, analytics, and ML.
Must be able to lead proofs‑of‑concept and pilot implementations.
SECURITY, PRIVACY, & COMPLIANCE
All work must adhere to data security, privacy, and compliance standards.
Must coordinate with relevant teams to meet regulatory benchmarks and ensure secure, compliant solutions.
TECHNICAL COLLABORATION & DOCUMENTATION
Must collaborate effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery.
Responsible for producing clear technical documentation, diagrams, and supporting artifacts.
SYSTEM OPTIMIZATION & TROUBLESHOOTING
Must monitor and maintain optimal performance and cost-effectiveness of delivered solutions; required to troubleshoot and resolve issues proactively.
CONTINUOUS LEARNING & INNOVATION
Expected to remain informed about current trends in cloud, data, and AI/ML and to recommend architectural improvements based on industry best practices.
REQUIRED QUALIFICATIONS
Bachelor's degree in Computer Science required.
5+ years of hands‑on experience in distributed computing architecture.
Significant hands‑on experience in cloud architecture (e.g., AWS, Azure), big data platforms, and end‑to‑end data solution workflows.
Demonstrated expertise in machine learning/AI frameworks, platforms, and MLOps.
Proven record of building, optimizing, and documenting scalable cloud, data, and ML solutions.
Ability to diagram architectures at multiple levels of detail, ranging from conceptual to detailed implementation.
Ability to document every aspect of work, including technical decisions, architectures, workflows, and operational procedures.
Strong skills in technical communication, documentation, and cross‑functional collaboration.
Skills
azure
aws
big data
ai/ml
cloud architecture
Job Type & Location This is a Contract position based out of San Jose, CA.
Pay and Benefits The pay range for this position is $70.00 - $75.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms.
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre‑tax and Roth post‑tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long‑term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type This is a fully onsite position in San Jose, CA.
Application Deadline This position is anticipated to close on Nov 16, 2025.
About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full‑Stack Technology Services, Talent Services, and real‑world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
Equal Opportunity Employer Statement The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
#J-18808-Ljbffr
CLOUD DATA ARCHITECTURE DESIGN & IMPLEMENTATION
Must be capable of architecting and building scalable, secure cloud‑based platforms for analytics, reporting, data lakes, warehouses, and machine learning workloads.
Should be able to deliver systems supporting both real‑time and batch analytics.
AI/ML PIPELINE DEVELOPMENT
Required to create, deploy, and monitor end‑to‑end AI/ML solutions, encompassing data preprocessing, modeling, inference, and solution improvement.
Must automate workflows using MLOps, CI/CD, and orchestration tools, ensuring experimentation, scalability, and operational efficiency.
DATA MODELING, INTEGRATION, & QUALITY
Must deliver robust data models, metadata, and taxonomy strategies suitable for large, distributed data architectures.
Expected to support and maintain high‑quality data integration, lineage, and lifecycle management processes.
TECHNOLOGY EVALUATION & SOLUTIONING
Responsible for researching, recommending, and implementing appropriate technologies related to cloud, big data, analytics, and ML.
Must be able to lead proofs‑of‑concept and pilot implementations.
SECURITY, PRIVACY, & COMPLIANCE
All work must adhere to data security, privacy, and compliance standards.
Must coordinate with relevant teams to meet regulatory benchmarks and ensure secure, compliant solutions.
TECHNICAL COLLABORATION & DOCUMENTATION
Must collaborate effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery.
Responsible for producing clear technical documentation, diagrams, and supporting artifacts.
SYSTEM OPTIMIZATION & TROUBLESHOOTING
Must monitor and maintain optimal performance and cost-effectiveness of delivered solutions; required to troubleshoot and resolve issues proactively.
CONTINUOUS LEARNING & INNOVATION
Expected to remain informed about current trends in cloud, data, and AI/ML and to recommend architectural improvements based on industry best practices.
REQUIRED QUALIFICATIONS
Bachelor's degree in Computer Science required.
5+ years of hands‑on experience in distributed computing architecture.
Significant hands‑on experience in cloud architecture (e.g., AWS, Azure), big data platforms, and end‑to‑end data solution workflows.
Demonstrated expertise in machine learning/AI frameworks, platforms, and MLOps.
Proven record of building, optimizing, and documenting scalable cloud, data, and ML solutions.
Ability to diagram architectures at multiple levels of detail, ranging from conceptual to detailed implementation.
Ability to document every aspect of work, including technical decisions, architectures, workflows, and operational procedures.
Strong skills in technical communication, documentation, and cross‑functional collaboration.
Skills
azure
aws
big data
ai/ml
cloud architecture
Job Type & Location This is a Contract position based out of San Jose, CA.
Pay and Benefits The pay range for this position is $70.00 - $75.00/hr.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms.
Medical, dental & vision
Critical Illness, Accident, and Hospital
401(k) Retirement Plan - Pre‑tax and Roth post‑tax contributions available
Life Insurance (Voluntary Life & AD&D for the employee and dependents)
Short and long‑term disability
Health Spending Account (HSA)
Transportation benefits
Employee Assistance Program
Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace Type This is a fully onsite position in San Jose, CA.
Application Deadline This position is anticipated to close on Nov 16, 2025.
About TEKsystems We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full‑Stack Technology Services, Talent Services, and real‑world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
Equal Opportunity Employer Statement The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
#J-18808-Ljbffr