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Job Description Summary
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and solutions within the Microsoft Azure ecosystem. You will be responsible for developing and optimizing ETL/ELT processes, ensuring data quality, and enabling efficient data access for analytics and business intelligence. We are looking for a hands-on engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies
Key Responsibilities:
Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.
Build and optimize data architectures to support structured and unstructured data processing.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
Implement data quality, security, and governance best practices.
Monitor and troubleshoot data workflows to ensure high availability and performance.
Optimize database and data storage solutions for performance and cost efficiency.
Contribute to cloud adoption, migration, and modernization initiatives.
Mandatory Skills:
Strong expertise with Azure cloud platform.
Strong experience in Databricks
Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built)
Hands-on experience with ETL/ELT tools and frameworks.
Proficiency in SQL, Python, and data modeling.
Knowledge of CI/CD pipelines and infrastructure-as-code tools.
Understanding of data governance, security, and compliance.
Preferred Skills:
Exposure to API integration and microservices architecture.
Strong analytical and problem-solving skills.
Azure cloud certifications and/or past experience
AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS)
Role Summary
Seeking a highly experienced GCP Solution Architect to lead end-to-end Google Cloud architecture for a large energy client expanding its multi-cloud environment (currently Azure and C3 AI). This role requires true architecture ownership, including at least one full GCP implementation or migration.
Key Responsibilities
- Design and implement end-to-end GCP architecture (foundation build + data platform)
- Serve as GCP SME supporting delivery teams
- Architect data ingestion, processing, governance, and modeling solutions
- Enable multi-cloud integration across GCP, Azure, and C3 AI
- Provide technical leadership from design through implementation
Required Experience
- Hands-on Google Cloud architecture experience
- Led at least one end-to-end GCP implementation/migration
- Strong expertise in data management, governance, and analytics architecture
- Experience in enterprise or regulated environments preferred
Oracle HCM Cloud Lead – Functional Consultant
- C2C rate: $80 USD/hr
- Location: Philadelphia, PA (4-days on-site)
- All travel expenses paid
- NO AGENCIES
We are seeking an experienced Oracle HCM Cloud Lead Functional Consultant to lead full lifecycle Oracle HCM implementations and enhancements. The role requires strong expertise in Core HR, Benefits, and Compensation and the ability to translate complex business requirements into scalable Oracle HCM solutions.
Must be extremely client-facing!!!!
Key Responsibilities
- Lead functional workstreams for Oracle Cloud HCM, focusing on Core HR, Payroll, Benefits, and Compensation.
- Conduct requirements gathering, fit-gap analysis, and solution design with business stakeholders.
- Configure and document Oracle HCM solutions including validation rules, workflows, and system configurations.
- Collaborate with technical, integration, and reporting teams to deliver end-to-end system solutions.
- Lead system configuration, testing cycles, UAT, and go-live support.
- Facilitate workshops, design sessions, and governance meetings while serving as the primary functional advisor to stakeholders.
Required Qualifications
- 8+ years of Oracle HCM Cloud functional experience.
- Expertise in Core HR, Payroll, Benefits, and Compensation modules.
- Experience delivering full lifecycle Oracle HCM implementations (2+ preferred).
- Strong knowledge of U.S. HR processes and payroll regulations.
- Experience with UAT planning and execution, stakeholder engagement, and onsite delivery.
- Excellent communication, analytical, and problem-solving skills.
Job Title: IT Business Analyst – Oracle Fusion Cloud
Location: Fort Worth, TX
Work Arrangement: Hybrid (3 days onsite, 2 days remote)
Duration: 6 months
Position Overview:
We are seeking an experienced IT Business Analyst for our Business Unit to support back-office IT operations and drive continuous improvement across our ERP and applications landscape. Working closely with internal IT teams and external service providers, you will play a key role in ensuring stable, compliant, and business-aligned technology services.
Key Responsibilities:
IT Operations & Platform Support
- Support day-to-day operations for ERP and local applications by monitoring system health, validating data flows, and ensuring business stability.
- Partner with internal and external teams to translate operational issues and business needs into actionable IT requirements.
- Serve as the business-facing contact for functional issues, enhancement requests, and process inquiries.
- Support maintenance communications, system downtime announcements, and escalations.
- Align business processes and system usage with global standards, security, and compliance requirements.
Incident, Problem & Request Management
- Coordinate and document incident resolution and communicate business impact to technical teams.
- Participate in major incident triage and communication with stakeholders.
- Support root cause analysis and help define corrective and preventive measures.
- Ensure operational tasks follow established documentation and approval flows.
Supply Chain & Business Partnership
- Collaborate with Supply Chain, Operations, and Finance to clarify business needs and translate them into IT requirements.
- Conduct process analysis to identify gaps or opportunities in supply chain workflows (O2C, P2P, inventory, logistics, manufacturing).
- Validate functional testing and data accuracy across ERP and integrated systems.
- Support documentation and continuous improvement initiatives.
Change, Release & Environment Management
- Coordinate business testing activities and validate release readiness.
- Document requirement changes, assess business risks, and communicate impacts.
- Ensure changes adhere to ITIL-aligned change management processes.
- Validate deployments across DEV/TEST/PROD environments.
Vendor & Service Provider Management
- Collaborate with vendors and delivery teams to ensure requirements are implemented correctly.
- Provide input on service performance, recurring issues, and system usability.
- Coordinate cross-functional teams to ensure timely, quality completion of tasks.
Continuous Improvement & Automation
- Identify opportunities for automation, system standardization, and process improvement.
- Document and validate solutions, and champion adoption across teams.
- Support IT service catalog enhancements and scalable IT capabilities for future growth.
Qualifications:
- Bachelor’s degree in Information Technology, Business, or related field, or equivalent professional experience.
- 4-7+ years’ experience in IT operations or application management, covering multiple business functions (Finance/Supply Chain).
- 2–3 years’ experience in IT Service Management within a Cloud ERP environment.
Technical Skills:
- Oracle Fusion Cloud ERP or similar ERP systems
- Warehouse Management Systems (WMS)
- Middleware/integration platforms (Boomi, Oracle Integration Cloud/OIC, EDI, APIs)
- ServiceNow or comparable ITSM tools
Core Competencies:
- Strong accountability, initiative, and incident management skills
- Able to communicate complex technical/functional topics in clear terms
- Experience balancing competing priorities in a dynamic environment
- Effective cross-functional team player and independently driven
- Proven ability to lead discussions, workshops, and troubleshoot in virtual or matrixed settings
Position - Cloud DevOps Engineer
Location - Chicago, IL ( Need Locals/Onsite )
Duration : 12 Months
Rate : $60/Hr on C2C (Max No rate)
Job Description:
- Design, implement, and maintain scalable and secure cloud infrastructure on Amazon Web Services (AWS).
- Build and manage end-to-end CI/CD pipelines using Harness CI/CD to automate build, test, and deployment workflows.
- Implement and maintain application performance monitoring using Dynatrace.
- Integrate security scanning tools such as Veracode, Wiz, and SonarQube within CI/CD processes.
- Ensure adherence to DevSecOps best practices and compliance standards.
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools (Terraform or CloudFormation).
- Deploy and manage containerized applications using Docker and Kubernetes.
- Implement centralized logging, monitoring, and alerting to maintain system reliability and operational visibility.
- Manage version control systems such as Git, including branching and merging strategies.
- Optimize cloud resources to enhance application performance and reduce infrastructure costs.
- Collaborate with development teams to troubleshoot build, deployment, and environment-related issues.
- Maintain high availability, fault tolerance, and disaster recovery strategies for production systems.
- Monitor system health and respond to production incidents in a timely manner.
- Document infrastructure architecture, deployment processes, and operational procedures.
- Ensure proper configuration management and consistency across environments.
- Participate in release planning and support deployment strategies.
- Implement automated testing and validation steps within the CI/CD workflow.
Murali C
Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance
Join us to build the technical foundation for AI accountability.
The Role
Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.
We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.
The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.
What You'll Do
Months 1–3: Learn the System
Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.
Months 4–6: Build for Scale
Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.
Months 7–12: Expand
Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.
Why This Role Is Difficult
This is infrastructure for a scientific standard, not a product feature.
Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.
You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like \"operationalizing an ethical construct\" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.
The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.
You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.
You're probably the right person if
You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime
You're comfortable with GCP and have deployed containerized workloads in a real production context
You've worked with LLM APIs and understand their reliability and reproducibility characteristics
You can read a paper about measurement methodology and turn it into a working data structure
You build for durability. Your code is still running 18 months later because you thought about the next person
You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook
You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow
You're probably not the right fit if
Enterprise environments make up most of your experience. This is not a large-team context
You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists
You're based on the West Coast US or expect West Coast US working hours
You mainly build user-facing APIs and features — this is systems and infrastructure work
You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.
Hard Skills
These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.
- Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
- Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
- API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
- Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
- LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
- Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
- Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
- Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically
What you get
The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.
The comp: Base salary $110,000.
The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).
The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.
The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.
Key Requirements:
- Strong hands-on experience in C and C++ development (7+ years), including legacy and modern standards
- Extensive experience working in Linux environments (6+ years)
- Experience with API migration and code refactoring
- Familiarity with build systems and installer processes
- Knowledge of cybersecurity principles
- Exposure to PAM, SSH, and gRPC is a plus
Experience: 5–7 Years
Project Scope:
- Web server upgrades
- Git repository migration
- CVE identification and remediation
Hi ,
Position : GPU Lab / Datacenter Integration Engineer (Linux & Network)
Location: San Jose, CA(Hybrid)
Duration: 12+ Months Contract
Open only for Contract.
Need USC & GC Holders only.
15 Minute short video discussion is mandated for Submission.
Job Summary:
- We are seeking a Lab Support Engineer to support networking test lab operations in San Jose. The ideal candidate will have strong hands-on experience with networking hardware setup, test topology creation, and lab equipment management. This role involves working closely with engineering teams to deploy, maintain, and troubleshoot lab infrastructure while automating routine workflows using Python.
Must Have Skills:
- Hands-on experience with routers and switches setup and configuration.
- Experience using network traffic generators (Ixia, Spirent).
- Ability to design and build network test topologies.
- Experience working with terminal servers and optical switches in lab environments.
- Strong troubleshooting and problem-solving skills.
- Basic Python scripting for workflow automation.
- Experience with lab hardware ordering, receiving, and inventory management.
- Excellent verbal and written communication skills.
Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG
TIME Lead Platform Engineer with Python Programming & AWS Cloud - HYBRID ONSITE
Location Flexibility: This role is based 4 days per week in either Boston MA or Needham MA, with occasional travel between offices as needed.
Candidates requiring visa sponsorship are welcome to apply!
FROM THE HIRING MANAGER - for our Platform Engineering team what we’re looking for are people who have experience building technology to be used by other development teams (not business users).
THE POSITION We are currently seeking qualified candidates for a Lead Software Engineer position for our Platform Engineering team which is responsible for designing and building tools and workflows for our internal software engineering teams. These systems will allow them to build and deploy applications effortlessly, allowing them to focus on building business functionality for their users. Your work will directly support enterprise-wide initiatives, helping teams across the organization streamline operations, improve reliability, and accelerate delivery. This role is ideal for someone who enjoys solving complex technical problems and collaborating with other engineers to create highimpact internal platforms. The ideal candidate should have experience enabling IT organizations to work more efficiently, standardize best practices, and reduce friction across the development lifecycle. This includes creating reusable components, automation frameworks, and platform capabilities that empower our engineering teams.
KEYS TO THE POSITION
- 10+ years of experience in software engineering
- Proficient in Python with experience building tools using widely adopted libraries such as Pandas, NumPy, Requests, BeautifulSoup, FastAPI, and SQLAlchemy
- Skilled in packaging, testing, and deploying Python applications using tools like pytest, setuptools, and Docker
- Hands-on experience designing, deploying, and managing cloud-native applications using AWS services (e.g., EC2, Lambda, S3, RDS, CloudFormation), with a strong grasp of scalable and secure architecture principles.
- Experience designing and operating DevOps platforms including CI/CD pipelines, infrastructure as code (e.g., Terraform, Jenkins), and container orchestration using ECS or EKS - Experience designing and operating monitoring, logging, and performance optimization tools (e.g., OpenSearch, Open Telemetry, CloudWatch, X-Ray)
- Excellent written and verbal communication
- Attention to detail, self-discipline, and passion to drive and innovate
- Must be comfortable with test-driven development, continuous integration, and agile development methodologies using tools like GIT, Artifactory, and Jenkins
- Experience working with offshore development teams is a plus
- Bachelor’s degree in computer science, engineering, math, or related field, or equivalent experience is preferred
Estimated Min Rate: $140,000.00
Estimated Max Rate: $165,000.00
What’s In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
- Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
- Health Savings Account (HSA) (for employees working 20+ hours per week)
- Life & Disability Insurance (for employees working 20+ hours per week)
- MetLife Voluntary Benefits
- Employee Assistance Program (EAP)
- 401K Retirement Savings Plan
- Direct Deposit & weekly epayroll
- Referral Bonus Programs
- Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: working/work at home options are available for this role.
Director, Analytics Product Management Business Intelligence Center (Google Cloud) – Hybrid
Houston, Texas – US Citizen or Green Card Only
We are looking for a strategic leader to drive the vision, development, and adoption of advanced analytics and AI solutions across our sales organization. This role will oversee a portfolio of AI-enabled products, including predictive models, generative AI tools, and decision intelligence integrated into CRM and digital platforms, all designed to enhance sales performance and revenue growth.
As a key leader, the Director will partner with senior product managers and cross-functional technical teams to define product strategy, prioritize initiatives, and ensure seamless execution. Success in this role requires a strong blend of technical expertise, business insight, and executive influence, enabling the leader to translate complex AI capabilities into tangible business outcomes and enterprise-wide adoption.
RESPONSIBILITIES
Shape Enterprise Analytics Strategy: Develop and continuously refine the advanced analytics roadmap, ensuring alignment with business priorities and growth goals across local and national sales operations.
Lead AI/ML Product Innovation: Collaborate with data science and engineering teams to create, implement, and scale predictive and generative AI solutions that drive tangible business outcomes.
Team Leadership & Development: Guide, mentor, and grow senior Product Owners and Translators focused on analytics and AI initiatives; provide clear strategic direction and foster a high-performing, collaborative culture.
Executive Communication & Influence: Translate complex analytics into actionable insights for C-suite and senior leaders, securing alignment and executive sponsorship for key initiatives.
Governance & Stakeholder Management: Establish and maintain governance frameworks and executive cadences to prioritize roadmaps and ensure smooth delivery of quarterly product releases.
Portfolio Management: Oversee a suite of analytics products, balancing innovation with compliance and governance, while ensuring usability and integration across business intelligence platforms, CRM, and digital channels.
Drive Adoption & Value Realization: Ensure solutions are embedded into business processes and deliver measurable impact on performance and revenue.
QUALIFICATIONS
Education
- Bachelor's degree in an analytical field (e.g., Engineering, Mathematics, Computer Science, Business).
- MBA or another advanced degree from a top-tier educational institution (preferred)
Experience
- 8+ years in product management or analytics leadership roles, with proven experience delivering AI/ML-drivenproducts atscale.
- Prior experience in a corporate setting or leading a professional services company in an analytical or strategic role, such as Strategy, Finance, or Insights.
- Demonstrated success managing multiple product teams and driving enterprise-wide adoption of analytics solutions.
- 3+ years with Google Cloud
Professional Skills
- Strong problem-solving skills to take ambiguous challenges and develop structured frameworks for defining, analyzing, and solving them.
- Experience shaping enterprise strategies and working with senior leadership to drive alignment and investment.
- Ability to manage ambiguity and guide the organization toward clear and decisive action plans.
- High level of familiarity with digital technologies, including understanding of underlying data architectures, data requirements, and interdependencies between front-end, service layer, and back-end systems.
- Deep understanding of descriptive, predictive, and prescriptive analytics approaches and ability to educate business stakeholders on modeling techniques.
- Strong grasp of business value drivers and the relationship between modeling choices and business impact.
- Ability to establish a collaborative work environment that enables cross-functional teams to execute at a high level.
- Superb verbal, written, and interpersonal skills; fluency in interfacing with both technical and executive teams, and the ability to make complex analytics understandable and actionable.
Equal Opportunity Employer (EOE). We are committed to creating an inclusive environment for all employees and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic.
Let's talk about benefits
Revolution Technologies is proud to offer some of the best rates in the market. Revolution is also pleased to provide a comprehensive benefits package including medical, dental, vision, short-term disability, access to a health savings account, tuition reimbursement, scholarship opportunities, 401k, life insurance, supplemental insurance, and paid time off.
Remote working/work at home options are available for this role.
