Legacybox Cloud Subscription Jobs in Usa

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.

Senior Dynatrace Engineer responsible for designing, implementing, and maintaining enterprise monitoring solutions. The role focuses on ensuring end-to-end observability across applications, infrastructure, and cloud environments using Dynatrace. The engineer will also provide expertise in performance monitoring, troubleshooting, and proactive incident management.

Key Responsibilities

Monitoring & Observability

· Configure, maintain, and optimize monitoring solutions using Dynatrace.

· Provide end-to-end visibility across infrastructure, applications, and services.

· Develop dashboards, alerts, and health checks to monitor system performance.

· Define monitoring thresholds to reduce false alerts and improve reliability.

Infrastructure Monitoring

· Monitor Windows and Linux servers, virtual environments (VMware), and cloud platforms (AWS, Azure, GCP).

· Monitor databases, middleware, and network infrastructure components.

· Identify system trends and capacity requirements with infrastructure teams.

· Proactively detect and resolve system performance issues.

Application Performance Monitoring

· Monitor application performance and transaction flows using Dynatrace APM.

· Implement synthetic monitoring and real user monitoring.

· Collaborate with development teams to ensure comprehensive monitoring coverage.

· Troubleshoot performance issues across applications and systems.

Incident Management

· Support incident response activities related to performance and availability issues.

· Provide monitoring insights during root cause analysis.

· Identify monitoring gaps and improve monitoring coverage.

Continuous Improvement

· Improve monitoring standards, documentation, and best practices.

· Recommend enhancements to monitoring configurations and alerting strategies.

· Integrate monitoring tools with ITSM platforms such as Jira or ServiceNow.

Required Qualifications

Education

· Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

Experience

· Minimum 5+ years of experience in systems engineering, infrastructure support, or monitoring roles.

· 5+ years hands-on experience with Dynatrace or similar APM tools.

· Experience migrating Dynatrace Managed to Dynatrace SaaS environments.

Technical Skills

· Strong knowledge of Windows/Linux servers and VMware environments.

· Experience with cloud platforms (AWS, Azure, GCP).

· Understanding of networking concepts such as DNS, TCP/IP, and load balancing.

· Experience with automation or scripting (PowerShell, Bash).

· Knowledge of monitoring baselines, KPIs, and SLAs.

· Familiarity with enterprise log analysis frameworks and tools like Jira or ServiceNow.

· Experience monitoring containerized environments such as Kubernetes (preferred).

Preferred

· Exposure to AWS Solution Architect Professional Certification.

Soft Skills

· Strong troubleshooting and analytical skills.

· Excellent written and verbal communication.

· Ability to collaborate across technical and business teams.

· Detail-oriented with a proactive approach to system monitoring and reliability.