Terraform Cloud Jobs in Usa

Role: Salesforce Sales cloud technical consultant

Location: Boston, MA

Hire Type: Full Time

Must Have Technical/Functional Skills

• Sales cloud certification mandatory

• Banking and financial services experience is required

• Seasoned technical consultant with expertise in sales cloud and implementation experience

• Experience in salesforce org merge, integration and data quality/migration design

• Experience in designing and developing software components and having a very strong Service Oriented Architecture and integration background.

• integration experience, including between different business systems as well as working with integration tools.

• Understanding programming using Salesforce SFDC, , Java, JavaScript, and XML and their use in the development of CRM solutions.

• Strong experience with configuration of sales cloud

• Ability to define the system landscape, to identify gaps between current and desired end-states, and deliver a CRM solution.

• Strong knowledge in data migration and integration

Roles & Responsibilities

• Lead dev and support teams

• Leading sales cloud landscape and projects, creating product roadmap and implementation strategy

• Guiding teams with implementation, devops and integration best practices

• Hands on work on the existing salesforce implementation

• Co-ordinate with business and IT stakeholders for support

• Onsite-offshore co-ordination

• Report regular progress on projects

• Regular connect and workshops with business leaders and IT execs

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

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.

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.

Account Executive x2 (NYC)

Recently-funded Cloud Security

We’re partnering with a high-growth cloud security vendor who has already landed top-tier customers, strong US traction, and backing from elite global investors. They’re now launching their first US GTM team in New York and hiring 2 additional AEs to help scale revenue and grow into future enterprise sellers.

This is a chance to join a technical, product-led security company right at the inflection point: real traction, small team, and huge upside.

Ideal Candidate Profile:

• 3–6 years in B2B SaaS sales, ideally cybersecurity, DevOps or developer tooling
• Currently an SMB / Commercial / Mid-Market AE closing deals up to $100k ARR
• Technical enough to sell to security engineers and CISOs
• True builder mentality: can create pipeline, not just work it
• Hungry, ambitious, emotionally intelligent and ready to grow into enterprise
• Startup or early-stage experience a strong plus

If this sounds interesting, apply to this advert to find out more.

RESPONSIBILITIES

• Full lifecycle global implementations of Oracle HCM with a focus on: ORC, Talent/Learning Management
• Hands-on configuration working with functional set up manager across Cloud modules
• Leverage Apps Associates project templates, methodology and practices to lead project and guide client teams
• Owning project deliverables and client communications to optimize project timeline
• Collaboration with multi-national team to progress internal and external initiatives
• Independently tackles activities and assignments and delegates to teammates, as appropriate, to achieve streamlined implementation approach
• Connecting Oracle Fusion to 3rd Party solutions via native integrations, extracts, and middleware
• Translating the technical and the functional for all project team members – customer and internal
• Serve as a conduit and champion of change and business transformation
• Demonstrate experience and expertise in the design and execution of implementation and testing, executive and internal communications and the ability to work independently
• Develop work plan, follow and deliver in line with Fusion Implementation Roadmap and Methodology
• Lead groups in business process re-engineering, best practices and customization issues. Shares suggestions and knowledge capital to help optimize implementation methodology
• Lead business process workshops and requirements gathering sessions to support clients in defining relevant processes
• Analyze business requirements and develop effective configuration solutions.
• Drive and document business requirements and procedures, obtain sign off to ensure Client alignment of proposed solution
• Provide inputs to the assigned Project Manager to ensure a comprehensive project plan developed and buy-in from key client stakeholders. Support the implementation of the technical and functional work stream
• Responsible for successful testing of developed solution including System Integration Testing and User Acceptance Testing and work with the users to validate the solution
• Document and track customer product enhancement requests and discovered bugs
• Able to coordinate with Oracle for SRs, new product releases, ability to coordinate upgrades/patches/fixes
• Seek opportunities to streamline and optimize internal and external processes
• Responsible for advanced internal initiatives and mentorship for the betterment of the Practice

QUALIFICATIONS

• Bachelor’s Degree or requisite experience preferred
• 3-4 years of consulting experience or 7-9 years of applicable work experience, specifically within Oracle Cloud Recruiting (ORC), Talent and/or Learning Management.
• Professional attitude, with a growth mindset seeking to drive change and improvement in all aspects of the role
• Experience implementing projects using Agile Iterative approach
• Understanding of Oracle design best practices and standard business process flows
• Ability to meaningfully articulate terminology, processes, functionality, and architecture
• Oracle certification(s) preferred, with the ability to acquire and maintain various additional certifications
• Self-motivated and independent with the ability to effectively listen and communicate
• Willingness to join a dynamic, multinational team
• Values diversity of thought and collaboration
• Ability to continue to grow and learn despite existing expertise
• Functional practitioner experience in HR is preferred
• Expertise in at least 3 modules of Oracle in your Subject Area of expertise
• Fluency in English is requested