Job Description: We are seeking an experienced Oracle Cloud HCM Payroll Functional Consultant with deep expertise in U.S. Payroll to support payroll operations, compliance, and costing configuration. The ideal candidate will be responsible for implementing, maintaining, and troubleshooting payroll processes while ensuring compliance with multi-state tax laws and financial reconciliation. Key Responsibilities: Payroll Functional Configuration: Configure and maintain Oracle Cloud Payroll components including: Payroll definitions, elements, and balance definitions Fast formulas and costing setups (element/department-level) Payroll flows and retroactive calculations Troubleshoot payroll runs and support year-end processing Taxation & Compliance: Ensure payroll configurations comply with U.S. federal, state, and local tax regulations Monitor tax updates and implement legislative changes in the system Support tax reporting processes (W-2, quarterly filings, remittances) Costing & Financial Integration: Configure and reconcile payroll costing and account combinations Validate and analyze payroll costs with ERP Identify and recommend corrective actions for discrepancies Mandatory Skills: Hands-on experience in Oracle Cloud HCM Payroll (U.S. Payroll) Strong knowledge of payroll taxation including multi-state scenarios Proven experience in payroll costing configuration and reconciliation Good to Have Skills: Familiarity with third-party tax/garnishment services (e.g., ADP, Equifax) Experience with timekeeping systems (e.g., Kronos) Knowledge of related Oracle modules such as Benefits and Compensation Understanding of Agile/Waterfall methodologies and project documentation Show more Show less
We are seeking two highly skilled Cloud & Data Engineering Specialists to join our dynamic team. These roles will focus on designing, building, and optimizing scalable cloud-based solutions, data pipelines, and analytics platforms. The ideal candidates will have strong expertise in cloud platforms, data engineering, and modern technologies, with a focus on delivering robust, secure, and efficient data solutions. Location: Off-Shore (India) Work-Hours: Overlap till 12pm CST Key Responsibilities: Design and implement cloud solutions across Azure, AWS, and GCP platforms. Develop and optimize data pipelines using PySpark, Python, and SQL. Build and manage ETL workflows using Azure Data Factory (ADF). Work with big data technologies such as Apache Spark and Databricks to process large datasets. Design and deliver dashboards and reports using Tableau and Power BI. Implement DevOps practices, including version control with Git, CI/CD pipelines, and containerization using Docker. Collaborate with stakeholders to gather requirements and deliver scalable data solutions. Key Skills: Proficiency in Azure, AWS, and GCP cloud platforms. Strong programming skills in Python, SQL, and PySpark. Experience with Snowflake and SQL Server databases. Expertise in ETL tools like Azure Data Factory (ADF). Hands-on experience with Apache Spark and Databricks for big data processing. Proficiency in reporting tools such as Tableau and Power BI. Knowledge of DevOps practices, including Git, CI/CD pipelines, and Docker. General Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). 5+ years of experience in cloud and data engineering roles. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Proven ability to work in a fast-paced, agile environment.
Exp:4-7 years Location:remote Contract duration: 6 months + extendable Role Summary: We are looking for a ServiceNow Developer proficient in Now Assist, App Engine workflow automation Must-have Skills ServiceNow Development: Design, develop, and maintain custom ServiceNow applications and modules, including ServiceNow ITSM, ITOM, SecOps and App Engine (custom apps). Knowledge of development using templates and Generative/Agentic AI Knowledge of ServiceNow Now Assist and development of flow for App Engine is mandatory Platform Configuration: Configure and manage ServiceNow modules (ITSM, ITOM, SecOps, App Engine etc.), workflows, UI policies, business rules, and UI actions. Scripting: Write and modify scripts in JavaScript (both client and server-side), ServiceNow scripting languages (Business Rules, Script Includes, UI Scripts, etc.), Open AI Integrations to automate processes. Integration: Integrate ServiceNow with other systems (e.g., LDAP, Active Directory, third-party applications) using SOAP, REST, and other web services APIs, other ITSM data and Open AI integrations Troubleshooting and Support: Provide ongoing support, troubleshooting, and maintenance of the ServiceNow platform, ensuring continuous service availability. Security and Performance: Implement best practices to optimize the performance and security of ServiceNow environments. Ensure compliance with security policies and standards. Upgrades & Patches: Assist with ServiceNow version upgrades and patching, ensuring smooth deployment with minimal downtime. Documentation: Develop and maintain technical documentation for custom applications, workflows, and integrations. Provide knowledge transfer to other team members as needed. Ready to explore and quickly learn new things required at work as mandated by the project requirement
Azure AI Architect Define overall architecture using Azure App Services, Blob Storage, Azure Cognitive Search (or OpenAI integration), and RBAC security Design for scalability, modularity, and secure document handling Plan metadata models, tagging, and content relationships Integrate with identity providers (Azure AD), DevOps tools, and admin workflows Guide the design of AI-powered search and recommendation engineer
Job Profile : DevSecOps Architect Proven track record in leading large-scale, complex projects with more than 15 years of experience in enterprise security architecture and governance using cloud technologies. Deep knowledge of advanced DevSecOps methodologies and frameworks. Strong stakeholder management and communication skills for executive-level interactions. Experience in mentoring and developing talent within the organization. Expertise in implementing and managing enterprise-wide security and compliance programs. Excellent leadership skills to manage cross-functional teams and drive DevSecOps initiatives. Solid understanding of AWS services and infrastructure. Proficiency in .NET and Python programming. Hands-on experience with Infrastructure as Code (IaC) tools like Terraform. Proficiency in CI/CD pipelines and automation tools. Familiarity with AI and machine learning integration and knowledge of new age AI tools / infrastructure to assist DevSecOps. Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Expertise in threat modeling, vulnerability assessment, and compliance standards..
Microservices Solution Architects Budget: 1.4-1.5 LPM + GST Exp-10+ Years Remote, US/Mexico Time zone Experience with Software & Cloud Architecture • Designs the solution architecture to address business requirements, including the design of multiple solution components and / or design of the functional architecture for one or more functions of the enterprise, solving complex problems in realms where solutions may not currently exist and focused on Public Cloud • Holistically evaluates the architecture and applies deep technical expertise to understand the business impact of a technical component, recommending and implementing new solutions / ways of working / technologies to meet business requirements • Contributes to sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk and enforcing governance and compliance activities for the solution • Develops relationships across the business to understand requirements, applies deep technical knowledge of solution and technical architecture to solve business problems and works closely with other architecture and development teams to translate business requirements into technical solutions • Cutting Edge technologies and Microservices Architecture on a Hybrid environments between Public Cloud and Private Cloud centered on Container Orchestrators at large scale like Kubernetes