Design, develop, and configure ServiceNow Workplace Service Delivery (WSD) applications, workflows, and integrations. Collaborate with architects and stakeholders to provide technical guidance and ensure platform performance optimization.
The consultant will develop, configure, and maintain ServiceNow platform applications and SPO-related functionalities. They will also design workflows, manage integrations with external systems, and collaborate with architects to translate business requirements into technical solutions.
Lead the implementation and enhancement of ServiceNow SAM and HAM solutions while managing asset lifecycles and compliance processes. Collaborate with stakeholders to optimize workflows, troubleshoot technical issues, and provide functional guidance to the project team.
Design and architect enterprise ServiceNow GRC/IRM and TPRM solutions while guiding implementation teams. Ensure technical solutions align with business, risk, compliance, and security requirements through scalable design and integration.
The architect will design and implement scalable ServiceNow Customer Service Management solutions while guiding technical teams. They are responsible for defining architecture, managing integrations, and ensuring alignment with business requirements and best practices.
The developer will design, configure, and enhance ServiceNow Software Asset Management solutions to support license compliance and lifecycle management. They will also maintain platform workflows, integrations, and automation while collaborating with stakeholders to resolve technical issues.
The consultant will gather and document business requirements for ServiceNow ITOM and ITAM initiatives while collaborating with stakeholders to translate needs into functional solutions. They will also support implementation, configuration, and user acceptance testing to ensure effective asset lifecycle management and operational visibility.
The consultant will manage daily SAP IS-U FICA operations, including troubleshooting production issues and monitoring batch jobs. They will also support system integrations and collaborate with stakeholders to implement process improvements.
The consultant will manage daily SAP IS-U CRM operations, including troubleshooting production issues and monitoring batch jobs. They will also collaborate with stakeholders to identify process improvements and ensure seamless integration with other systems.
The role involves researching and identifying prospective corporate clients to generate business opportunities for recruitment and staffing services. You will conduct outreach, schedule meetings with decision-makers, and coordinate with the internal management team to secure vendor empanelment and hiring requirements.
The role involves researching and identifying US-based companies to generate leads for offshore staffing opportunities. You will conduct outreach, qualify prospects, and coordinate discovery meetings between potential clients and the FyerX management team.
The Junior Talent Acquisition Specialist will manage the end-to-end recruitment process for technical roles, including sourcing, screening, and coordinating interviews. They are responsible for maintaining candidate databases, ensuring a positive candidate experience, and meeting specific hiring targets.
Configure and enhance ORO Labs intake forms, approval workflows, and business logic while managing platform integrations. Collaborate with cross-functional teams including Procurement, Legal, and Finance to support enterprise system integrations and production troubleshooting.
The Junior Business Development Associate will identify and research potential clients to generate qualified leads for recruitment and staffing services. They will manage the full sales cycle, including cold outreach, client presentations, vendor empanelment, and maintaining relationships within a CRM system.
Lead end-to-end Dynamics 365 F&O solution architecture, including cross-module workflows, data models, integrations, and Clean Core governance. Oversee custom code reviews, deployment pipelines, and architecture reviews across environments.
Lead enterprise data strategy and design, including data models, cloud data lakes and warehouses, data integration standards, and governance frameworks. Establish privacy, security, retention, and performance practices while guiding cross-functional technical teams and aligning data architecture with business objectives.
Design and operate highly available, scalable database clusters, optimizing query performance and managing replication, backups, and disaster recovery. Automate database maintenance and monitoring, resolve production performance issues, and enforce data security and governance controls.
Design, build, and optimize scalable data ingestion and ELT/ETL pipelines, cloud data platforms, and structured data layers for business intelligence and data science. Orchestrate workflows, enforce data quality and access controls, and improve query performance and cloud resource efficiency.
Design and deploy production-grade LLM applications, RAG pipelines, and multi-agent workflows that connect enterprise data and systems with foundation models. Build secure, observable, and cost-efficient middleware and integrations, including safeguards, evaluation, caching, and performance monitoring.
Conduct network, web application, and cloud penetration tests, red-team simulations, and vulnerability assessments, including exploit development and social engineering. Document findings and remediation guidance, verify fixes, and collaborate with defensive teams to improve SIEM monitoring and security alerts.
Design, build, and deploy custom applications on Workday Extend, including user interfaces, data structures, workflows, API integrations, and security controls. Optimize application performance and validate custom applications against semi-annual Workday releases.
Design and maintain security governance frameworks, lead enterprise risk assessments, and prepare for audits across standards such as ISO 27001, SOC 2 Type II, NIST, PCI-DSS, GDPR, and HIPAA. Manage vendor risk and internal control audits, deliver security awareness training, and coordinate compliance evidence and risk reporting with executives and external auditors.
Build and operate automated machine learning and generative AI pipelines for training, deployment, serving, and monitoring models in secure, scalable container environments. Manage model and data versioning, performance and drift monitoring, inference optimization, LLMOps infrastructure, and access controls.
Design and govern FinOps frameworks across AWS, Azure, and GCP, analyzing cloud usage and billing data to identify waste, manage commitments, and build cost alerts, forecasts, and dashboards. Lead cost-efficiency work with DevOps and SRE teams and support cloud vendor pricing and enterprise agreement negotiations.
Configure and optimize ServiceNow Security Incident Response and Vulnerability Response modules, integrating security tools and automating incident and remediation workflows. Manage vulnerability prioritization, access controls, CMDB reconciliation, testing, and analyst training.
Design and optimize production-grade RAG pipelines, including document ingestion, semantic enrichment, chunking, hybrid retrieval, reranking, and context-window management. Build semantic caching and monitor retrieval accuracy, hallucination rates, latency, and token costs to improve grounded AI responses.
Design and optimize Workday Prism data pipelines, transformations, reporting frameworks, secure RaaS endpoints, and access controls for enterprise analytics. Build executive dashboards and Discovery Boards, and monitor ingestion and processing performance to support business decisions across HR, payroll, and finance.
Design and govern an enterprise MuleSoft API network, including integration blueprints, runtime infrastructure, security policies, and optimized DataWeave transformations. Lead architecture reviews and establish resilient exception handling, logging, testing, and automated CI/CD deployment practices.
Design and govern secure, scalable public and hybrid cloud architectures, including enterprise networks, automated landing zones, identity structures, and high-availability and disaster recovery systems. Lead cloud migration strategies and chair architecture reviews to ensure deployments meet organizational policies and avoid configuration drift.
Lead fine-tuning and alignment of open-source language models, including dataset preparation, preference optimization, quantization, and rigorous evaluation. Manage distributed training and collaborate with MLOps teams to prepare model checkpoints for cloud deployment and real-time inference.
