Design and operate a cloud-native AWS Lakehouse platform to support AI/ML, analytics, and reporting workloads. Develop scalable batch and streaming data pipelines while implementing robust governance, metadata management, and automated CI/CD processes.
The Senior Technical Lead will provide technical leadership for the AI Cybersecurity Program, overseeing the evaluation, selection, and implementation of AI security capabilities. They will partner with cross-functional teams to ensure solutions align with enterprise architecture and operational requirements.
The consultant will perform record-by-record reconciliation and validation of budget data during the migration from PeopleSoft to Workday. They are responsible for identifying data quality issues, documenting findings, and ensuring the integrity of the Financial Data Model integration.
The developer will design, code, test, and document system applications while collaborating with other staff to ensure quality and consistency. They are responsible for preparing technical design specifications and participating in architecture and code reviews.
The developer will design and build responsive, accessible public-facing portal interfaces for data exploration and visualization. They will also integrate geospatial maps, interactive charts, and RESTful APIs while ensuring compliance with accessibility standards.
The Technical Lead will drive innovation and collaboration across diverse engineering teams while implementing modern software practices and DevSecOps methodologies. They are responsible for technical design, solutioning, and managing high-impact events to ensure system maturity and operational excellence.
The consultant will configure and optimize Workday Recruiting subprocesses, including offer letters, employment agreements, and onboarding workflows. They will also design and implement personalized employee journeys globally, collaborating with HR teams to digitize policies and engagement campaigns.
Design and implement scalable data solutions using Databricks Lakehouse architecture while developing and maintaining robust ETL/ELT pipelines. Collaborate with stakeholders to ensure data quality, governance, and performance optimization across enterprise data platforms.
The architect will lead the design and strategy for enterprise-level Salesforce solutions, focusing on Sales, Service, and Marketing Cloud implementations. They are responsible for overseeing technical leadership, system integrations, and the deployment of AI-driven features like Einstein and Agentforce.
Provide front-line production support for Murex MX.3, including incident triage, root cause analysis, and system monitoring. Manage vendor cases, support production releases, and maintain operational documentation to ensure platform stability.
The Salesforce Architect will be responsible for designing and implementing complex Salesforce solutions across Sales and Service Clouds. They will lead enterprise architecture initiatives, focusing on AI integration, automation, and secure data governance.
Define and drive the Data and AI platform architecture using Databricks and modern lakehouse design patterns. Architect secure LLM and GenAI enablement patterns while designing agentic AI capabilities for data platform operations.
The Project Manager will lead the engagement across gas project development activities, including technology due diligence, FEED studies, and construction readiness. They are responsible for managing project budgets, schedules, risks, and coordinating with cross-functional teams to ensure successful project delivery.
The Data Scientist will analyze and validate new data sources to uncover business insights and support strategic initiatives. They will collaborate with cross-functional teams to translate business requirements into actionable analytical solutions.
The engineer will support the build-out of an on-premises failover environment and manage the onboarding of critical applications. Responsibilities include maintaining Kubernetes clusters and ensuring robust CI/CD automation across clearing, settlement, and risk platforms.
The Databricks Administrator will manage, secure, and support scalable Databricks environments, including workspaces, clusters, and jobs. They will also handle security policies, platform performance monitoring, and collaborate with data engineering and cloud teams.
The Senior Product Manager will lead product teams end-to-end, defining the product vision, strategy, and roadmap. They are responsible for managing the product lifecycle, backlog, and stakeholder communication while translating business needs into technical solutions.
Lead teams in building and modernizing applications while remaining hands-on with coding, architecture, and troubleshooting. Establish technical direction and mentor developers in the responsible and effective use of AI-assisted development tools.
The role involves managing operations and compute resources while adhering to major incident and change management processes. You will be responsible for prioritizing tasks based on severity and utilizing Microsoft Office tools to support daily operations.
The Network System Administrator is responsible for configuring, monitoring, and managing network performance to ensure high quality of service. This role involves troubleshooting, engineering infrastructure, and maintaining secure network connections.
The role involves designing and maintaining high-quality executive presentations and templates to support leadership reporting. It requires translating complex cybersecurity and technical information into clear, compelling visual narratives for senior stakeholders.
The role involves performing functional testing on AI agent workflows and validating LLM responses for accuracy, consistency, and hallucination rates. Responsibilities also include developing automation scripts and testing RAG pipelines and multi-agent interactions.
Design and implement advanced AI-driven solutions within the ServiceNow platform to automate IT operations and service desk workflows. Lead the architecture of enterprise-level AI integrations, ensuring robust governance, risk management, and compliance standards.
The Cyber Security Architect will develop and implement cybersecurity strategies and compliance roadmaps for products in accordance with industry standards like IEC 62443. They will act as a subject matter expert, providing guidance to development teams and evaluating existing products for security compliance.
Lead and support the Workday implementation project for Zuora, focusing on financial operations and HRIS modules. Configure business processes, manage integrations, and provide end-user training and post-go-live support.
The AI Lead Engineer will oversee the development and deployment of advanced AI models and machine learning solutions. They are responsible for managing the end-to-end lifecycle of AI projects, including model training, evaluation, and productionization within cloud environments.
Lead the functional design, implementation, and optimization of SAP ATTP programs while collaborating with business stakeholders and external partners. Manage the integration of serial number flows, configure system repositories, and ensure compliance with global pharmaceutical regulations.
The analyst will perform deep system analysis and lead solution-focused discussions to drive scalable outcomes across enterprise platforms. They will also partner with stakeholders to manage product backlogs and ensure technical solutions align with operational controls and enterprise standards.
The developer will design and implement allocation rules, custom calculations, and profitability models within the Oracle EPM environment. They are responsible for managing dimensions, optimizing model performance, and ensuring accurate financial reporting and data integration.
Manage end-to-end project delivery for strategic payments and credit card initiatives. Collaborate with account management and key stakeholders to ensure project timelines, budgets, and quality standards are met.
The specialist will design and develop integration strategies between Oracle EPBCS and enterprise Data Lake platforms. They are responsible for building data pipelines, implementing validation processes, and ensuring data consistency across systems.
Lead MTS development and support for system enhancements, migrations, and upgrades. Perform issue investigation, production support, and configure various MTS components.
The ITSM Administrator provides configuration and administrative support for the Atlassian tool suite, including Jira and Confluence. Additionally, the role focuses on automating and integrating a Health AI chatbot with existing systems and applications.
