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Job DescriptionRole Summary We are seeking a hands-on Loan IQ Infrastructure and Automation Consultant with strong understanding of the Loan IQ ecosystem. The consultant will install, configure, automate, and enable Loan IQ platform capabilities by leveraging Finastra Loan IQ documentation and best practices. Key Responsibilities • Install, configure, and maintain Finastra Loan IQ environments (DEV, SIT, UAT, PROD)., • Perform Loan IQ upgrades, hotfixes, and patching activities. • Configure Loan IQ components including application servers, web components, schedulers, and utilities., • Analyze Finastra Loan IQ documentation and release notes to understand and enable platform features. • Implement automation for environment builds, deployments, refreshes, and recurring operational tasks. • Support environment refreshes, troubleshooting, and post-refresh stabilization. • Collaborate with application, infrastructure, DBA, and vendor teams. Required Skills & Experience • Strong experience with Loan IQ infrastructure and technical configuration., • Hands-on experience with Loan IQ installation and environment setup., • Ability to interpret and apply Finastra Loan IQ documentation for feature enablement., • Experience with automation and scripting (PowerShell, Shell, or equivalent)., • Working knowledge of SQL Server and/or Oracle databases., • Experience supporting financial services or regulated environments. Preferred Skills • Experience with cloud-hosted Loan IQ environments (AWS or Azure)., • Familiarity with CI/CD pipelines and infrastructure automation., • Exposure to Loan IQ integrations and interfaces., • Experience with monitoring and logging tools. Engagement Type Consultant / Contract role (hands-on delivery focused)

Job Description Description: \tResponsible for various tasks related to IT hardware including inventory management, hardware break/fix and warranty support, setting up and collecting equipment from desks, preparing computers for deprecation and assisting with computer setups to distribute to staff. \tBasic responsibilities: \tInventory and asset management for all compute and mobile dev devices \tBasic technical support triage including break/fix repairs \tOS imaging for new deployments and secure wiping for recycling/donations \tFacility-related project work such as desk setups and teardowns for new hires and terminations \tHardware cleaning and refurbishment \tIT asset distribution and shipping/tracking logistics \tTech Ops project assistance \tRequired skills: \tA current CompTIA A+ certification \tOne year of experience with IT asset management \tDetail oriented with proven track record of success in a fast-paced, team environment \tCustomer-focused and good communication \tAbility to lift 30 lbs. and handle physical work related to IT assets and material goods

Job Description Position: senior test engineer Days onsite: 2 days a week onsite Location: 95 christopher columbus Blvd in Jersey city, NJ or 1 World trade center in NYC. Contract: 3 months extendable Interview process: 1 and done but possibly 2 if everyone cant get on the call Testing Expertise: • Automation Testing : Strong experience in automated testing frameworks, • Microservices Testing :, • API-level testing for ~12 microservices, • Familiarity with RESTful interfaces (7018P), • UI Testing :, • Web front-end testing, • Tools: Selenium, Jasmine (mentioned), others welcome, • Regression Testing :, • Maintain and expand a large regression test suite, • Thousands of existing tests across services Frameworks & Tools • Cucumber :, • Heavy use of Groovy-based Cucumber (open to Java/Kotlin variants), • Will be building out cucumber-based regression and smoke test suites, • JMeter :, • Currently used for smoke/regression testing, • Limitations noted in integration and reporting, • Load Testing :, • Build from scratch a performance/load testing suite, • Simulate steady-state, batch, and spike scenarios, • Tools: JMeter, Gatling, or others welcome Responsibilities: • Take ownership of existing test suites and expand/optimize them, • Build new test frameworks (especially for load/performance), • Clean up and reorganize legacy cucumber tests, • Integrate test results with reporting frameworks (e.g., Scale), • Work independently with minimal hand-holding, • Collaborate with dev teams to understand service functionality and test coverage needs Candidate Profile: • Self-starter: Can jump in with minimal onboarding, • Testing "guru : Deep experience across UI, API, and performance testing, • Flexible with tech stack: Comfortable switching between Groovy, Java, Kotlin, etc., • Not necessarily a Java expert, but must understand service functionality and testing logic

Job DescriptionPosition: senior test engineer Days onsite: 2 days a week onsite Location: 95 christopher columbus Blvd in Jersey city, NJ or 1 World trade center in NYC. Contract: 3 months extendable Interview process: 1 and done but possibly 2 if everyone cant get on the call Testing Expertise: • Automation Testing: Strong experience in automated testing frameworks, • Microservices Testing:, • API-level testing for ~12 microservices, • Familiarity with RESTful interfaces (7018P), • UI Testing:, • Web front-end testing, • Tools: Selenium, Jasmine (mentioned), others welcome, • Regression Testing:, • Maintain and expand a large regression test suite, • Thousands of existing tests across services Frameworks & Tools • Cucumber:, • Heavy use of Groovy-based Cucumber (open to Java/Kotlin variants), • Will be building out cucumber-based regression and smoke test suites, • JMeter:, • Currently used for smoke/regression testing, • Limitations noted in integration and reporting, • Load Testing:, • Build from scratch a performance/load testing suite, • Simulate steady-state, batch, and spike scenarios, • Tools: JMeter, Gatling, or others welcome Responsibilities: • Take ownership of existing test suites and expand/optimize them, • Build new test frameworks (especially for load/performance), • Clean up and reorganize legacy cucumber tests, • Integrate test results with reporting frameworks (e.g., Scale), • Work independently with minimal hand-holding, • Collaborate with dev teams to understand service functionality and test coverage needs Candidate Profile: • Self-starter: Can jump in with minimal onboarding, • Testing "guru”: Deep experience across UI, API, and performance testing, • Flexible with tech stack: Comfortable switching between Groovy, Java, Kotlin, etc., • Not necessarily a Java expert, but must understand service functionality and testing logic

Job DescriptionPosition title: Dashboard developer Location: Charlotte, NC Onsite: 3 days a week starting from day 1 (first day will be onsite) Contract: 6-18 months Interview process: 2 video interviews to hire Relos: yes, its fine Must have: they need to talk to stakeholders and turn that feedback into the design, UX, Grafana (preferred since they are using it), or Tableau, or PowerBI. Nice to have: Hadoop and terradata • Top Must-Haves:, • Front End Dev in Grafana ideally (also open to PowerBI/Tableau experience), • System analyst - talking to the stakeholders to understand what they need to create in Grafana. Then being able to turn that feedback into the design. Collaborative. Must have excellent communication., • UX Designer skills - to help Ryan out creating a broader design language. (said that this must have might have to go. Not finding anyone with it. Wants us to let him know, but as long as they have 2 of the 3 he will interview., • Nice to Haves:, • Awareness of Big Data Platforms like Hadoop & Teradata., • Know what Yarn/Hive is

Job Description Position: Cybersecurity Engineer - Vulnerability Location: WoodBridge, NJ Hands-on experience with: SAST, DAST, SCA tools (AppScan, Fortify, Checkmarx, Burp, Snyk) VM tools (Qualys, Tenable, Rapid7) Familiarity with: ASPM/Aggregation tools (Vulcan, Brinqa, ArmorCode) Ability to interpret tool outputs and reduce false positives / duplicates Analyze scan results (SAST/DAST/SCA) Classify vulnerabilities based on severity, exploitability, and business impact Coordinate with Dev, DevOps, and Infra teams for vulnerability fixes Assign and track remediation tickets across tools (JIRA/ServiceNow)

Job DescriptionCompany Description About M3: A Japanese global leader in the provision of ground-breaking and innovative technological and research solutions to the healthcare industry. The M3 Group operates in the US, Asia, and Europe with over 5.8 million physician members globally via its physician websites which include mdlinx.com, m3.com, research.m3.com, Doctors.net.uk, medigate.net, and medlive.cn. M3 Inc. is a publicly traded company on the Tokyo Stock Exchange (jp:2413, NIKKEI 225) with subsidiaries in major markets including the US, UK, Japan, South Korea, and China, and in 2020 was ranked in Forbes’ Global 2000 list. The M3 Group provides services to healthcare and the life science industry. In addition to market research, these services include medical education, ethical drug promotion, clinical development, job recruitment, and clinic appointment services. M3 has offices in Japan, UK, France, Germany, Brazil, Sweden, China, USA, and South Korea, as well as India. Due to our continued growth, we are hiring for a Director of Product Management to join MDLinx, an M3 company. About the Business Unit: MDLinx Mission: Transform Omnichannel from Message Delivery to Belief Engineering MDLinx is on the path to transform its business and product line-up from endemic to omnichannel engagement model, aiming at fulfilling the promise of true omnichannel approach to pharmaceutical brand promotion – “right message to the right physician at the right time on the right channel”. Our goal is to provide pharmaceutical brands with best-in-class personalized HCP engagement programs across the wider media ecosystem, designed to accelerate disease state and brand knowledge penetration, lead generation, and customer conversion. Our ambition is to leverage an omnichannel approach to establish a new philosophy for physician engagement, shifting from delivery to belief engineering. Job Description • Strategic Product Planning & Market Intelligence, • Conduct competitive, market trend, technology, and business model analyses to inform both short- and long-term product strategy; synthesize findings into actionable roadmap inputs., • Translate audience behavior data, content engagement patterns, and qualitative feedback into a living product framework that drives roadmap and dev priorities, • Endemic Product Ownership (Physician Audience Experience), • Own the physician-facing product surfaces end to end: the MDLinx destination, the mobile app, and the engagement products physicians use., • Run a continuous experience experimentation calendar across information architecture, layout, recommendations, and onboarding. Maintain a test backlog with hypothesis, design, result, and decision., • Commercial Product Development (Pharma Brand Engagement), • Own the roadmap for MDLinx commercial engagement products., • Partner with Sales to translate pharma client needs into product features that serve the physician audience and drive commercial revenue., • Go-to-Market & Product Launch, • Lead product release and go-to-market launch activities: define launch strategy, messaging, success metrics, and accountability across functions for effective product adoption., • Track post-launch adoption and engagement metrics; drive rapid iteration based on real-world performance., • Cross-Functional Partnership, • Facilitate strong partnerships across Sales, Marketing, Engineering, Leadership, and Client Services to drive product development from ideation through launch and ongoing maintenance., • Own the cross-channel experience and cohesion.Qualifications, • Bachelor's degree in Product, Design, or a related field required., • Advanced certification in product management, UX, or AI/ML is a plus., • Participation in M3's AI training and upskilling is an expectation., • 7 to 10 years in product management, shipping sophisticated digital products to a demanding professional audience. Premium media, publishing, subscription, or digital health. Healthcare experience is valued, not required., • Demonstrated track record of owning both audience-growth and commercial-client lines simultaneously., • Has shipped with engineers directly: technically credible enough to read code, engage on architecture trade-offs, and write a spec engineering can start from the same day., • Daily working fluency with AI tools (Claude, ChatGPT, Cursor, Copilot, or equivalent); has shipped or contributed to AI-driven product features, including personalization, recommendation, or content discovery., • Experience with agile delivery as a practitioner and team leader, not as a process manager., • Familiarity with analytics platforms (Google Analytics, Snowflake, Tableau, Hotjar, or similar)., • Experience with content or media product stacks, including CMS and ESP/CDP, and personalization or recommendation surfaces preferred. Additional Information A career opportunity with M3USA offers competitive wages, and benefits such as: • Health and Dental, • Life, Accident and Disability Insurance, • Prescription Plan, • Flexible Spending Account, • 401k Plan and Match, • Paid Holidays and Vacation, • Sick Days and Personal Day *M3 reserves the right to change this job description to meet the business needs of the organization #LI-MM1 #LI-Remote

Job Description Title: Azure Cloud & AI Administrator/Engineer Location: Iselin NJ - prefer onsite but open for Remote We are looking for a platform-oriented Azure Cloud & AI Administrator/Engineer who can: Stand up and operate Azure AI Foundry environments Manage Azure subscriptions, networking, security, RBAC, and governance Support Azure OpenAI, AI Search, Document Intelligence, and Copilot-related services Implement CI/CD and Infrastructure as Code Provide Azure operational support, monitoring, troubleshooting, and cost management Act as the day-to-day liaison between EA, Platform Engineering, Cyber Security, and development teams The detailed JD is as follows, Key Responsibilities Azure Infrastructure Administration Manage Azure subscriptions, resource groups, policies, tagging standards, and governance controls. Administer Azure networking including: VNets Private Endpoints NSGs Application Gateway Azure Firewall Load Balancers API Management Implement and maintain high availability and disaster recovery configurations. Manage Azure storage, compute, web apps, containers, and serverless services. Azure AI Foundry Administration Deploy, configure, and maintain Azure AI Foundry environments. Provision and manage: Azure OpenAI Azure AI Search Azure Document Intelligence Azure AI Content Safety Azure AI Agent Services Configure AI projects, model deployments, quotas, access controls, networking restrictions, and service policies. Support onboarding of new AI solutions and AI engineering teams. Security & Governance Implement Azure RBAC and Entra ID security models. Manage: Managed Identities Service Principals Key Vault Certificate Management Secrets Management Enforce Azure AI guardrails and enterprise security requirements. Support security audits, TAC reviews, Cyber reviews, and governance initiatives. Azure DevOps & CI/CD Build and maintain Azure DevOps pipelines. Support GitHub Enterprise and GitHub Actions. Implement: CI/CD pipelines Infrastructure as Code Release Management Automated testing Deployment automation Establish Dev/UAT/Prod deployment standards. Infrastructure as Code Develop and maintain: Bicep Automate provisioning of: AI environments Networking services Security controls Azure resources Monitoring & Operational Support Administer and support: Application Insights Azure Monitor Log Analytics Service Health Troubleshoot: Azure AI Foundry issues API failures Performance bottlenecks Quota limits Networking issues Authentication failures Support developers during production incidents. Cost & Capacity Management Manage Azure budgets and consumption reporting. Implement alerts and quota controls. Forecast Azure AI and cloud infrastructure costs. Recommend optimization opportunities. Required Skills Azure Azure Administration (5 years) Azure Networking Azure Identity & Access Management Azure Monitor Azure Governance AI Platform Services Azure AI Foundry Azure OpenAI Azure AI Search Azure Document Intelligence Azure AI Content Safety DevOps Azure DevOps GitHub Enterprise GitHub Actions CI/CD Pipelines Release Management Infrastructure as Code Bicep Security Entra ID RBAC Managed Identity Key Vault Private Endpoints API Security Purview Monitoring Azure Monitor Log Analytics Application Insights

Job Description General Job Information We are seeking a Product Owner to join our Transformation Management Team (TMO). The ideal candidate will work closely with business, technical, and vendor partners to ensure the successful delivery of key corporate workstreams. You will drive the identification of business value for feature delivery and manage a prioritized backlog for software development and business process improvements. This role is integral to bridging the needs of stakeholders and ensuring that actionable features are delivered within an agile framework. As a Product Owner, you will collaborate with cross-functional teams to solve pain points across platforms and through partner integrations. A strong background in healthcare and insurance, along with a passion for improving healthcare systems, is preferred. You must be a strategic thinker, skilled at utilizing both quantitative and qualitative data to inform product roadmaps, and have excellent communication and collaboration skills. This is a full-time hybrid position, in our Parsippany office Tuesdays and Wednesdays and remote Mondays, Thursdays and Fridays. Essential Functions & Responsibilities • Drive value by aligning product goals with overall organizational strategies., • Partner closely with cross-functional teams to define product strategy, guide the development process, and drive the product vision., • Develop well-scoped requirements and prioritize work for engineering teams, dev ops, and data analysts., • Execute product commitments to consistently deliver meaningful business outcomes., • Maintain a prioritized product backlog, defining features, value, function, security, and testing needs., • Champion product goals and support an agile software development lifecycle (SDLC), identifying and documenting Epics, Features, PBIs (Product Backlog Items), and tasks., • Facilitate communication between business and technical teams to ensure solutions meet both business requirements and technical standards., • Use agile methodologies (e.g., user stories, acceptance criteria) to drive functional needs., • Be the voice of the customer, ensuring effective communication between stakeholders and the agile core team., • Collaborate with sponsors to create a clear product roadmap aligned with both business and technical goals., • Break down large initiatives into logical Epics, Features, and PBIs for execution based on team capacity., • Lead the elicitation of business requirements and translate them into user stories and technical requirements., • Write clear and concise requirements specifications in natural language., • Regularly review and update the backlog, priorities, and specifications with project stakeholders., • Facilitate agile ceremonies, including sprint planning, sprint refinements, retrospectives, and daily stand-ups., • Ensure proper change management practices for maintaining and communicating requirement baselines. Other Duties This job description is not exhaustive and may change as business needs evolve. Duties and responsibilities may be assigned or adjusted as required. DDNJ Competencies Competency Description Problem Solving Ability to analyze complex situations, identify issues, and develop innovative solutions. Analysis Strong capability to assess situations and make data-driven decisions. Critical Thinking Excellent judgment and reasoning skills to approach problems and challenges effectively. Communication Clear and effective communication skills for both written and verbal interactions. Confidence Ability to make decisions and communicate those decisions confidently to both internal and external stakeholders. Self-Development Continual improvement of skills and knowledge to remain effective in the role. Dealing with Ambiguity Ability to work effectively in an environment with frequent change and uncertainty. Creativity Applying creative problem-solving techniques to achieve business goals. SQL Proficiency in SQL for querying databases and analyzing data. Technical-Functional Knowledge Deep understanding of technical and functional aspects in product development, especially in agile frameworks. EDI-Healthcare Knowledge of Electronic Data Interchange (EDI) in the healthcare sector. Knowledge, Skills & Abilities • 3+ years of product management, business/systems analysis, or project management experience, with a proven track record of successful project delivery., • Strong background in healthcare and insurance, CX experience preferred., • Excellent strategic thinking, problem-solving, and execution skills in handling complex problems., • Familiarity with Agile methodologies (Scrum, XP, SAFe) and traditional waterfall methodologies., • Experience in managing product development life cycles and cross-functional collaboration., • Proficiency in utilizing agile tools such as Azure DevOps, Jira, or similar., • Strong interpersonal and communication skills with the ability to build relationships across diverse teams., • Self-motivated, proactive, and able to work under minimal supervision., • Data-driven with strong proficiency in analytics and testing best practices., • Ability to deliver large-scale product features and improvements in a fast-paced environment., • Proven ability to prioritize work, manage ambiguity, and adapt to changing business needs. Required Experience & Education • 3-5 years of relevant experience in product management, project management, or business analysis., • Experience in healthcare, insurance, or consulting roles is highly preferred. Educational Requirements: • Bachelor's Degree or equivalent professional experience. Certifications (preferred but not required): • PMI ACP, PMI PMP, IIBA CBAP, or SAFe certifications are considered a plus. Required Physical Abilities • Ability to sit and perform extensive keyboard and PC work., • Ability to walk, talk, or hear., • Occasionally required to stand and reach with hands and arms. Working Environment • Ability to meet deadlines and attendance standards., • Moderate noise level in the work environment., • The role may require signing a confidentiality agreement. In addition to salary, Delta Dental of New Jersey's offerings may also include, for eligible employees, discretionary and formulaic incentive awards. Available offerings may vary by geographic location, job level, skills, experience, qualifications, education and date of hire. New Jersey Pay Range $90,000—$105,000 USD About Delta Dental Of New Jersey & Connecticut Delta Dental of New Jersey, Inc. is New Jersey's leading dental benefits company, providing or administering coverage to more than 2.2 million people through contracts with groups and individuals in New Jersey and Connecticut. In Connecticut, Delta Dental of Connecticut, Inc. is a licensed insurer that writes dental and vision coverage on an insured basis, and Delta Dental of New Jersey administers self-funded dental benefit programs. Offering dental benefits since 1969, Delta Dental of New Jersey's mission is to promote oral health to the greatest number of people by providing accessible dental benefit programs of the highest quality, service, and value. Through its philanthropic arm, the Delta Dental of New Jersey Foundation awards more than $1M in grants annually to support access to dental care and education for underserved children, seniors, veterans, and those with special needs, as well as funds workforce development programs for dental assisting and dental hygiene across New Jersey and Connecticut. Benefits In addition to a great culture, we offer excellent benefits including medical, dental, vision, life insurance, short and long-term disability, spending accounts, and matching 401k. We value our associates and support everyone with learning and development, recognition programs, active wellness and diversity initiatives, tuition reimbursement, and generous paid time off to recharge – even paid time off to volunteer at causes that you care about. The benefits set forth in this posting reflect DDNJ's benefits policies in place at the time of posting, as are made available to other similarly situated employees of DDNJ, although participation is at all times in accordance with and subject to the eligibility and other provisions of such plans and programs. DDNJ reserves the right, in its sole discretion, to prospectively modify or terminate any of its benefits plans or programs at any time and for any reason, to the extent permitted by applicable law. DDNJ complies with all applicable state and federal wage and hour, pay equity and pay transparency laws. Delta Dental of New Jersey Inc is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.

Job DescriptionDescription: AI Cloud Engineer - RTH Location: Hybrid | Experience: 3-5 years | Function: AI Engineering & Cloud Platforms ABOUT THE ROLE We are seeking a GenAI Cloud Engineer to build and deploy enterprise-scale agentic AI solutions that support complex business workflows, decision support, operational intelligence, customer engagement, and other signal-to-action use cases across the enterprise. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI agents using AWS Bedrock, Amazon Bedrock AgentCore, enterprise data products, semantic layers, and governed cloud-native architectures. You will implement agent runtimes, orchestration patterns, memory, tool integration, observability, evaluation, and guardrail capabilities while partnering with architects, data teams, product owners, and Responsible AI stakeholders. The ideal candidate has recent experience building enterprise agents, agentic RAG, multi-agent workflows, and secure integrations with business systems in regulated environments. KEY RESPONSIBILITIES Develop cloud-native microservices, APIs, and event-driven components using Python, JavaScript/TypeScript, FastAPI, AWS Lambda, EventBridge, and related AWS services. Build and deploy enterprise AI agents using Amazon Bedrock AgentCore, Bedrock models, AgentCore runtime services, AgentCore Gateway, agent registry patterns, and agent-to-agent communication where appropriate. Implement data ingestion, semantic retrieval, embeddings, vector search, knowledge graph, and memory pipelines that allow agents to consume certified data products, Denodo/USBIE sources, Bedrock Knowledge Bases, and governed enterprise content. Develop intent classification, tool routing, workflow orchestration, guardrails, policy checks, human-in-the-loop controls, and fail-safe escalation patterns for agentic applications. Integrate agents with enterprise systems and workflows such as Salesforce/Elevate, Service Platform, CaseView, Genesys, MAC/MPI, USBIE, Denodo, APIs, MCP tools, and event streams. Build evaluation, monitoring, tracing, and operational controls for agents, including quality metrics, hallucination and safety checks, latency, cost, feedback loops, and incident response readiness. Uphold enterprise standards for application security, IAM/agent identity, data protection, auditability, Responsible AI, ADS/data-product governance, observability, and production reliability. Stay current with AWS AgentCore, Bedrock, agent frameworks, model evaluation approaches, memory architectures, semantic data products, and enterprise agentic AI patterns. LEADERSHIP, MENTORING & INFLUENCE (ONLY FOR SENIOR 5-8 YEARS OF EXPERIENCE) Lead a workstream: Take technical ownership of a defined feature area or service - from design through production support - coordinating a small group of engineers where needed. Mentor engineers: Guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills. Contribute to architecture: Participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts. Influence through delivery: Partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software. Improve the team: Identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups. REQUIRED QUALIFICATIONS 3-5 years of software engineering experience, with hands-on delivery of cloud-native applications or AI/ML-enabled platforms. Strong proficiency in Python and JavaScript/TypeScript, including API development, asynchronous processing, test automation, and production debugging. Experience developing microservices, APIs, event-driven workflows, distributed applications, and secure integrations with enterprise systems. Hands-on experience with AWS cloud services, including serverless, container, messaging/eventing, IAM, observability, and cloud-native deployment patterns. Recent experience building enterprise GenAI or agentic AI solutions, including agents, agentic RAG, multi-step orchestration, chat experiences, or signal-to-action workflows. Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable enterprise LLM and agent runtime platforms. Experience with LangGraph, LangChain, Strands, MCP, A2A protocols, tool-use frameworks, or comparable multi-agent orchestration patterns. Experience with model evaluation, prompt engineering, agent quality testing, feedback loops, LLM-as-judge patterns, and reliability measurement. Experience with data ingestion, vector databases, embeddings, semantic search, knowledge bases, memory stores, and retrieval patterns for structured and unstructured data. Experience implementing AI guardrails, safety controls, intent classification, routing logic, access controls, audit logging, evaluation, and human escalation paths. Strong understanding of software engineering best practices, application security, Responsible AI expectations, data governance, scalability, resilience, and production operations. Experience mentoring engineers, leading technical delivery of a defined workstream, and collaborating with architects, product owners, data teams, and platform teams. PREFERRED QUALIFICATIONS Experience with event-driven and serverless architectures using AWS EventBridge, MSK, SNS/SQS, Step Functions, Lambda, API Gateway, and container services. Experience delivering AI or data products in financial services, insurance, or other regulated environments with privacy, compliance, audit, and control requirements. Familiarity with enterprise data products, semantic layers, Denodo, USBIE, ADS certification, knowledge graphs, Neptune/OpenSearch, and governed data consumption patterns. Experience integrating agents with CRM, service, telephony, document, workflow, or engagement platforms such as Salesforce, Genesys, Service Platform, MAC/MPI, or similar systems. IDEAL CANDIDATE You are a strong software engineer with recent enterprise GenAI and agentic AI experience who enjoys turning ambiguous business use cases into reliable, governed, production-ready agents. You understand that CNS agents must combine data products, signals, deterministic rules, LLM reasoning, memory, tool use, observability, and human controls. You can work across cloud architecture, data integration, AI orchestration, and production operations while raising the technical bar for the team. LEVELING: SENIOR VS. DEV Senior GenAI Cloud Engineer - 5–8 years. Owns architecture and technical direction for enterprise agentic AI capabilities, sets standards for AgentCore, data, governance, observability, and multi-agent patterns, leads complex multi-team initiatives, mentors senior engineers, and influences cross-team design decisions. GenAI Cloud Engineer - 3+ years. Hands-on technical contributor. Leads implementation of specific agent workstreams, contributes to AgentCore architecture and delivery patterns, mentors associate and mid-level engineers, and influences within the team through working software. Rate: $60-65/hr #LI-PP1

Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, Energy, retail and logistics, helping them build robust data analytics and AI capabilities. With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT. Website: https://www.straive.com/ LinkedIn Job Tittle- Lead Data Engineer Location - Newark,NJ (Hybrid) Employment Type- Fulltime Job Overview We are seeking a Lead Data Engineer to help us architect and implement modern data solutions using the Microsoft Fabric ecosystem. You will be responsible for streamlining data workflows, implementing OneLake architectures, and enabling seamless data integration and analytics across the enterprise. Key Responsibilities • Unified Storage: Implement and optimize OneLake structures to create a seamless, single source of truth for diverse data assets., • Data Engineering: Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory., • Performance Tuning: Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing., • Pipelines & Ingestion: Build metadata-driven pipelines using Fabric Pipelines to ingest and process JSON, ZIP, XLSX, and CSV files effectively. Implement pattern-based incremental refreshes and SCD Type 1 & Type 2 logic., • Architecture & Performance: Design scalable Medallion Architectures (Bronze/Silver/Gold) across Fabric Lakehouses and Data Warehouses. Apply PySpark optimization (broadcast joins, partition strategy, data skew, memory tuning), SQL query tuning, and Delta Lake features (V-Order, Liquid Clustering, Time Travel)., • Automation & Scripting: Write advanced Python and leverage Fabric Utils (notebookutils/mssparkutils) alongside Fabric REST APIs to automate inter-notebook workflows, dynamic parameterization, and workspace management., • Governance & Data Quality: Build automated Data Quality practices (schema enforcement, dynamic validation, reconciliation logging). Implement Fabric Governance frameworks, Microsoft Purview integration, data lineage, and security controls (RLS/CLS). Managing staged environments Dev. UAT and PROD with CICD Principals., • DevOps, Capacity & Analytics: Manage Fabric DevOps/ALM (Git integration and deployment pipelines) and monitor compute using the Fabric Capacity Metrics App to optimize CUs. Support basic Power BI semantic modeling (Direct Lake mode) and real-time ingestion via Eventhouse/KQL., • Collaboration: Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics. Required Skills and Qualifications • Total Experience of 10-15 years, • Ecosystem Mastery: 3-5 years in Azure Data Engineering with focused experience in Microsoft Fabric, Synapse Analytics, and OneLake., • Languages: Advanced proficiency in Python (PySpark) and Complex SQL., • Frameworks: Hands-on experience with Delta Lake formats, Medallion Architecture, and Spark-based processing., • Integrations: Working knowledge of Power BI (Direct Lake connectivity), Git-based CI/CD, and Fabric Capacity Management., • Orchestration: Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps., • Data Modeling: Good understanding of Star/Snowflake schemas and semantic modeling., • Certifications (Preferred): DP-600 (Fabric Analytics Engi

Role: AI Tech Lead / AI Architect (Full Time/FTE) Location:Newark, NJ Experience: 8 to 14 years Work Model: Hybrid (3 days in a week from office) Primary Skill: Generative AI delivery pods, Azure OpenAI / AI Foundry,Production experience with Azur AI, deployed and AI Agent in production , LLM application patterns ,Python (FastAPI, AsyncIO), Docker Secondary Skill: open source models About the Role We are seeking a hands-on AI Tech Lead to lead one or more Generative AI delivery pods for a financial-services client. The role sits between our Senior AI Engineers and the Engagement Manager. You own the technical direction and day-to-day delivery of your pod: you design the architecture, review the work and unblock it, and you are the technical voice with client architects, platform and security teams. You turn business asks into designs, plans and estimates, and you are accountable for what goes to production. Key Responsibilities Core Technical Competencies • Generative AI & LLMs: Hands-on depth in LLM application patterns (RAG, hybrid search and re-ranking, agents and tools/MCP, structured outputs) and evaluation/observability tooling (RAGAS, LangSmith, Langfuse or similar)., • Azure AI Platform: Production experience with Azure OpenAI / AI Foundry, AI Search, Cosmos DB, Functions / App Service, Key Vault, private networking and Entra ID / managed identity. AWS experience is acceptable with a clear path to Azure., • Responsible AI & Security: Content filters and guardrails, prompt-injection and data-leakage risks, PII handling, access control and audit logging in a regulated (financial services) environment., • Backend & DevOps: Strong Python (FastAPI, AsyncIO), Docker, Terraform, CI/CD and environment promotion (dev / UAT / prod) with rollback., • Communication: Clear written and spoken communication with technical and non-technical stakeholders. Technical Leadership & Architecture • Solution Architecture: Own the architecture for GenAI applications (RAG, agentic workflows, document intelligence, evaluation and guardrails) on Azure: Azure OpenAI / AI Foundry, AI Search, Cosmos DB, Functions / App Service, APIM or an AI gateway., • Engineering Standards: Set and enforce branching and PR reviews, testing, IaC (Terraform), CI/CD (GitHub Actions), observability, security and cost practices., • Trade-off Decisions: Make and document the calls on model choice and routing, retrieval design, latency and cost, and build versus buy, so the team and the client can follow them., • Evaluation & Guardrails: Build evaluation in from the start: golden datasets, regression gates on every prompt or code change, LLM-as-judge where it fits, content filters and human review for high-risk outputs., • Production Readiness: Run release readiness: UAT support, release notes, rollback plans and production hand-off. People, Delivery & Client Leadership • Delivery Ownership: Estimate, plan and track delivery; surface risks and dependencies early (environments, access, client approvals) and drive them to closure., • Client Technical Lead: Act as the senior technical point of contact with client architects, platform, security and governance teams; lead design walkthroughs, demos and technical decisions., • Scoping & Communication: Translate vague business asks into scoped solutions and phased plans, push back with options when a request is not feasible, and work with the Engagement Manager on scope, staffing and status. Required Experience and Qualifications • Overall Professional Experience: 8-12 years in software or data/ML engineering, with progressive technical leadership., • AI/ML & GenAI Experience: 3+ years building and shipping Generative AI applications to production., • Team Leadership: At least 2 years leading engineers: allocation, reviews, mentoring and delivery accountability. Preferred Experience & Education • Financial services or asset-management domain experience., • AI gateway / API management (APIM, Kong), model routing and cost control; document intelligence and OCR (Azure Document Intelligence / Content Understanding)., • Working knowledge of React for chat and operations UIs.

Role: AI Cloud Engineer Location: Newark, NJ (Hybrid – 3 days onsite) Duration: 12 months (possibility of conversion) About The Role: We are seeking a GenAI Cloud Engineer to build and deploy enterprise-scale agentic AI solutions that support complex business workflows, decision support, operational intelligence, customer engagement, and other signal-to-action use cases across the enterprise. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI agents using AWS Bedrock, Amazon Bedrock AgentCore, enterprise data products, semantic layers, and governed cloud-native architectures. You will implement agent runtimes, orchestration patterns, memory, tool integration, observability, evaluation, and guardrail capabilities while partnering with architects, data teams, product owners, and Responsible AI stakeholders. The ideal candidate has recent experience building enterprise agents, agentic RAG, multi-agent workflows, and secure integrations with business systems in regulated environments. Key Responsibilities: • Develop cloud-native microservices, APIs, and event-driven components using Python, JavaScript/TypeScript, FastAPI, AWS Lambda, EventBridge, and related AWS services., • Build and deploy enterprise AI agents using Amazon Bedrock AgentCore, Bedrock models, AgentCore runtime services, AgentCore Gateway, agent registry patterns, and agent-to-agent communication where appropriate., • Implement data ingestion, semantic retrieval, embeddings, vector search, knowledge graph, and memory pipelines that allow agents to consume certified data products, Denodo/USBIE sources, Bedrock Knowledge Bases, and governed enterprise content., • Develop intent classification, tool routing, workflow orchestration, guardrails, policy checks, human-in-the-loop controls, and fail-safe escalation patterns for agentic applications., • Integrate agents with enterprise systems and workflows such as Salesforce/Elevate, Service Platform, CaseView, Genesys, MAC/MPI, USBIE, Denodo, APIs, MCP tools, and event streams., • Build evaluation, monitoring, tracing, and operational controls for agents, including quality metrics, hallucination and safety checks, latency, cost, feedback loops, and incident response readiness., • Uphold enterprise standards for application security, IAM/agent identity, data protection, auditability, Responsible AI, ADS/data-product governance, observability, and production reliability., • Stay current with AWS AgentCore, Bedrock, agent frameworks, model evaluation approaches, memory architectures, semantic data products, and enterprise agentic AI patterns. Leadership, Mentoring & Influence (Only For Senior 5-8 Years Of Experience): • Lead a workstream: Take technical ownership of a defined feature area or service - from design through production support - coordinating a small group of engineers where needed., • Mentor engineers: Guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills., • Contribute to architecture: Participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts., • Influence through delivery: Partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software., • Improve the team: Identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups. Required Qualifications: • 3-5 years of software engineering experience, with hands-on delivery of cloud-native applications or AI/ML-enabled platforms., • Strong proficiency in Python and JavaScript/TypeScript, including API development, asynchronous processing, test automation, and production debugging., • Experience developing microservices, APIs, event-driven workflows, distributed applications, and secure integrations with enterprise systems., • Hands-on experience with AWS cloud services, including serverless, container, messaging/eventing, IAM, observability, and cloud-native deployment patterns., • Recent experience building enterprise GenAI or agentic AI solutions, including agents, agentic RAG, multi-step orchestration, chat experiences, or signal-to-action workflows., • Experience with Amazon Bedrock, Amazon Bedrock AgentCore, or comparable enterprise LLM and agent runtime platforms., • Experience with LangGraph, LangChain, Strands, MCP, A2A protocols, tool-use frameworks, or comparable multi-agent orchestration patterns., • Experience with model evaluation, prompt engineering, agent quality testing, feedback loops, LLM-as-judge patterns, and reliability measurement., • Experience with data ingestion, vector databases, embeddings, semantic search, knowledge bases, memory stores, and retrieval patterns for structured and unstructured data., • Experience implementing AI guardrails, safety controls, intent classification, routing logic, access controls, audit logging, evaluation, and human escalation paths., • Strong understanding of software engineering best practices, application security, Responsible AI expectations, data governance, scalability, resilience, and production operations., • Experience mentoring engineers, leading technical delivery of a defined workstream, and collaborating with architects, product owners, data teams, and platform teams. Preferred Qualifications: • Experience with event-driven and serverless architectures using AWS EventBridge, MSK, SNS/SQS, Step Functions, Lambda, API Gateway, and container services., • Experience delivering AI or data products in financial services, insurance, or other regulated environments with privacy, compliance, audit, and control requirements., • Familiarity with enterprise data products, semantic layers, Denodo, USBIE, ADS certification, knowledge graphs, Neptune/OpenSearch, and governed data consumption patterns., • Experience integrating agents with CRM, service, telephony, document, workflow, or engagement platforms such as Salesforce, Genesys, Service Platform, MAC/MPI, or similar systems. IDEAL CANDIDATE You are a strong software engineer with recent enterprise GenAI and agentic AI experience who enjoys turning ambiguous business use cases into reliable, governed, production-ready agents. You understand that CNS agents must combine data products, signals, deterministic rules, LLM reasoning, memory, tool use, observability, and human controls. You can work across cloud architecture, data integration, AI orchestration, and production operations while raising the technical bar for the team. LEVELING: SENIOR VS. DEV Senior GenAI Cloud Engineer - 5–8 years. Owns architecture and technical direction for enterprise agentic AI capabilities, sets standards for AgentCore, data, governance, observability, and multi-agent patterns, leads complex multi-team initiatives, mentors senior engineers, and influences cross-team design decisions. GenAI Cloud Engineer - 3+ years. Hands-on technical contributor. Leads implementation of specific agent workstreams, contributes to AgentCore architecture and delivery patterns, mentors associate and mid-level engineers, and influences within the team through working software.

We are often open to a wide variety of profiles and sometimes have flexibility within our organizational structure to adjust the role responsibilities up or down should we select a candidate that is less or more experienced than the posted job requirements. Conga is proud to be an Equal Opportunity

Senior Python Dev with React and Quartz to work on surveillance system (object oriented).

Applicants who require accessibility assistance to submit an employment application can either call Finish Line at (317) 613-6890 or email us at talentacquisition@finishline. Assistant Store Managers will support the Store Manager in all aspects of daily execution of customer service, sales, and dev

Territory Sales Manager - Russian Speaking - (Ukraine Remote) Full-time TurnItin Company Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. Forecast, own, and achieve annual sales targets Build a pipeline of new busines

Work in an agile software development team to complete backlog items, working in conjunction with other developers within the team. Experience with unit testing tools Experience creating high-performing, responsive, and interactive web applications Experience in creating/working with complex cus

Knowledge of New Jersey building codes, safety requirements and construction practices is preferred. The company manages the full real estate life cycle in-house, from acquisitions and financing through approvals, construction, development, brokerage, leasing and property management. As Wick’s dev

The primary purpose of the Educational Specialist position is to function as an Educator, Consultant, Researcher, and Administrator in support of developing and expanding staff competencies to perform safely, effectively, and financially productively within a patient/family centered model of care de

Job Description Job Title: Senior Service Now Leader Job Id: 26-04451 Location: Newark, NJ (Hybrid 3 days onsite) Duration: 06 Months Contract Description: Driving operational excellence through ServiceNowstrategy, IT asset optimization, and enterprise discovery aligning technology, processes, and teams for measurable business outcomes. We are seeking an experienced ServiceNow expert to lead the design, development, and operational ownership of our ServiceNow platform. This role is ideal for ahighly skilled technical professional who excels at solving complex challenges, driving automation, and ensuring the platform aligns with business objectives ,ITIL processes, and organizational best practices. The successful candidate will partner closely with IT and business stakeholders to deliver efficient, secure, and scalable digital workflows. Key Responsibilities Platform Architecture &Administration • Own configuration, maintenance, and optimization of ServiceNow core modules: Incident, Problem, Change, Request/Service Catalog, Knowledge, CMDB, Discovery, and Asset Management., • Manage update sets, source control, environment strategy, and release deployments across Dev/Test/Prod., • Oversee platform governance, enforce standards, and lead platform roadmap discussions. Custom Development &Automation • Design and implement advanced workflows, custom applications, client/server scripts, and Flow Designer automations., • Develop high quality, scalable scripts using JavaScript and Glide APIs., • Extend platform capabilities through IntegrationHub and scripted REST/SOAP APIs. Integrations & DataExchange • Architect, build, and maintain secure integrations with enterprise systems (REST/SOAP, OAuth, MID Server)., • Support integrations with device management, identity, and infrastructure systems (e.g., Intune, Workspace ONE, vendor ticketing connectors). CMDB, Discovery & AssetManagement • Lead CMDB data modeling, reconciliation, normalization, and CI lifecycle improvements., • Maintain and tune Discovery schedules, probes, patterns, and classification logic., • Support SAM/HAM processes, job runs, and data quality initiatives. Platform Security &Compliance • Implement and maintain RBAC, access controls, audit logging, and platform security standards., • Ensure compliance with organizational and regulatory requirements. Upgrades, Reliability &Observability • Plan and execute upgrades, patches, and hotfixes with minimal business disruption., • Maintain Performance Analytics indicators, collections, and dashboards., • Monitor platform health and proactively resolve performance issues. Documentation, Enablement& Leadership • Produce technical design documents, runbooks, and admin/user guides., • Mentor junior team members and provide SME level guidance to project and operations teams., • Conduct training sessions for engineers, Service Desk, and business stakeholders. Required Qualifications • 7 years of hands on ServiceNow development and administration experience., • Expert knowledge of ITIL based ITSMprocesses., • Advanced proficiency in JavaScript, GlideAPI, Flow Designer, IntegrationHub, and ServiceNow Studio., • Strong background integrating ServiceNow withenterprise systems via REST/SOAP APIs., • Proven experience leading platform levelinitiatives and technical decision making., • Excellent analytical, debugging, and problem solvingskills. Preferred Qualifications • ServiceNow CSA plus one or more CIScertifications (ITSM, ITOM, HRSD, SAM/HAM, or Discovery). Experience with: • Service Operations Workspace, • CMDB/Discovery/Service Mapping, • Performance Analytics, • SAM/HAM job configuration and optimization, • Intune or Workspace ONE integrations, • Familiarity with Agile/Scrum methodologiesand CI/CD for ServiceNow., • Experience in complex, distributed, or public sectorenvironments. Soft Skills • Exceptional communication andpresentation skills., • Ability to partner effectivelywith business leaders, engineers, and vendors., • Strong organization andprioritization skills; capable of managing multiple initiatives simultaneously. Skill Table: Skill Required / Desired Amount of Experience 7 years of hands on ServiceNow development and administration experience. Required 7 Years Expert knowledge of ITIL based ITSM processes. Required 7 Years Advanced proficiency in JavaScript, Glide API, Flow Designer, IntegrationHub, and ServiceNow Studio. Required 7 Years Strong background integrating ServiceNow with enterprise systems via REST/SOAP APIs. Required 7 Years Proven experience leading platform level initiatives and technical decision making. Required 7 Years Excellent analytical, debugging, and problem solving skills. Required 7 Years Compensation: The hourly rate for this position is between $100.00-$109.00 per hour. Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate]. Benefits: Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations. Contact: Jaya Balaji: jayabalaji.s@sunrisesys.com | (732) 515-5373 | URL: www.sunrisesys.com

Job Description Driving operational excellence through Service Nows trategy, IT asset optimization, and enterprise discovery - aligning technology, processes, and teams for measurable business outcomes. Senior Service Now Leader Location: Newark, NJ (Hybrid 3 days onsite) Contract:6 months We are seeking an experienced ServiceNow expert to lead the design, development, and operational ownership of our ServiceNow platform. This role is ideal for highly skilled technical professional who excels at solving complex challenges, driving automation, and ensuring the platform aligns with business objectives, ITIL processes, and organizational best practices. The successful candidate will partner closely with IT and business stakeholders to deliver efficient, secure, and scalable digital workflows. Key Responsibilities Platform Architecture &Administration Own configuration, maintenance, and optimization of ServiceNow core modules: Incident, Problem, Change, Request/Service CatLog, Knowledge, CMDB, Discovery, and Asset Management. Manage update sets, source control, environment strategy, and release deployments across Dev/Test/Prod. Oversee platform governance, enforce standards, and lead platform roadmap discussions. Custom Development &Automation Design and implement advanced workflows, custom applications, client/server scripts, and Flow Designer automations. Develop high quality, scalable scripts using JavaScript and Glide APIs. Extend platform capabilities through Integration Hub and scripted REST/SOAP APIs. Integrations & Data Exchange Architect, build, and maintain secure integrations with enterprise systems (REST/SOAP, OAuth, MID Server). Support integrations with device management, identity, and infrastructure systems (e.g., Intune, Workspace ONE, vendor ticketing connectors). CMDB, Discovery & Asset Management Lead CMDB data modeling, reconciliation, normalization, and CI lifecycle improvements. Maintain and tune Discovery schedules, probes, patterns, and classification logic. Support SAM/HAM processes, job runs, and data quality initiatives. Platform Security &Compliance Implement and maintain RBAC, access controls, audit logging, and platform security standards. Ensure compliance with organizational and regulatory requirements. Upgrades, Reliability & Observability Plan and execute upgrades, patches, and hotfixes with minimal business disruption. Maintain Performance Analytics indicators, collections, and dashboards. Monitor platform health and proactively resolve performance issues. Documentation, Enablement& Leadership Produce technical design documents, runbooks, and admin/user guides. Mentor junior team members and provide SME level guidance to project and operations teams. Conduct training sessions for engineers, Service Desk, and business stakeholders. Required Qualifications 7+ years of hands on ServiceNow development and administration experience. Expert knowledge of ITIL based IT SM processes. Advanced proficiency in JavaScript, Glide API, Flow Designer, Integration Hub, and ServiceNow Studio. Strong background integrating ServiceNow with enterprise systems via REST/SOAP APIs. Proven experience leading platform level initiatives and technical decision'making. Excellent analytical, debugging, and problem solving skills. Preferred Qualifications ServiceNow CSA plus one or more CIS certifications (ITSM, ITOM, HRSD, SAM/HAM, or Discovery). Experience with: Service Operations Workspace CMDB/Discovery/Service Mapping Performance Analytics SAM/HAM job configuration and optimization Intune or Workspace ONE integrations Familiarity with Agile/Scrum methodologies and CI/CD for ServiceNow. Experience in complex, distributed, or public sector environments. Soft Skills Exceptional communication and presentation skills. Ability to partner effectively with business leaders, engineers, and vendors. Strong organization and prioritization skills; capable of managing multiple initiatives simultaneously.

Answers and transfers phone calls, screening when necessary.Collects money orders, checks and cash for C.Reconciles invoices from day's deliveries.Maintains filing systems as assigned.Retrieves information as requested from records, emails, minutes, and other related documents; prepares written data

Responsibilities: Greet members and assist with loading orders onto the conveyor; Pack member orders into boxes and loads to cart; Maintain cleanliness of register area and front end; Restock merchandise and assist cashiers to move lines; Follow safety procedures and assist in other departments as n

At Smashburger, we don't just make burgerswe create crave-worthy moments that keep guests coming back for more.We're driven by a shared commitment to excellence, working as one team and taking bold action to deliver unforgettable experiences.Here, you'll be part of a group that works hard and genuin

Processes member orders, collects payment.Performs clean up, department set-up and closing tasks as necessary.Provides a high level of member service.Greets members, obtains membership card, determines member preferences, answers questions, relates information on special promotions, and thanks membe

We are a rapidly growing brand, and provide a variety of training and development opportunities so our associates can grow with us.

Packs member orders into boxes and transfers items to a separate cart for cashiers.Performs clean-up, cart retrieval, merchandise restocking and runs for items as directed.Provides a high level of member service.Job duties include greeting members, helping members load order onto conveyor belt, dete

Utilizes Point of Sale on Mobile Warrior device to support line management.

They provide first level escalation for customer issues and assist in the supervision, coaching and training of other Front End Associates by participating in the training of new Cashiers and utilizing all available tools to coach and develop other Cashiers.

At Target, we believe in our team members having meaningful experiences that help them build and develop skills for a career. Ability to communicate on multiple frequency devices and operate handheld scanners, and other technology equipment as directed.

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Packs member orders into boxes and transfers items to a separate cart for cashiers.Performs clean-up, cart retrieval, merchandise restocking and runs for items as directed.Provides a high level of member service.Greets members, helps members load order onto conveyor belt, determines member packing p