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Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. • Mentorship and solution support to client-facing Data Engineers across key accounts, • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction, • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale., • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points., • Coordinate between onsite and offshore leadership for regular updates, • Engage key client stakeholders to, • Review and provide the best solutions on the existing or new architecture requirements., • Recommend strategies to improve resiliency, security, and optimize costs., • Analyse, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions., • Bachelor’s degree in Computer Science/or any relevant experience in Information systems., • 10 years of experience in the IT field with hands-on experience in system administration and automation, • 3-5 years of strong hands-on experience with AWS(or another cloud) in building a Data and Analytics platform on the cloud., • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud, • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)., • 1-2 yrs experience with Cloud data warehouse (Redshift, Snowflake, BigQuery), • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc., • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other, • Knowledge of delta lake or similar technology, • Exposure to operationalizing ML models @ scale on Cloud, • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud, • Must understand the Scrum Agile methodology and have worked on a Scrum team., • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores, • Good experience working on an onsite/offshore model, • Knowledge of networking, firewalls, load balancers, etc., • AWS Professional Architect Certification is preferred Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Job Description Integration Data Engineer MUST be local to Iselin, NJ, Hybrid Schedule at least 3 days onsite Salary Range: $77k to $135k No Sponsorship Available We are seeking an Integration Data engineer with a background in SQL and data warehousing for enterprise level systems. The ideal candidate is comfortable working with business users along with business analyst expertise. Major Responsibilities: • Design, develop, and deploy Databricks jobs to process and analyze large volumes of data., • Collaborate with data engineers and data scientists to understand data requirements and implement appropriate data processing pipelines., • Optimize Databricks jobs for performance and scalability to handle big data workloads., • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks., • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions., • Demonstrated proficiency with Data Analytics, Data Insights, • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process, • Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources., • 5+ years - Enterprise Data Management, • 5+ years - SQL Server based development of large datasets, • 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Extensive experience in PySpark coding. Snowflake experience is good to have, • 3+ years Python (numpy, pandas) coding experience, • 3+ years' experience in Finance / Banking industry – some understanding of Securities and, • Banking products and their data footprints., • Experience with Snowflake utilities such as SnowSQL and SnowPipe - good to have, • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling., • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills, • Capable of discussing enterprise level services independent of technology stack, • Experience with Cloud based data architectures, messaging, and analytics, • Superior communication skills, • Cloud certification(s) preferred, • Minimally a BA degree within an engineering and/or computer science discipline, • Master's degree strongly preferred

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description 100% Remote. Our client has an opening for a Cybersecurity Engineer 3 (764117) This position is up to 5 months with the option of extension. The client is located in Richmond, VA. 5+ years in IT security or cloud security roles required. Required 5 Years 3+ years of hands-on experience securing Azure environments Required 3 Years Bachelor’s degree in Computer Science, Cybersecurity, or related field or equivalent work experience required. Required 5 Years Relevant certifications (MS Certified Cybersecurity Architect Expert, Azure Security Engineer Associate (SC-300), CompTIA Security+, CISSP, CISM Highly desired 5 Years Experience with Azure Security Services (Azure Defender, MS Sentinel, Azure Key Vault, Azure Policy and Blueprints, Azure Security Center) required. Required 5 Years Experience with Azure Active Directory (AAD), including conditional access, MFA, and identity protection required. Required 5 Years Extensive knowledge of PIM and RBAC required Required 5 Years Experience with NSGs, ASGs, VPN, ExpressRoute, and hybrid connectivity security required Required 5 Years Ability to implement and moitor compliance with regulatory standards such as NIST, ISO 27001, GDPR, etc. is required Required 5 Years Extensive knowledge of threat modeling and vulnerability management, SIEM/SOAR tuning and response workflows, and security alert triage and forensics Required 5 Years Ability to perform scripting and automation using PowerShell, Bicep, ARM templates, or Terraform Required 5 Years Ability to perform perform integration with CI/CD pipelines for secure deployments (GitHub Actions, Azure DevOps) Required 5 Years Ability to create and deliver security architecture reports and documentation Required 5 Years Experience in risk assessment and mitigation strategies Required 5 Years By replying to this job advertisement, I agree I want to receive additional job advertisements from FHR, including email, phone and mail to the contact information I am submitting. I consent to FHR, its affiliates, third parties and partners processing my personal data for these purposes and as described in the Privacy Policy. I understand that I can withdraw my consent at anytime.

Job Description Position Title: Data Engineer/Developer Reports to: VP, Technology Department: Development and Technology Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901; In-office Classification: Full-time; Exempt Summary / Job Objective: As a data engineer/developer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that are used for collecting, storing, processing, and analyzing large volumes of data. Essential Job Functions: Your role involves collaborating with business stakeholders, outside partners, other software developers, analysts, and other stakeholders to ensure data availability, reliability, and quality for decision-making and operational purposes. Primary Responsibilities: · Data Processing and Transformation: Implement data processing and transformation using state-of-the-art tools and processes. Build on top of existing capabilities and develop both custom features (e.g., Laravel/PHP, Python, or other frameworks) or enterprise software (e.g., Informatica, Mulesoft, or other tools). · Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems. · Data Infrastructure: Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security. · Data Quality and Governance: Implement data quality checks, monitoring, and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements. · Performance Tuning: Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning. · Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand data requirements, develop data solutions, and support analytical use cases. · Documentation: Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration. Qualifications: · Hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages. · Knowledge and experience working in cloud platforms like AWS and/or Azure. · Experience working with complex data objects in various formats like JSON, XML and across different DB designs like MySQL, MS SQL, and Salesforce DB’s. · Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. · Proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data pipeline development. Additional Qualifications (Preferred): · Knowledge of or experience with Salesforce data models, API’s and high-level architecture. Experience with other CRM tools and their data is also a plus. · Experience with Business Intelligence tools such as Domo, Microsoft PowerBI, or other BI tools. · Agile development experience working with tools such as Atlassian Jira, Confluence, and Bitbucket. · Experience with financial services products such as insurance, wealth management, or related fields is a plus. · Certification or coursework in data engineering or related technologies. Core Competencies: · Excellent problem-solving skills, analytical thinking, and attention to detail. · Effective communication and teamwork abilities to collaborate across multidisciplinary teams. · Proven success working in both a team environment as well as independently. Compensation & Benefits: Compensation (based on experience) ● Base salary: $110,000 - $130,000 ● This is an exempt position ● Annual performance bonus target: 10% Benefits ● Employee benefits (medical, dental, vision, life insurance, other) ● 401k with employer match ● Paid Time Off ● Paid parking Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901 *This role is an in-office position Company DescriptionHeadquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy. Through its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business. For more information, please visit simplicitygroup.com.Headquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy.\r\n\r\nThrough its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business.\r\n\r\nFor more information, please visit simplicitygroup.com.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job DescriptionDescription: About Us: At Affiliated Monitoring, our success depends on our ability to respond to customer alarms and provide life-saving services in a timely manner. Our networks and telecommunications systems are the lifeblood of our company and our ability to service our customers. We are looking for a highly skilled Lead Systems Engineer who is both hands-on with system and infrastructure design, and capable of leading teams, projects, and initiatives. If you thrive in a dynamic environment where you can design, implement, and optimize systems while also mentoring and leading a team, this role is for you! Job Overview: As a Lead Systems Engineer, you will take ownership of systems architecture, implementation, troubleshooting, and security, while also playing a key leadership role in guiding junior engineers and collaborating with stakeholders. You’ll work closely with IT, security, and operations teams to ensure high availability, scalability, and security across our infrastructure. KEY RESPONSIBILITIES Infrastructure Architecture, Cloud & Systems Management • Contribute to infrastructure architecture design that bridges on-prem and cloud environments—supporting a transition to hybrid infrastructure centered around AWS, with potential use of Azure or Google Cloud., • Configure, manage, and monitor SAN storage arrays; support provisioning, performance tuning, and capacity planning., • Plan and implement scalable, resilient system architectures across compute, storage, cloud, and network tiers., • Administer Linux and Windows systems in a hybrid environment (Debian, Photon OS, Windows Server)., • Architect, deploy, and manage VMware infrastructure including ESXi hosts, vSphere clusters, and vCenter across production data centers and integrated cloud environments., • Lead support and development of the Horizon VDI environment, including gold image creation, performance tuning, and operational stability., • Build and cable physical hypervisor servers, ensuring proper integration with network, power, and storage infrastructure., • Collaborate closely with the Networking team to align switching, VLANs, and virtual networking within the VMware ecosystem., • Serve as the technical lead for the Systems team, providing daily guidance, mentorship, and support., • Lead by example through hands-on contributions, reinforcing best practices in engineering, documentation, and issue response., • Foster a high-performance team culture focused on continuous learning, critical thinking, and proactive problem-solving., • Partner with the Director of Systems on infrastructure roadmaps and long-term cloud strategy, leading hybrid initiatives that transition appropriate workloads to AWS, while maintaining critical on-premise operations., • Own infrastructure projects from design to deployment across our entire organization., • Support DevOps workflows by providing infrastructure support for tools like Nomad, Consul, and Vault within the VMware ecosystem., • Evaluate cloud-based tools and services (e.g., Azure AD, Exchange Online, GCP workloads) to enhance reliability, scalability, or collaboration for internal teams., • Stay informed on industry trends, especially related to VMware’s roadmap under Broadcom, and guide cloud and infrastructure planning accordingly., • Lead or support escalations during critical incidents, contributing to root-cause analysis and resilience improvement efforts.Requirements: Must-Have Skills • 8+ years of experience in IT systems engineering, including 5+ years hands-on with VMware technologies., • Deep technical expertise in VMware vSphere, vCenter, ESXi, and Horizon (VDI)., • Demonstrated experience architecting and supporting high-availability virtual environments., • Strong knowledge of SAN storage configuration, data center power/cooling, and rack-and-stack practices., • Experience with Linux (Debian, Photon OS) and Windows Server administration., • Comfort with automation and scripting using PowerShell, Bash, or similar., • Proven leadership in a team lead or project lead capacity; ability to guide and mentor engineers effectively., • Strong troubleshooting and incident response skills with a calm, analytical approach., • Excellent written and verbal communication skills., • Familiarity with HashiCorp Nomad (container orchestration), Vault (secrets management), and Consul (service discovery)., • Exposure to Google Cloud Platform (GCP) or Azure in addition to AWS. Impactful Work: Your contributions will directly impact on the reliability and security of our life-saving services. Cutting-Edge Technology: Work with the latest technologies in a dynamic and innovative environment. Competitive Compensation & Benefits: We offer a competitive salary and comprehensive benefits package. Collaborative Culture: Be part of a talented and supportive team. Affiliated Monitoring is an Equal Opportunity Employer. Here, we believe that embracing innovation is not just a core value, but a responsibility. We are committed to building an inclusive and diverse workplace where everyone, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic, feels valued and supported. We provide equal opportunities to all applicants and employees and strive to foster a culture where differences are celebrated, and everyone's voice is heard. Your unique perspectives and experiences are what drive us forward.

Job Description Microsoft Fabric Data Engineer - 6 month Hybrid full-time role. Our client is seeking a highly experienced Microsoft Fabric Data Engineer to design, build, and optimize our enterprise data and analytics platform. The ideal candidate will be an expert in the Microsoft Azure ecosystem, with deep hands-on experience in data management, ETL/ELT processes, and big data technologies. You will be instrumental in migrating and modernizing our data infrastructure, ensuring it is scalable, performant, and cost-effective to support advanced analytics and business intelligence. Key Responsibilities: • Architect & Implement Data Solutions: Design, implement, and manage scalable data storage and processing systems using Azure services including Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database., • Develop Data Pipelines: Build, maintain, and orchestrate efficient, scalable, and reliable ETL/ELT processes using Azure Data Factory and Apache Spark (PySpark) to integrate data from diverse sources., • Drive Platform Migration: Lead and contribute to the build-out of new applications and the migration of existing ones to a modern cloud-based data architecture within an Agile (SAFe) framework., • Optimize Performance: Proactively monitor, troubleshoot, and optimize data pipelines and database systems for maximum performance, efficiency, and cost-management., • Collaborate in Agile Teams: Work closely with Scrum Masters, Product Owners, and cross-functional teams to deliver high-value features and meet sprint objectives., • Ensure Best Practices: Document data models, engineering processes, and pipelines to ensure clarity, transparency, and long-term maintainability., • Location: Must be local to Newark, New Jersey or the surrounding area., • Azure Expertise: 7+ years of hands-on experience designing and implementing solutions within Microsoft Azure., • Data Platform Focus: 5+ years of proven experience specifically building and optimizing data and analytics platforms on Azure., • Certification: Must possess either the DP-600 (Microsoft Fabric Analytics Engineer) or DP-203 (Azure Data Engineer Associate) certification. Direct hands-on experience with Microsoft Fabric is also highly valued., • Technical Proficiency:, • Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, and Azure Data Lake Storage (Gen2)., • 3+ years of strong programming experience with Python and PySpark for data processing and automation. Education: Bachelors degree in Computer Science, Information Technology, or a related field. Preferred Skills: • Proficiency with project management and collaboration tools such as Jira and Confluence., • In-depth understanding of SAFe (Scaled Agile Framework) principles and DevOps practices., • Strong knowledge of data modeling, data warehousing concepts, and best practices., • Excellent problem-solving and analytical skills, with a proven ability to perform root cause analysis and implement effective solutions., • Meticulous attention to detail and an unwavering commitment to data accuracy and quality. What's on Offer: • A competitive salary and comprehensive benefits package., • The opportunity to work on a high-impact, large-scale migration project with modern technologies., • A collaborative and innovative work environment that fosters professional growth. If you are a local New Jersey candidate who meets all the "Must-Have" qualifications and is excited to take on this challenge, please apply with your updated resume detailing your relevant experience. Equal Opportunity Employer Fortis Hayes is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description Microsoft Fabric Data Engineer needs 7+ years of experience in Microsoft Azure Microsoft Fabric Data Engineer requires: • 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions., • Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in:, • Software development and scripting languages, • ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)., • Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)., • Knowledge of data modeling and data warehousing concepts., • Excellent problem-solving and troubleshooting abilities., • Attention to detail and commitment to data accuracy., • Experience with cloud-based data migration., • Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions., • Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver., • 3+ years of programming experience in Python/Pyspark., • 7+ years of experience in Microsoft Azure., • Knowledge of Jira, Confluence, SAFe development methodology & DevOps., • Skills: Microsoft Fabric Data Engineer, Microsoft Azure, Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, ETL Tools, Database management, Cloud-based data migration, Python, PySpark

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization. Requirements • 8+ years of overall industry experience specifically in data engineering, • Strong knowledge of data engineering principles, data integration, and data warehousing concepts., • Strong understanding of the pharmaceutical/ Life Science domain, including knowledge of patient data, Commercial data, drug development processes, and healthcare data., • Proficiency in data engineering technologies and tools, such as SQL, Python, ETL frameworks, data integration platforms, and data warehousing solutions., • Experience with data modeling, database design, and data architecture principles., • Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms - AWS, Azure, • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets., • Strong communication and collaboration abilities. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Job DescriptionKey Responsibilities: * Develop, integrate, and support GenAI-powered solutions using Python and .NET frameworks. * Collaborate with engineering teams to address real-world challenges using LLMs (as consumers, not model creators). * Apply deep problem-solving skills to engineer solutions — not just propose architectures. * Scale AI models for enterprise-level performance, considering optimization, tokenization, and cost efficiency. * Justify and implement tokenizer strategies and other AI engineering techniques for better model utility. * Work cross-functionally with product owners, data scientists, and cloud engineers to deliver impactful GenAI solutions. * Remain current with industry best practices and GenAI trends, adapting solutions accordingly. Required Skills Qualifications: * 5+ years of software engineering experience with a strong focus on Python development. * Solid working knowledge of .NET framework (C# or ASP.NET). * Demonstrated experience in delivering solution-oriented AI implementations (not just model development). * Hands-on experience with LLMs (e.g., OpenAI, Azure OpenAI, HuggingFace) in real-world applications. * Strong understanding of tokenization, inference strategies, and model scaling principles. * Ability to explain and justify engineering decisions to both technical and non-technical stakeholders. * Comfortable working in agile, cross-functional environments with high accountability. Nice to Have: * Familiarity with cloud-based AI/ML environments (Azure preferred). * Exposure to MLOps practices and deployment pipelines. * Experience with prompt engineering, embedding models, or retrieval-augmented generation (RAG)

Job DescriptionDescription: Job Overview As a Systems Engineer, you will play a key role in the design, implementation, and ongoing operation of our VMware, Windows, Linux, and storage environments. You’ll work closely with the Lead Systems Engineer, as well as networking, security, and operations teams, to maintain and improve a hybrid infrastructure that supports our life-saving services. Key Responsibilities VMware & Virtualization Infrastructure • Deploy, manage, and monitor VMware infrastructure including ESXi hosts, vSphere clusters, and vCenter across production environments., • Support and maintain the Horizon VDI environment, including gold image updates, tuning, and stability., • Build and cable physical servers, ensuring integration with network, power, and storage infrastructure., • Collaborate with the Networking team to align VLANs, switching, and virtual networking within VMware., • Administer Windows Server and Linux systems in a hybrid environment (primarily Windows, some Linux)., • Manage SAN storage arrays, including provisioning, performance, and capacity planning., • Support rack-and-stack, cabling, and data center best practices for power/cooling., • Contribute to system design and implementation for new projects under the guidance of the Lead Systems Engineer., • Provide support for workloads integrated with cloud services (AWS familiarity expected)., • Assist in hybrid infrastructure initiatives as directed by the Lead Systems Engineer., • Work closely with Systems, Networking, Security, and Operations teams to ensure smooth infrastructure operations., • Document systems, processes, and solutions to maintain a high standard of operational readiness., • 3–5 years of experience in IT systems engineering., • Strong hands-on expertise with VMware vSphere, vCenter, ESXi, and Horizon (VDI)., • Proven experience administering Windows Server environments, with some Linux exposure., • Experience managing SAN storage and performing rack-and-stack/data center work., • Strong troubleshooting and escalation response skills., • Excellent written and verbal communication skills., • Scripting and automation experience (PowerShell, Bash, Ansible, Terraform)., • Industry certifications (VMware, AWS, Microsoft, etc.)., • Knowledge of ITIL, service management, or compliance frameworks such as SOC 2., • Impactful Work: Your contributions will directly impact the reliability and security of our life-saving services., • Cutting-Edge Technology: Work with the latest technologies in a dynamic and innovative environment., • Collaborative Culture: Be part of a talented and supportive team., • Competitive Compensation & Benefits: We offer a comprehensive package to support your success. Affiliated Monitoring is an Equal Opportunity Employer. Here, we believe that embracing innovation is not just a core value, but a responsibility. We are committed to building an inclusive and diverse workplace where everyone, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic, feels valued and supported. We provide equal opportunities to all applicants and employees and strive to foster a culture where differences are celebrated, and everyone's voice is heard. Your unique perspectives and experiences are what drive us forward.

Job Description Role: Devops Engineer Location: Woodbridge Township New Jersey Look for Local/Nearby candidates W2 Candidates(USC,GC.GC EAD,H4EAD)- with minimum validity of 12 months Only one round- F2F Required This role focuses on building and securing the OpenShift Container Platform environment from the ground up. The individual will be instrumental in establishing and maintaining a secure and compliant infrastructure for the new data risk and control platform. 7+ years of -hands-on experience establishing SecDevOps and CI/CD pipelines from scratch for enterprise solutions -hands-on experience leading and implementing enterprise & tech mandated non-functional requirements (NFR) -experience aligning delivering on performance metrics and SLAs, building tools and frameworks to ensure metrics/SLAs adherence, and setting up best technology practices -experience working closely with partners in Infosec, Infrastructure and Operations to align with technology standards and establish CI/CD & SecDevOps practices -experience identifying, managing and remediating IT risk and tech debt -hands-on experience leveraging various approved on-prem and cloud capabilities to have seamless CI/CD integration with build, test, deployment and prod monitoring Experience with establishing production operating model, change, incident & defect management Experience establishing frameworks and best practices for seamless integration 7+ years of experience with Docker, Kubernetes, OpenShift containers 5+ years of experience with Cloud Providers like OpenShift (OCP), GCP, Azure 7+ years of experience with Eclipse/intelliJ IDE 5+ years of experience with CI/CD tools like Jenkins, Harness, UCD, GitHub, Maven, Gradle 5+ years of experience with DevSecOps tools like SonarQube, GitLab, Checkmarx, Black Duck 5+ years of experience with Deployment, Logging, Monitoring tools ELK Stack, Splunk, AppDynamics, Liquibase 5+ Proficiency in scripting languages such as Python, Bash, Shell 3+ years of experience with tests frameworks using Jasmine, Karma, Selenium, Junit, JMeter, Rest Assured, Postman 3+ years of experience working in Agile environment using Scrum/Kanban 3+ years of experience working in Jira, Confluence 3+ years of experience with ServiceNow workflows to manage production changes, incidents and defects

This role is responsible for managing data entry into the AS400 mainframe system, ensuring the accuracy of purchase orders, EDI transactions, and import documentation.

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This role is responsible for managing data entry into the AS400 mainframe system, ensuring the accuracy of purchase orders, EDI transactions, and import documentation.

Be part of our success story as a American Airlines Data Entry Clerk to respond promptly to inquiries and resolve basic issues, follow safety procedures and company policies, and manage daily responsibilities with a focus on quality and efficiency.

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We’re looking for Data Entry Specialists for Customer Products across the US to work from home and help top brands improve their products before they hit the market.

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We’re looking for Data Entry Specialists for Customer Products across the US to work from home and help top brands improve their products before they hit the market.