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About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview "Applicants must be authorized to work for any employer in the United States. Selective will not sponsor or assume the sponsorship of an employment visa at this time". Note for NJ candidates: This role will be located at our future headquarters in Short Hills, N.J. Until the new headquarters is operational, the successful candidate will be offered the ability to work in our Branchville, N.J. location during this interim period. As Lead Software Engineer, you will drive technical direction and execution for robust, scalable, and maintainable enterprise software solutions within our cloud-first environment. You will champion engineering discipline by enforcing coding standards, architectural principles, and best practices throughout the development lifecycle. This role is pivotal in guiding engineers, conducting thorough code reviews, leading by example in modern engineering practices, and fostering a culture of continuous improvement and technical excellence. You will also architect and integrate AI-powered features using Azure AI Services, helping deliver intelligent solutions that align with our business objectives. Responsibilities • Lead the design, development, and deployment of cloud-native, full-stack applications with .NET and Azure, ensuring scalability, performance, and reliability., • Establish and enforce coding standards, design patterns, and architectural guidelines across software projects., • Champion best practices in automated testing, CI/CD pipelines, Infrastructure-as-Code (Terraform, Bicep, ARM), and rigorous documentation., • Architect and integrate AI capabilities using Azure AI Services (Cognitive Services, ML, OpenAI, Bot Services) for predictive analytics, NLP, and intelligent automation., • Conduct code reviews, provide constructive feedback, and mentor engineering talent in cloud-native, AI, and agile delivery practices., • Collaborate with product, QA, and cross-functional teams to clarify requirements, refine technical solutions, and deliver features aligned to business needs., • Continuously evaluate and adopt new technologies, tools, and methodologies to improve productivity, quality, and security., • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline., • 7+ years of hands-on experience in software engineering and architecture, with deep knowledge of .NET (C#, ASP.NET Core) and Azure cloud services., • Advanced proficiency in Azure AI Services for developing and deploying enterprise AI-driven solutions., • Expertise in microservices, API-first design (REST/GraphQL), event-driven systems, and container orchestration (Docker, Kubernetes)., • Proficiency in DevOps, CI/CD, Infrastructure-as-Code, and Agile/Scrum/SAFe methodologies., • Strong code review, testing, problem-solving, and leadership skills., • Experience integrating AI features via REST APIs or SDKs into business applications., • Business Process Management (BPM) implementation experience, especially with Pega, is a plus., • Experience with Python, and familiarity with machine learning/deep learning frameworks such as TensorFlow and PyTorch., • Hands-on with additional BPM tools (Camunda, Appian)., • Front-end frameworks (Angular, React), advanced SQL, and data streaming technologies (Kafka, RabbitMQ)., • Knowledge of data privacy, compliance, and security requirements for cloud and AI adoption. Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $119,000.00 - USD $163,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

Job Title: Senior Data Engineer Location: Newark, NJ Duration: 12 months Job Description Senior Data Governance Engineer (Microsoft Purview) with deep, hands-on experience implementing and operating Microsoft Purview in enterprise data environments. Required Skills and Qualifications • 5+ years experience in data engineering, analytics engineering, or data governance, • 3+ years Hands-on production experience implementing and configuring Microsoft Purview components including Collections, Scanners, Metadata catalog, Classifications, Glossary, and Lineage, • Demonstrated ability to maintain and enhance existing Purview deployments by resolving scan, lineage, and metadata issues, • Experience developing automation using Microsoft Purview REST APIs and SDKs, • Experience with Purview Data Quality including profiling, rules, thresholds, and monitoring, • Experience with Purview Workflow for approval processes and governance automation, • Ability to build custom Fabric reports and dashboards using data from Microsoft Purview, • Ability to implement solutions that enable AI-driven insights and automation, • Strong knowledge of Azure and AWS data services, • Agile experience, • Financial services tech experience is plus, • Ability to document technical implementations clearly for technical and non-technical audiences, • Experience working embedded with data engineering and governance teams, • Comfortable participating in team syncs and presenting technical solutions to stakeholders

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Genesis10 is currently seeking an Azure Data Engineer for a hybrid position with a Major Financial Institution located in Jersey City, NJ. This role will support a project to centralize Insider Risk (IR) data and governance within the Cybersecurity Data Lakehouse (CyberDW). This position acts as a t

Data Engineer JOB LOCATION: Remote WAGE RANGE*: $55hr to $60hr JOB NUMBER: 26-00546 REQUIRED EXPERIENCE: Power BI Expert Preferred Experience Experience building enterprise BI platforms serving 500+ users Experience with Power BI governance frameworks Experience integrating Power BI with Azure Synap

Databricks Fullstack Engineer will be responsible for: Design and implement Databricks Lakehouse / Lakebase platforms using Medallion Architecture, Unity catalog Build and deploy Databricks Apps with Python based backends Develop end-to-end data pipelines (batch & streaming) on Azure Databricks Buil

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Join an inclusive, collaborative Business Technology team as a Principal Cloud Architect in AbbVie BTS. In this role, you will serve as a technical visionary, shaping enterprise cloud strategy and driving innovation in a global, highly regulated environment. You’ll lead the design and implementation of cloud-native architectures—primarily on AWS—while ensuring alignment with business objectives. Partnering with multidisciplinary teams and specialized architects in Security, Data, Network, Application, and UX, you will integrate cloud solutions across Enterprise Architecture to enhance product delivery and accelerate adoption of modern platforms. In this role you’ll be responsible for: * Define, drive, and continually refine the enterprise cloud architecture strategy, ensuring alignment with organizational vision, business objectives, and compliance standards (i.e., GxP). * Lead the architecture, design, and hands-on implementation of secure, resilient, and scalable AWS-centered solutions, leveraging strategic use of services such as EC2, S3, ECS, EKS, Lambda, Aurora, DynamoDB, RDS, and EventBridge. * Develop, evaluate, and endorse architectural diagrams and comprehensive documentation for cloud solutions, ensuring alignment with best practices and collaboration across technical and business stakeholders. * Oversee design and automation of cloud infrastructure using Infrastructure as Code (CloudFormation, AWS CDK, Terraform, Pulumi, Ansible), fostering reliable, repeatable cloud deployments at scale. * Lead the strategic architecture for multicloud and hybrid data platforms—primarily AWS (Glue, Athena, Redshift) and Azure Data Lake—defining standards, governance, and engineering patterns for regulated analytics pipelines and enterprise data lakes leveraging technologies such as Spark, Databricks Lakehouse, and cloudnative services. * Drive DevOps & automation excellence: design, implement, and govern robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, CircleCI, Azure DevOps, AWS CodePipeline/CodeBuild), ensuring efficient application delivery and automated infrastructure management. * Champion the AWS Well-Architected Framework by embedding its pillars (operational excellence, security, reliability, performance efficiency, cost optimization) into enterprise practice and conducting regular reviews for continuous improvement. * Lead the strategic architecture for containerized (EKS, ECS, Fargate) and serverless (Lambda, Step Functions, EventBridge) platforms, setting direction, standards, and decision frameworks that enable scalable and costefficient microservices, batch, and eventdriven systems. * Ensure robust security and compliance within all cloud implementations, including access controls (IAM), data encryption, management of validated environments, and close collaboration with compliance and audit teams. * Architect solutions for modernization and migration of on-premises applications, data, and infrastructure to scalable, secure, and cost-effective cloud-native solutions, leveraging automation, best practices, and compliance standards throughout the process. * Set the strategic direction for cloud guardrails—spanning landing zones, account and network patterns, IAM boundaries, encryption, logging, tagging, and policyascode—to ensure enterprisealigned risk, security, and compliance across AWS and Azure. * Serve as a technical authority and mentor—influencing stakeholders, guiding engineers, and reviewing designs to raise the overall architecture bar. * Architect observability solutions with best practices from the industry * Use AI/MCP-enabled capabilities to quickly validate cloud designs, enable guided best-practice workflows with auditability, and enhance infrastructure management through ergonomic, automated actions. * Oversee cloud cost management by monitoring and optimizing cloud service expenses and implementing tagging and financial governance across multi-cloud environments. * Guide operational leadership through incident and problem management, continuous infrastructure reliability improvement, and engagement with application teams on innovative proof-of-concept pilots (AI and cloud advancements). * Present and communicate cloud architecture strategies, roadmaps, and solutions effectively to both senior leaders and peer architects, fostering organization-wide architectural alignment. * Build and maintain strategic relationships with affiliates, partners, vendors, and the broader industry to advance technology initiatives in alignment with corporate values. Qualifications Required: • Bachelor's Degree with 9 years’ experience; Master's Degree with 8 years’ experience; PhD with 4 years’ experience. AWS Core: EC2, VPC, S3, ECS, EKS, RDS, Lambda, DynamoDB, EventBridge, CloudWatch * Multi-cloud & Data: Azure, Azure Data Lake, Databricks, Athena, Redshift * IaC: CloudFormation, AWS CDK, Terraform, Ansible * DevOps/Automation: Jenkins, GitHub, Azure DevOps, AWS CodePipeline/CodeBuild, Git, PowerShell, Python, Bash * Security & Compliance: IAM, encryption standards, compliance with GxP, 21 CFR Part 11, HIPAA, GDPR * Networking: VPC, subnetting, VPN, Direct Connect, routing, load balancing * Monitoring: AWS CloudWatch, Datadog, New Relic * Communication & Leadership: Excellent verbal/written communication to technical and non-technical audiences; ability to foster cross-functional collaboration and document/present technical solutions Preferred: * Cloud Architecture – 9+ years of experience in designing and supporting multi-cloud infrastructures, focusing primarily on AWS (required) and Google Cloud (GCP) & Azure (optional) (Candidates with a master’s degree must have 8+ years, PhD must have 5+ years). Industry experience is a plus. * AWS Environment – Demonstrated expertise in deploying, managing, and optimizing large-scale AWS environments for performance, scalability, and resilience, while applying AWS Well-Architected Framework principles to ensure security, reliability, cost efficiency, and operational excellence. * CI/CD Pipelines – Proven track record in architecting and managing robust CI/CD pipelines using AWS technologies to drive software development efficiency and speed. * Certifications – Holds AWS Certified Solutions Architect (Professional), AWS Certified DevOps Engineer, and AWS Certified Cloud Practitioner certifications. Security credentials like CISSP or CCSP are advantageous. * AWS Services Expertise – Strong knowledge of AWS core services (EC2, VPC, S3, RDS) combined with advanced skills in AWS Lambda, DynamoDB, ECS, EKS, and Fargate for developing scalable, serverless, and containerized applications. * Infrastructure as Code & Automation – Advanced use of CloudFormation and Terraform for IaC; proficient with automation tools such as Jenkins, Ansible, Git, and scripting with Python, Bash, and PowerShell to drive strategic cloud optimization. * Service Delivery – Demonstrate proficiency in using agile tools such as Jira to manage and deliver product-based cloud solution releases efficiently. * Security & Compliance – In-depth knowledge of cloud networking, IAM, security protocols, and compliance standards to deliver secure and efficient cloud environments. * Monitoring & Governance – Experience with AWS management and governance tools, alongside monitoring solutions like AWS CloudWatch and other third-party options enhanced by utilizing security tools like Wizio. * High Availability & Resilience – Expertise in architecting high availability and disaster recovery solutions on AWS, ensuring business continuity and operational resilience. * Communication & Leadership – Ability to convey complex technical concepts to diverse audiences, from business to technical stakeholders, fostering collaboration and alignment. * Innovation – Strong command of integrating emerging AWS technologies to stay at the forefront of cloud innovation and maintain a competitive advantage. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately paymore or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and untilpaid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

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 Job Description Title: Azure Data Engineer Location: Hybrid/Jersey City, NJ Contract Duration: 12 Months Summary: Senior Azure Data Engineer responsible for designing and building secure data pipelines and centralized data lakehouse solutions for Insider Risk data using Azure technologies. Key Responsibilities * Develop and optimize data ingestion pipelines for Insider Risk data (DSPM, DLP) into the Cybersecurity Data Lakehouse (CyberDW). * Design, build, and maintain scalable data solutions using Azure Synapse, Data Factory, and Databricks. * * Act as a technical liaison between Data Owners, Insider Risk, and Security Engineering teams. * Ensure data security, governance, and compliance across all data processes. * Manage sprint updates, follow-ups, and ensure adherence to Agile SDLC processes. Required Skills & Qualifications * Strong experience with Microsoft Azure (Synapse, Data Factory, Databricks). * Hands-on expertise in building ETL/ELT pipelines and data lake architectures. * Knowledge of data security, governance, and Insider Risk concepts (DLP, DSPM). * Experience working in Agile environments with cross-functional teams. * Azure certifications preferred.

Job DescriptionThe Opportunity:The Implementation Engineer is responsible for the hands-on technical deployment, configuration, and validation of SPHEREboard within enterprise client environments. Working closely with the Implementation Manager, project stakeholders, and customer IT/security teams, this role ensures the successful integration of SPHEREboard with client infrastructure, identity systems, and data sources. This position requires strong technical troubleshooting skills, experience interacting directly with clients, attention to detail, and an understanding of enterprise security and identity governance ecosystems. Key Responsibilities:1. Deployment & Configuration • Install, configure, and validate SPHEREboard components, including connectors, agents, and data collectors., • Integrate SPHEREboard with Active Directory, Azure AD, Okta, LDAP, cloud platforms, and data repositories., • Execute technical implementation tasks according to project timelines and requirements., • Validate proper data ingestion, normalization, and visualization within SPHEREboard.2. Technical Discovery & Requirements Gathering, • Collaborate with the client and internal teams to collect technical and security requirements., • Analyze existing infrastructure and identify integration points with SPHEREboard., • Document all environmental configurations and technical assumptions.3. Troubleshooting & Issue Resolution, • Diagnose and resolve deployment issues related to network access, authentication, data pipelines, and connector configurations., • Work with Engineering and Product teams to escalate and resolve complex technical problems., • Implement solutions with a security-first mindset and in compliance with client policies.4. Documentation & Knowledge Sharing, • Create and maintain technical documentation for each deployment, including environment details, integration steps, and validation results., • Contribute to internal knowledge bases, deployment guides, and reusable scripts., • Provide feedback to Product and Engineering on platform usability and deployment challenges.5. Collaboration & Support, • Work under the direction of the Implementation Manager to execute scoped tasks and report status., • Participate in internal stand-ups, client check-ins, and retrospectives., • Support training and knowledge transfer to customer administrators’ post-deployment. Why Join Us:, • Deployment quality and accuracy (e.g., data integrity, connector success rate)., • Time-to-completion of assigned implementation phases., • Client satisfaction with technical execution., • Frequency and resolution time of escalated technical issues., • Adherence to internal processes, documentation, and quality standards. About Sphere:SPHERE is a leading innovator in Identity Hygiene/Intelligence space, helping global enterprises reduce risk, ensure compliance, and achieve security maturity. We work closely with an ecosystem of technology partners, integrators, and alliances to deliver solutions that protect what matters most — people, data, and trust. To find out more about SPHERE and our solutions, please visit SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR to2bcoz78S

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About Us: CoreWeave is the AI Hyperscaler™, delivering a cloud platform of cutting-edge services powering the next wave of AI. Our technology provides enterprises and leading AI labs with the most performant, efficient, and resilient solutions for accelerated computing. Since 2017, CoreWeave has operated a growing footprint of data centers covering every region of the US and across Europe. CoreWeave was ranked as one of the TIME100 most influential companies of 2024. As the leader in the industry, we thrive in an environment where adaptability and resilience are key. Our culture offers career-defining opportunities for those who excel amid change and challenge. If you're someone who thrives in a dynamic environment, enjoys solving complex problems, and is eager to make a significant impact, CoreWeave is the place for you. Join us, and be part of a team solving some of the most exciting challenges in the industry. CoreWeave powers the creation and delivery of the intelligence that drives innovation. What You'll Do: As a Production Engineer in Security at CoreWeave, you'll ensure the reliability, scalability, and performance of our security systems and cloud platform. You'll develop and maintain systems that support our rapidly growing infrastructure, automate operational tasks, and continuously improve the security and resiliency of our services. • Design, implement, and maintain scalable and highly available security related infrastructure using Kubernetes and cloud-native technologies, • Develop automation and monitoring solutions to proactively identify and mitigate reliability risks, • Collaborate with engineering teams to optimize system performance, reduce latency, and improve service uptime, • Participate in incident management, conduct root cause analysis, and implement solutions to prevent recurrence Who You Are Minimum Qualifications • 5+ years of experience in site reliability engineering, DevOps, security engineering, security operations or related roles, • Strong proficiency with Kubernetes, container orchestration, and cloud-native technologies, • Experience managing and operating Teleport for infrastructure access control., • Expertise in automation and scripting languages such as Python, Bash, or Go, • Familiarity with observability platforms (e.g., Prometheus, Grafana, Datadog). The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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 DescriptionCompany Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Join an inclusive, collaborative Business Technology team as a Principal AWS Engineer in AbbVie BTS. In this hands-on role, you will architect, build, and optimize enterprise-scale AWS solutions, directly implementing cloud-native architectures, automation, and AI-driven enhancements in a global, highly regulated environment. You’ll lead by example—delivering robust, secure, and scalable AWS platforms—while also serving as a technical mentor and strategic leader to accelerate AbbVie’s digital transformation. In this role you’ll be responsible for: * Design and implement complex, secure cloud solutions that meet business needs and align with enterprise and functional architecture, while documenting technical decisions for clarity and reuse. * Lead development of AWS-based applications using Lambda, API Gateway, and ECS, and prototype scalable APIs with a focus on integration, security, reliability, and observability. * Build and automate infrastructure as code (IaC) with CloudFormation, AWS CDK, Terraform, and Ansible to deliver reliable, repeatable deployments at scale. * Design, implement, and manage CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) for application and infrastructure delivery, integrating automated testing, security scanning, and policy checks. * Implement DevOps best practices using AWS CloudFormation, GitHub, and Docker, codifying environments and promotion workflows across environments. * Deploy and operate containerized and serverless workloads (EKS/ECS/Fargate, Lambda/Step Functions, EventBridge), selecting optimal compute strategies for microservices, batch, and event-driven architectures. * Integrate and leverage AI tools (Amazon Q, Claude, Datadog AI, AWS AI/ML services) to automate operational tasks, enhance monitoring, enable predictive scaling, and streamline incident response. * Develop and maintain AI-driven runbooks and workflows for anomaly detection, automated remediation, and continuous improvement of cloud operations; use AI-powered solutions to identify process improvement opportunities and automate repetitive tasks. * Monitor, troubleshoot, and optimize performance, reliability, and cost using CloudWatch, Datadog, Prometheus, Grafana, ELK, and AI-driven observability platforms. * Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability and efficiency. * Implement and enforce robust security and compliance (IAM, KMS, Secrets Manager, security groups, encryption in transit/at rest) aligned to GxP, HIPAA, GDPR, and AbbVie policies; collaborate with security architecture to ensure corporate requirements are met. * Mentor engineers and collaborate with cross-disciplinary teams (Security, Data, Network, Application, UX), champion the AWS Well-Architected Framework, guide incident/problem management, oversee cost management and financial governance, and build strategic relationships to advance technology initiatives. Qualifications Required: • Bachelor's Degree with 8 years experience; Master's Degree with 7 years experience; PhD with 3 years experience. Experience in application program development. AWS Core: EC2, VPC, S3, Lambda, RDS/Aurora, DynamoDB, EventBridge, EKS/ECS/Fargate, API Gateway, Control Tower, Identity Center, CloudWatch * Landing Zone & Governance: Secure Landing Zone, AWS Organizations, multi-account guardrails, SCPs * IaC & Automation: CloudFormation, AWS CDK, Terraform, Ansible; GitHub Actions, Jenkins, CodePipeline; Git, Python, Bash, PowerShell, Docker * DevOps & SDLC: Trunk-based development, automated testing, GitOps (ArgoCD, Flux), policy-as-code, artifact management * AI & Observability: Amazon Q, Claude, Datadog AI, AWS AI/ML services; AI-powered monitoring/automation, anomaly detection, predictive scaling, automated triage * Security & Compliance: IAM, KMS, Secrets Manager, GuardDuty, Security Hub, AWS WAF; alignment to GxP, HIPAA, GDPR, 21 CFR Part 11; Tenable/WizIO integrations * Monitoring & Mgmt: CloudWatch, ServiceNow, Datadog, Prometheus, Grafana, ELK; optional Splunk, SolarWinds, Dynatrace * Networking: VPC design, subnetting, NAT/Transit Gateway, VPN/Direct Connect, routing, load balancing * Containerization: Docker, Kubernetes (EKS), ECS, Fargate * Communication & Leadership: Clear written/verbal communication for technical and non-technical audiences; effective cross-functional collaboration Preferred: * Hands-on AWS Engineering – 8+ years designing, building, and operating large-scale AWS platforms (multi-cloud experience with Azure/GCP is a plus); pharma/regulatory experience preferred. * Serverless & Containers – Deep experience with Lambda, API Gateway, ECS/EKS, service mesh, and secure API design. * CI/CD & Automation – Proven track record building robust pipelines and IaC for applications and infrastructure with CloudFormation/Terraform/CDK. * AI Tools & Integration – Demonstrated experience using and integrating AI/ML tools (Amazon Q, Claude, Datadog AI, AWS AI/ML services) into DevOps, monitoring, and automation workflows for process improvement and operational efficiency. * Security & Compliance – Strong grounding in IAM, encryption, network security, validated environments, and regulated-environment controls. * Monitoring & Governance – Comprehensive experience with CloudWatch and third-party monitoring tools (e.g., WizIO, ServiceNow) to ensure enterprise reliability. * Resilience & DR – Architecture patterns for high availability/disaster recovery on AWS; experience with chaos engineering and reliability testing. * Leadership & Mentorship – Demonstrated ability to mentor engineers and influence cross-functional teams, recognized SME in AWS cloud services. * Certifications – AWS Solutions Architect – Professional (preferred), AWS DevOps Engineer, Cloud Practitioner; security credentials (CISSP/CCSP) advantageous. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: * The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately paymore or less than the posted range. This range may be modified in the future. * We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and untilpaid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

Data Warehousing, Data integration or Data Engineering projects. Works closely with the lead to create/review low level implementation designs, understand high level data flow designs developed by Data Architects. AWS Certified Data Analytics, Azure Data Engineer Associate).

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Strong ability to manage multiple projects with competing deadlines • Ability to effectively interact and build relationships with senior management and stakeholders • Strong project and people management skills • Excellent communication skills Preferred • Experience in financial domain •

Data Entry experience not required. Remote Work From Home Data Entry Clerk - Part Time Market Research Panelists Our company is seeking individuals to participate in National & Local Paid Focus Groups, Clinical Trials, and Market Research assignments. Data entry clerk experience is not necessary.

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One of the following active accreditations obtained:Licensed CPA in state of practice/primary office if eligible to sit for the CPAIf not CPA eligible:Licensed AttorneyEnrolled AgentTechnology Certifications:AWS Certified Solutions ArchitectCertified in Risk and Information Systems Controls (CRISC)C

Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Strong background in cloud-native architecture on Microsoft Azu

Responsibilities- Lead the implementation of cloud solutions and migrations- Evaluate cloud application requirements- Make architectural recommendations- Oversee successful deployment and provisioning of applications- Analyze and address complex issues- Mentor and support team members- Maintain exem

MySQL, Object Stores)Strong fundamentals in Infrastructure as Code (IaC), preferably TerraformProficiency with at least one cloud platform (AWS, GCP, Azure); experience across multiple platforms is a plusStrong Linux/Unix command line experienceBasic proficiency in Python and familiarity with ML wor

AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus- Designing and implementing thorough data architecture str

Partner with account teams to shape solution design narratives (process + data + integration), clarifying what’s live vs. What you should bring Experience in solution engineering, pre-sales, or product consulting, ideally in a SaaS, procurement, or automation tooling context. Job SummaryCate

Mentor engineers on effective AI-assisted development patterns, prompt engineering, and AI tool workflows. Preferred Qualifications AWS Certifications such as AWS Certified Solutions Architect — Professional, AWS Certified DevOps Engineer, or AWS Certified Developer. Design scalable, secure, and

Prior experience as a Solutions Architect, Pre-Sales Engineer, or Sales Engineer within an MSP, MSSP, or healthcare-focused technology firm. Collaborate with engineering, service delivery, and product teams to ensure solutions align with standard offerings and delivery capabilities. Hands-on knowled

Join Our Team as a Work-From-Home Data Entry Research Panelist!. Are you ready to earn money from the comfort of your own home? This exciting opportunity is perfect for anyone with a variety of skills and backgrounds whether you've been an administrative assistant, data entry clerk, typist, custome

Earn At Home Panelist Program - Customer Service Rep - Data Entry Clerk - Work From Home & Part-time. As a Team Member, you will certainly be doing numerous work such as online data entry, performing e-mail response, reviews, studies and also various other online jobs. Data entry and also strong org

Insight Global is looking for a Google Cloud Engineer to join one of our largest financial clients in Jersey City, NJ or Pittsburgh, PA. They will be joining the Technology Services Group on the Public Cloud Engineering team. Each cloud platform is at a different stage of being set up into the envir

Integrate Snowflake with SAP data sources and other data platform components, including Databricks, Azure Data Factory, and cloud storage. You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet perfor

Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Formal training or certification on software engineering concepts and 7+ years applied experience.

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.

Good knowledge of SQL programming preferably with databases such as Oracle Exadata. The team will be subject to multiple critical regulations and also going through a Technology Transformation Journey to build and adopt General capabilities for Data Ingestion, Rules Authoring Execution, and Analytic

Supervision/oversight of engineering assistants, documentation personnel, design and test personnel on project activities as required. While performing the duties of this job, the Mechanical Engineer is regularly required to see, talk and hear. Regular interaction required with other engineers and t

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technolo

Master's Degree in Information Technology, Computer Science, Computer and Information Science, Computer Engineering, Engineering preferred.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. NTT DATA endeavors to make . NTT DATA is an equal opportunity employer.