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Cloud Admin | Hybrid | Up to $145,000 based on experience | Ridgefield NJ A growing technology organisation is seeking a Senior Engineer to manage and optimise cloud and hybrid infrastructure environments. This role spans both project delivery and operational support, with a strong focus on Linux-based systems alongside Windows, and ownership of cloud platforms and automation initiatives. Responsibilities • Manage and optimise cloud infrastructure across multi-platform environments, • Administer and support both Linux and Windows systems, • Perform system maintenance, patching, and upgrades, • Support and manage application deployments via CI/CD pipelines, • Work with containerised environments and orchestration tools, • Implement and maintain Infrastructure as Code solutions, • Contribute to automation and continuous improvement initiatives, • Participate in on-call rotation and support escalations, • Collaborate with internal engineering and development teams Requirements • Strong experience with public cloud platforms (AWS and/or Azure), • Advanced Linux administration skills with some Windows exposure, • Experience with containerisation (Docker, Kubernetes or similar), • Proficiency in scripting/automation (e.g. Bash, Python, PowerShell), • Experience with Infrastructure as Code (e.g. Terraform or equivalent), • Familiarity with CI/CD pipelines and DevOps practices, • Experience with configuration management tools (e.g. Ansible or similar) Additional Information • Hybrid working model (onsite presence required), • Competitive compensation based on experience, • Opportunity to take on increased ownership/leadership over time Interested? Apply now or send your updated resume to

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Job Title: Data Scientist Location: Newark, NJ (Hybrid) Duration: 12+ Months (Temp to Hire) • As a Data Scientist, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses., • The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact., • This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do., • This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day:, • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified., • Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring:, • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following:, • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle - from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering - prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job Description We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Ownership-driven with a focus on continuous improvement and operational excellence

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 You'll Do: The Security Production Engineering team at CoreWeave is responsible for building, scaling, and maintaining the secure infrastructure that underpins our AI cloud platform. This team ensures the reliability, performance, and resilience of security systems across a rapidly growing global footprint, enabling safe and efficient operations for enterprise and AI workloads at scale. About the Role: As a Production Engineer, Security at CoreWeave, you will design, build, and operate the systems that keep our platform secure, reliable, and highly performant. You'll work closely with infrastructure and engineering teams to improve system resilience, automate operational processes, and proactively mitigate risks. Your day to day will include developing scalable security infrastructure, enhancing observability, and responding to production incidents while continuously improving system reliability and performance. In this role, you will: • Design, implement, and maintain scalable, highly available security infrastructure using Kubernetes and cloud native technologies, • Build 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 response, conduct root cause analysis, and implement preventative solutions, • Mentor team members and promote best practices in reliability, security engineering, and infrastructure managementWho You Are:, • 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, • Proficiency in automation and scripting languages such as Python, Bash, or Go, • Experience operating and maintaining large scale distributed systems with a focus on reliabilityPreferred:, • Familiarity with observability platforms such as Prometheus, Grafana, or Datadog, • You enjoy solving complex infrastructure and security challenges at scale, • You're curious about improving system reliability, automation, and observability, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best in Class Client Experiences, • Achieve More TogetherWe foster an environment that encourages independent thinking, collaboration, and the development of innovative solutions. You will work alongside some of the best talent in the industry and have opportunities to grow as we continue to scale. We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $190,000 to $282,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer 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 About the Role: We are seeking a highly skilled Java Developer to join our team in the Information and Media Services industry. As a Java Developer, you will be responsible for developing and maintaining high-quality software applications that meet our clients' needs. You will work closely with our team of developers, project managers, and clients to ensure that all projects are completed on time and within budget. Your work will have a direct impact on the success of our company and the satisfaction of our clients. Minimum Qualifications: • Bachelor's degree in Computer Science or a related field, • 3+ years of experience in Java development, • Strong understanding of object-oriented programming principles, • Experience with Spring Framework and Hibernate, • Master's degree in Computer Science or a related field, • Experience with Agile development methodologies, • Experience with front-end development technologies such as HTML, CSS, and JavaScript, • Experience with cloud-based technologies such as AWS or Azure, • Design, develop, and maintain high-quality software applications using Java, • Collaborate with cross-functional teams to identify and prioritize software features, • Write clean, efficient, and well-documented code, • Troubleshoot and debug software issues As a Java Developer, you will utilize your strong understanding of object-oriented programming principles, as well as your experience with Spring Framework and Hibernate, to design, develop, and maintain high-quality software applications. You will also use your experience with SQL and relational databases to troubleshoot and debug software issues. Additionally, your experience with Agile development methodologies and front-end development technologies such as HTML, CSS, and JavaScript will be beneficial in collaborating with cross-functional teams to identify and prioritize software features. Finally, your experience with cloud-based technologies such as AWS or Azure and DevOps practices such as continuous integration and deployment will be valuable in staying up-to-date with emerging trends and technologies in software development.

Job Description Cloud System Admin We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. I1Diud668z

Job Description AWS DevOps Engineer Locals only Min experience should be 10 years We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. Yc2tqWKrFD

Job Description Company Overview: Samsung SDS America (SDSA), the IT and innovation hub of Samsung, delivers innovative cloud, AI, digital logistics, cybersecurity, and enterprise solutions to transform the way businesses work and operate. We serve Fortune 500 companies across industries and are driving digital transformation with cutting-edge technologies and trusted services. Position Summary: Samsung SDS America is looking for a transformative leader to define the future of our cloud ecosystem. As the Senior Director of Managed Cloud Services, you will architect the strategic roadmap for our multi-cloud landscape (AWS, Azure, GCP, and Samsung Cloud Platform), bridging the gap between technical operations and aggressive business growth. This is a high-visibility role for a leader who thrives on complexity. You will unify diverse technical towers—CloudOps, SecOps, DataOps, and DevOps—into a cohesive engine of innovation. Working directly with C-Suite leadership and global stakeholders, you will drive GTM enablement, cultivate hyperscaler alliances, and build a world-class culture of engineering excellence at our Ridgefield Park, NJ headquarters. This is a role for a Builder-Leader — someone deeply experienced in orchestrating technical talent to meet business goals. Responsibilities: Executive Leadership & Strategic Vision • Define and drive a multi-year, future-proof strategy for managed cloud services that anticipates market shifts, capitalizes on innovation, and directly addresses complex client challenges., • Lead the organizational design and evolution of a multi-disciplinary team. Foster a culture of extreme ownership, agility, and continuous innovation that attracts the industry's best talent., • Cultivate high-value, strategic alliances with Hyperscalers (AWS, Azure, GCP), ISVs, and key partners to co-create market-leading value propositions and accelerate go-to-market velocity., • Oversee the end-to-end delivery lifecycle across a hybrid landscape (Samsung Cloud Platform, Data Center, and Public Cloud). Guarantee operational resilience, scalability, and security for mission-critical workloads., • Champion the shift toward next-generation operating models. Drive the adoption of SRE, DevOps, and intelligent automation to reduce toil, increase speed-to-market, and optimize unit economics., • Move beyond basic SLA compliance to deliver measurable business value. Utilize deep observability and transparent reporting to transition from a vendor relationship to a trusted strategic partnership., • Maintain fiscal accountability for the team. Drive financial modeling, forecasting, and resource allocation to maximize profitability without compromising service quality., • Lead the development of competitive pricing models and cost-optimization strategies. Bridge the gap between finance, procurement, and technical teams to ensure commercially viable, high-margin engagements., • Actively recruit, mentor, and retain high-caliber leaders across business development, operations, and architecture. Design clear succession paths and career development frameworks., • Institutionalize learning by building robust internal training programs and knowledge-sharing ecosystems that keep the team at the cutting edge of cloud technology., • Serve as the primary bridge between the US and Korea HQ. Facilitate cross-regional collaboration to leverage global resources while addressing local market nuances. Requirements • Demonstrated ability to build and scale high-performance sales and technical teams from the ground up. Must have extensive experience in full-cycle talent management, including strategic hiring, rigorous performance management (up to and including termination), and creating clear pathways for internal promotion and succession planning., • Proven track record of mentoring senior managers and individual contributors to foster a culture of accountability and continuous improvement. Experience designing training or mentorship programs that upskill staff on emerging cloud technologies and sales methodologies is essential., • 7+ years of experience in identifying, cultivating, and closing complex, net-new cloud service engagements with enterprise clients. Must demonstrate a history of exceeding revenue targets through direct sales and channel partnership strategies., • Deep experience navigating ecosystems with major cloud providers (AWS, Microsoft Azure, Google Cloud). Ability to leverage these partnerships for co-selling opportunities, market expansion, and developing joint go-to-market strategies., • Ability to analyze market trends and competitor landscapes to define compelling value propositions. Must be able to translate technical cloud capabilities into business solutions that resonate with C-level executives., • Deep understanding of the MSP business model, including 24/7 service delivery frameworks, ITIL alignment, and SLA/OLA management. Must have experience bridging the gap between sales promises and operational delivery capabilities., • Experience leading operational excellence initiatives to improve margins and service velocity. This includes identifying inefficiencies in delivery workflows and implementing automation or process re-engineering to optimize resource utilization., • Demonstrated success managing a significant P&L (Profit & Loss) statement for a business unit or division. Must be proficient in financial forecasting, budget allocation, cost control, and margin analysis to ensure sustainable profitability., • Expertise in structuring complex managed service contracts, including pricing models (fixed fee, consumption-based, hybrid) and legal negotiations, ensuring long-term commercial viability and risk mitigation., • Exceptional communication and presentation skills, with the ability to report on business health, operational metrics, and strategic direction to internal executive leadership (SDSK) and external C-Suite., • Bachelor's degree in Computer Science or relevant field is required. MBA is preferred., • Must be eligible to work in the US for any employer without restrictions., • Must be able and willing to work onsite in Ridgefield Park, NJ. Samsung SDSA offers a comprehensive suite of programs to support our employees: • Top-notch medical, dental, vision and prescription coverage, • Wellness program, • Parental leave, • 401K match and savings plan, • Flexible spending accounts, • Life insurance, • Paid Holidays, • Paid Time off, • Additional benefits Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law. We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. 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Job DescriptionCompany Description Job Description Job title: Full Stack .Net AWS Cloud Developer Location: Newark, NJ Job summary: The client is looking for a versatile and pragmatic Full Stack AWS Cloud Developer to architect, build, and maintain scalable cloud/on-prem hybrid applications. They must have a deep understanding of the front-end and back-end aspects of application development. On the front-end, they must be able to design and implement user interfaces using HTML, CSS, and JavaScript. On the back-end, they must be able to work with SQL and NoSQL databases, web services, and other server-side and serverless resources. They must be able to work across the stack—from intuitive front-end interfaces to robust back-end services—leveraging AWS platform to deliver secure, high-performance solutions. Key Responsibilities are: • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Node.js, Python, .NET, JavaScript), • Build and deploy cloud-native services on AWS using Lambda, API Gateway, ECS, S3, DynamoDB, RDS, and more, • Implement CI/CD pipelines using Azure Pipelines, GitHub Actions, • Participate in requirements discussions and transform them into useful applications in line with service goals., • Support, maintain and enhance existing applications and fix issues., • Collaborate with peers to create the most effective solution possible using the .Net framework and Microsoft tech stack., • Take responsibility for identifying and reducing technical debt in existing code structure while boosting application effectiveness and improve performance., • Deliver error-free code that complies with secure coding practices., • Able to provide technical assistance for web, mobile, and desktop applications., • Incorporate data storage systems and preserve code quality., • Ensure application security and scalability, following AWS best practices and Well-Architected Framework, • Collaborate with cross-functional teams including DevOps, UX, and product managers to deliver end-to-end solutions, • Monitor and optimize performance using CloudWatch, X-Ray, and other observability tools, • Document architecture and workflows using Confluence, diagrams, and version-controlled README files, • Hands-on experience with AWS services including Lambda, EC2, S3, IAM, and DynamoDB, • Knowledge of authentication/authorization patterns (OAuth2, Cognito, JWT), • Strong debugging, testing, and performance tuning skills, • Knowledge of frontend frameworks like Next.js, Vue, or Svelte Regards, Hameed Shaikh Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description Location: Ridgefield Park Contract Period : 7 week Pay rate: $8,600/M DOE Lead cross-functional development teams building enterprise-grade distributed systems. Manage the full project lifecycle for microservices, API integrations, and DevOps initiatives. Gather business requirements, translate them into functional specifications, and ensure comprehensive documentation and smooth project handovers. Job Description • Requirements & Business Analysis: Conduct stakeholder interviews and user workshops; create BRDs, FRDs, user stories, and acceptance criteria; manage requirements traceability and obtain sign-offs, • Project Planning & Execution: Develop project plans, WBS, and schedules; manage scope, budget, and resources; coordinate releases across environments, • Team Leadership: Lead Java developers, DevOps engineers, QA, and DBAs; facilitate Agile ceremonies; remove blockers and maintain team velocity, • Stakeholder Communication: Serve as liaison between technical teams and business; deliver executive reports and presentations; manage expectations and escalations, • Documentation: Maintain project documentation, meeting minutes, and decision logs; create process flows, SOPs, and user guides, • Project Handover: Develop handover packages, runbooks, and troubleshooting guides; conduct knowledge transfer sessions; obtain formal acceptance, • Technical Coordination: Oversee microservices, CI/CD pipelines, containerization (Docker/Kubernetes), database migrations, and monitoring implementationsQualifications Experience: • 7+ years project management in software development; 5+ years with enterprise Java/API/distributed systems, • 3+ years Agile/Scrum in DevOps environments; 3+ years business analysis and requirements gathering, • Microservices architecture, RESTful APIs, Spring Boot ecosystem, message brokers (Kafka/RabbitMQ), • CI/CD pipelines (Jenkins/GitLab CI), Docker, Kubernetes, Linux environments, • Exceptional communication, presentation, and facilitation skills for technical and non-technical audiences, • Strong technical writing; proficient in creating BRDs, FRDs, process flows (Visio/Lucidchart/Miro), • BS/BA in Computer Science, IT, or Business Administration, • Previous experience as developer, BA, or technical lead; cloud platforms (AWS, Azure, GCP), • ITIL certification; experience with UAT coordination, change management, and organizational transformation Additional Information All your information will be kept confidential according to EEO guidelines.