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Our Client which is a large Payroll Firm is urgently looking for Sr. Full Stack Python Developer Sr. Full Stack Python Developer Location: Roseland, NJ Long Term Contract. Hybrid - 3 days at office Sr. FS Python – Python, Fast API, React, Django, Flask, Java Script, AWS. AI-ML Face to Face Interview is required. We are seeking an experienced Senior/Lead Software Developer to join our team and drive technical excellence across our full stack applications. This role requires a versatile engineer with minimum 5 to 6 years of experience who can architect solutions, mentor team members, and deliver high quality software across multiple technology stacks. About the Role This position offers the opportunity to work on challenging problems at the intersection of traditional software engineering and modern AI capabilities. You'll be instrumental in shaping our technical direction while building products that leverage the latest cloud and AI technologies. Required Technical Skills Backend Development Python: Advanced proficiency in Python development, including frameworks like Flask/FastAPI/Django Apache Airflow: Experience building and managing data pipelines and workflow orchestration API Design: RESTful APIs, GraphQL, microservices architecture Database: SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis) Frontend Development React: Advanced React.js development with modern hooks, state management (Redux/Context API) JavaScript/TypeScript: Strong ES6+ and TypeScript skills UI/UX: Responsive design, component libraries, modern CSS frameworks Cloud & AI AWS: Hands on experience with core AWS services: Compute: EC2, Lambda, ECS/EKS Storage: S3, RDS, DynamoDB Integration: API Gateway, EventBridge, SQS/SNS AI/ML Integration: Experience integrating AI models, LLMs, or ML services into applications Infrastructure as Code: CloudFormation, Terraform, or CDK Development • Build robust backend services using Python., • Develop responsive, user-friendly frontend applications with React, • Implement and maintain data pipelines using Apache Airflow, • Integrate AI/ML capabilities into applications - Nice to Have, • Deploy and manage applications on AWS infrastructure, • Write comprehensive unit, integration, and end-to-end tests Mentorship & Collaboration • Mentor junior and mid-level developers, • Collaborate with product managers, designers, and stakeholders, • Participate in agile ceremonies and sprint planning, • Document technical designs and system architecture, • Share knowledge through tech talks and documentation Qualifications Required • Lead professional software development experience, • Strong proficiency in Python and at least one other backend language (Java/.NET), • Proven experience with React and modern frontend development, • Hands on AWS cloud experience, • Experience with Airflow or similar workflow orchestration tools, • Understanding of AI/ML concepts and integration patterns, • Strong problem-solving and debugging skills, • Excellent communication and collaboration abilities, • Bachelor's degree in computer science or equivalent experience Preferred • Experience with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), • Knowledge of containerization (Docker, Kubernetes), • Experience with monitoring and observability tools (CloudWatch, Datadog, New Relic), • Familiarity with LLM integration (OpenAI, Anthropic Claude, AWS Bedrock), • Agile/Scrum experience

Job Description Company Overview: NRS is a leading provider of transportation & supply chain solutions. As a family-owned and operated company, NRS has delivered smart logistics solutions to numerous Fortune 500 companies spanning over 70 years. Whether it’s NRT, Keystone, Keystone Fresh, or Keystone Capacity, our innovative energy drives us towards new and valuable solutions for our clients, even as we continuously grow and strengthen our network. We are dedicated to creating a culture that empowers the individual and offers our associates the opportunity to apply their unique skill to the challenges facing our clients. In the office, the warehouse, or on the road, it is this commitment to our innovative spirit that unites us in common mission to push boundaries in the logistics industry. Job Overview: This role is responsible for embedding security into every phase of the software development lifecycle (SDLC), strengthening the organization’s security posture, and driving a culture of security-first thinking. The Director will partner with Service Desk, Infrastructure, Security, and Application teams to improve customer experience, reduce risk, and increase operational excellence. The Director must be an effective business partner, with the ability to drive change within the organization towards a culture of process maturity. This role will implement best practices for monitoring, communications, troubleshooting issues, proactively communicating and improving data flow. Job Description: Lead, Manage, and hold Accountable • Support and promote the company values, culture, and HR processes, • Define and execute the organization’s cybersecurity and DevSecOps strategy aligned with business objectives, • Lead, mentor, and grow a high-performing team of security engineers and DevSecOps professionals, • Collaborate with Operations, IT, and leadership to integrate security into all processes, • Establish and track KPIs, metrics, and reporting for security posture and risk management, • Recruit, reward, and recognize employees, • Provide the necessary training opportunities, tools, and resources to ensure team success, • Provide clear direction in weekly team checkpoints, • Manage frequent performance feedback, • Establish a training & adoption plan for process changes across IT and business stakeholders. DevSecOps Integration • Embed security tools and practices into CI/CD pipelines, • Champion “shift-left” security practices, including automated code scanning and testing, • Oversee secure coding standards and developer training programs, • Implement infrastructure-as-code (IaC) security controls and compliance checks, • Establish policies, SOPs, RACI, process maps, SLAs/OLAs, and controls., • Define and manage the KPIs and OKRs process; publish dashboards and monthly service reviews., • Maintain evidence and controls for process compliance and platform access governance. Security Operations and Risk Management • Oversee threat detection, vulnerability management, and incident response programs, • Conduct regular risk assessments and manage remediation efforts, • Ensure compliance with relevant regulations and standards (e.g., SOC 2, ISO 27001, NIST), • Manage third-party/vendor security risk assessments, • Implement automation and AI where applicable to improve consistency and productivity Architecture & Engineering • Design and enforce secure system architectures across cloud and on-prem environments, • Evaluate and implement security tools (e.g., SAST, DAST, container security, SIEM), • Partner with cloud and platform teams to secure modern architectures (e.g., microservices, Kubernetes) Incident Response & Governance • Lead incident response planning, tabletop exercises, and post-incident reviews, • Develop and maintain security policies, standards, and procedures, • Report on security risks and initiatives to executive leadership Requirements: • Bachelor’s degree in Computer Science, Cybersecurity, or related field experience, • 8–12+ years of experience in cybersecurity, with at least 3–5 years in a leadership role, • Strong experience implementing DevSecOps practices in modern engineering environments, • Deep understanding of cloud security (AWS or Azure), • Experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI), • Knowledge of security frameworks (NIST, ISO 27001, CIS Benchmarks), • Proven track record managing security incidents and risk programs, • Excellent stakeholder management, facilitation, and communication skills., • Strong problem-solving skills and attention to detail., • Strong business acumen and ability to adapt to change., • Knowledge of Logistics or 3PL business a bonus., • Willingness to travel 10% of the time., • Industry certifications such as CISSP, CISM, or CSSLP preferred, • Experience with containerization and orchestration (Docker, Kubernetes) preferred, • Familiarity with zero-trust architecture principles preferred, • Experience in regulated industries (finance, healthcare, etc. preferred Physical Demands: • This position may require travel to various company locations on the East and West Coast., • Extended Sitting: Primarily desk-based with prolonged computer use., • Computer Use: Frequent operation of computers and office equipment, requiring manual dexterity., • Eye Strain and Repetitive Motion: Risk from continuous screen use and repetitive tasks like typing., • Office Navigation: Light walking and standing for meetings and tasks within the office., • Light Lifting: Occasional handling of objects up to 20 pounds. EEO Statement: NRS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #NRSIND

Job DescriptionCompany Description For More Open Positions Visit us at: http://recruiting.woongjininc.com/ Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership. Benefits • Medical Insurance, • Vision Insurance, • Dental Insurance, • 401(k), • Paid Sick hoursJob Description, • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practicesQualifications Required Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors What Success Looks Like • Deliver production-ready GenAI features that improve user experience and business outcomes, • Build reliable and scalable AI systems with strong quality, latency, and cost performance, • Establish best practices for evaluation, observability, and responsible AI development, • Help define the company’s long-term Generative AI architecture and roadma Additional Information All your information will be kept confidential according to EEO guidelines. * NO C2C *

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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 Other Details about the Job • 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., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR Yc2tqWKrFD

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are looking for an Application Site Reliability Engineer (SRE) with strong DevOps experience to improve the reliability, scalability, and performance of our applications. The Application Site Reliability Engineer will serve as a technical contact responsible for driving the reliability, performance, and operational maturity of our application ecosystem. This role works across multiple teams to support scalable systems, establish reliability standards, improve observability, and implement automation that reduces operational effort. The SRE will lead complex incident responses, work with engineering teams in best practices, and influence architectural decisions to ensure resilient, high-quality software delivery. You will help define reliability standards, reduce operational toil, and ensure smooth production operations while enabling faster and safer releases. Essential Duties & Responsibilities: • Own application reliability, availability, performance, and scalability in production and non-production environments, • Design, build, and maintain CI/CD pipelines for application deployments, • Automate infrastructure provisioning and configuration using Infrastructure as Code, • Monitor application health using metrics, logs, and traces; define SLIs, SLOs, and error budgets, • Lead incident response, root-cause analysis (RCA), ensuring corrective and preventive actions are completed and communicated., • Improve system resilience through capacity planning, system tuning, and fault tolerance, • Partner with development teams to ensure services meet reliability, performance, and scalability objectives., • Reduce manual operational effort through automation and self-healing solutions, • Serve as a point of contact for critical Sev1/Sev2 incidents, leading incident command when required. Qualifications: • Strong experience as an SRE, DevOps Engineer, or Production Support Engineer, • Solid understanding of Windows, Linux/Unix systems and networking fundamentals, • 7 years of experience as an SRE, • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, • Experience with containerization and orchestration tools like Docker and Kubernetes, • Proficiency in CI/CD tools such as Jenkins, GitHub Actions, , or similar, • Experience with Infrastructure as Code tools like Terraform, CloudFormation, or ARM, • Strong scripting skills in Python, Bash, or similar languages, • Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, etc.), • Understanding of reliability concepts such as SLAs, SLOs, and incident management Preferred Qualifications • Experience supporting microservices-based architectures, • Knowledge of security best practices in cloud and DevOps environments, • Experience with configuration management tools (Ansible, Chef, or Puppet), • Exposure to chaos engineering or resilience testing practices Soft Skills • Strong problem-solving and troubleshooting skills, • Ability to work calmly during incidents and high-pressure situations, • Clear communication and collaboration with cross-functional teams, • Ownership mindset with a focus on continuous improvement What We Offer • Opportunity to work on highly available, business-critical applications, • Collaborative engineering culture with strong DevOps and SRE practices, • Competitive compensation and benefits, • Learning and growth opportunities in cloud, automation, and reliability engineering Benefits: ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Parental Leave Our awesome culture includes: • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment, • On site in HQ Free daily lunches Additional information At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit www.ELLKAY.com. ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.

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 troubleshooting skills across pipelines, infrastructure, and applications Nice to Have • Limited exposure to Windows environments Profile • 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 Other Details about the Job • 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., • Compensation for Cloud System Admin will range from $90,000 to $120,000 based on experience, if your experience falls outside required ranges compensation may be based on other open roles. Powered by JazzHR I1Diud668z

Job Description We are looking for a System Engineer with DevOps experience to join our team. The ideal candidate will have 2–3 years of experience in system administration, automation, cloud infrastructure, and deployment support, with hands-on experience in Kubernetes, Python, Helm, and Terraform. Key Responsibilities • Manage and support system infrastructure, servers, and environments., • Build and maintain CI/CD pipelines and deployment automation., • Work with Kubernetes to deploy and manage applications., • Develop automation scripts using Python., • Create and maintain Helm charts for application packaging and deployment., • Use Terraform to provision and manage infrastructure., • Troubleshoot system, application, and deployment issues., • Monitor performance, availability, and reliability of systems., • Collaborate with development, QA, and operations teams. Requirements Required Skills • 2–3 years of experience in system engineering, DevOps, or infrastructure support., • Strong hands-on experience with Kubernetes., • Proficiency in Python scripting., • Experience with Helm and Terraform., • Good knowledge of Linux systems and networking fundamentals., • Familiarity with Docker and cloud environments., • Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps., • Strong analytical and troubleshooting skills. Preferred Skills • Exposure to Azure, AWS or GCP., • Experience with monitoring tools like Prometheus, Grafana, Datadog, or ELK., • Understanding of infrastructure automation, containerization, and release management. Knowledge of security and access management best practices. Benefits • Comprehensive health coverage, including dental and vision, • 401(k) retirement plan, • Eligibility for annual performance bonuses

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies.As a digital transformation partner to more than 700+ clients,

What We're Looking ForProfessional experience in CI / CD pipelinesCloud infrastructure (AWS / GCP / Azure)Containerization & orchestration (Docker / Kubernetes)Strong communication skillsAbility to work independently in a remote environmentHow It WorksThis is not a specific job posting.

Micro1 is seeking a Software Developer for a remote contract role.The position requires designing, developing, and delivering robust applications using modern programming languages and full-stack technologies.Ideal candidates should have 3+ years of experience in software development, be strong comm

Are you a collaborative Java Spring Software Engineer looking to work for a mission driven global organization?.As a Software Developer are you looking build a new Identity and Access Management platform that will touch all of our products?.This FTE will ensure ongoing expertise in authentication an

About Mercor’s talent network This is an open application for future contract opportunities that match your background and interests.Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available.We match experts to opportunities on

They are looking for an experienced Backend Developer with expertise in C#, Microservices architecture, and containerization technologies such as Kubernetes and Docker. Practical knowledge of containerization and orchestration technologies, specifically Docker and Kubernetes, for deploying and manag

What we're looking for: - Professional experience in CI/CD pipelines, cloud infrastructure (AWS/GCP/Azure), containerization & orchestration (Docker/Kubernetes) - Strong communication skills - Ability to work independently in a remote environment How it works: This is not a specific job postin

Expert in Docker and Kubernetes for containerizing and orchestrating microservices deployments.

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo

DoorDash is the #1 category leader in food delivery, food pickup, and convenience store delivery in the US, trusted by millions of customers every day.As a Dasher, you’ll stay busy with a variety of earnings opportunities and can work when it works for you.Being a Dasher with DoorDash gives yo