0 Negotiable or Not Mentioned
USA
64 days ago
metablackllc..com
7 Applied 5 Pro Applied
Meta Black is hiring AWS and Azure Cloud Engineers to facilitate the migration and management of cloud-based infrastructures for our clients. You will be responsible for designing cloud environments, optimizing performance, and ensuring the reliability of cloud services. This role is ideal for consultants who enjoy working with cutting-edge technology and helping organizations scale their digital footprints.
Our organization is dedicated to providing a transparent and supportive environment for our consultants. We provide expert marketing to direct clients and assist with every step of the job search, from resume refinement to final placement. Whether you are on OPT, STEM OPT, or a seasoned H1B holder, our team is equipped to help you succeed in the competitive US tech market.
Key Requirements
Hands-on experience with AWS or Microsoft Azure cloud platforms.
Proficiency in Infrastructure as Code (IaC) using Terraform or CloudFormation.
Knowledge of containerization tools like Docker and Kubernetes.
Experience with cloud migration strategies and architecture design.
Strong understanding of cloud security and compliance standards.
0 Negotiable or Not Mentioned
USA
64 days ago
indusgroupinc.com
8 Applied 6 Pro Applied
We are currently looking for AWS / Azure Cloud Engineers to join Indus Group Inc. This role is ideal for individuals with a deep understanding of cloud infrastructure and the ability to migrate and manage workloads in the cloud. You will play a critical role in designing and maintaining robust cloud environments for our partners throughout the USA.
Indus Group Inc is committed to connecting talented IT professionals with high-impact opportunities. Whether you are an experienced professional or a recent graduate with a focus on cloud technologies, we provide a platform for growth. Our support for visa categories like H4-EAD and L2S ensures a diverse and inclusive workplace.
Key Requirements
Experience with AWS or Azure cloud platforms.
Understanding of Infrastructure as Code (Terraform or CloudFormation).
Knowledge of cloud security best practices.
Experience with virtualization and containerization (Docker).
Familiarity with CI/CD tools and methodologies.
0 Negotiable or Not Mentioned
USA
59 days ago
vvhitsolutions.com
12 Applied 8 Pro Applied
We are looking for a Cloud Engineer to join our job-oriented sessions beginning in May 2026. This role is centered on mastering cloud environments through practical, hands-on experience with Terraform and Infrastructure as Code. You will play a key part in maintaining and optimizing cloud resources for better performance and scalability.
Throughout the engagement, you will focus on AI implementation and data handling within AWS and Azure. The position is designed to offer real-time experience, bridging the gap between theoretical knowledge and professional industry requirements. You will collaborate with senior engineers to build secure and efficient cloud-based solutions.
Key Requirements
Proficiency in Amazon Web Services (AWS) ecosystem.
Hands-on experience with Microsoft Azure cloud platforms.
Strong knowledge of Terraform for Infrastructure as Code (IaC).
Experience in automating cloud deployments and management.
Understanding of Artificial Intelligence integration in cloud apps.
~9,166 Mentioned
United States
67 days ago
send4.uk
11 Applied 8 Pro Applied
We are hiring a Senior DevOps Engineer on a C2C (Corp-to-Corp) basis to support cloud infrastructure, automation, and CI/CD pipeline development. This role is ideal for professionals experienced in cloud platforms, infrastructure as code, and scalable deployment systems, working with global teams. Work setup includes Remote, Hybrid, or Onsite options across California, Texas, and New York. Salary range for the United States is $110,000 – $180,000+ per year or a C2C rate of $70 – $120/hour.
As a Senior DevOps Engineer, you will design and manage scalable cloud infrastructure on AWS, Azure, or GCP and build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI. You will be responsible for automating infrastructure with Terraform or Ansible, monitoring system performance with tools like Prometheus, and implementing security best practices. This is a 6–12 month contract with a high chance of extension.
Key Requirements
5+ years of experience in DevOps / Cloud Engineering
Strong experience with AWS, Azure, or Google Cloud platforms
Hands-on expertise with Docker and Kubernetes orchestration
Proven experience with Infrastructure as Code using Terraform
Strong scripting skills in Python and Bash
~12,500 Mentioned
USA
61 days ago
gmail.com
9 Applied 6 Pro Applied
We are actively hiring a Cloud Engineer for a high-impact international role. In this position, you will be responsible for designing and managing secure, scalable cloud infrastructure across multiple platforms including AWS, Azure, and GCP. You will work on enterprise-level systems used globally, focusing on optimizing performance, cost-efficiency, and system reliability. This role offers a premium salary ranging from $150,000 to $260,000+ per year based on experience and location.
The ideal candidate will collaborate with global DevOps and engineering teams to implement Infrastructure as Code and ensure that cloud security and compliance standards are met. This opportunity includes visa sponsorship and relocation support for international candidates looking to fast-track their careers. You will utilize a modern tech stack involving Terraform, Kubernetes, Docker, and Python to drive innovation in high-scale cloud environments.
Key Requirements
3–7+ years experience in Cloud Engineering or DevOps roles
Strong expertise in architecting and deploying scalable cloud infrastructure
Proficiency with cloud platforms such as AWS, Azure, or Google Cloud Platform
Hands-on experience with Infrastructure as Code tools like Terraform and CloudFormation
In-depth knowledge of containerization technologies like Docker and Kubernetes
0 Negotiable or Not Mentioned
USA
61 days ago
techleanit.com
14 Applied 10 Pro Applied
We are looking for DevOps Engineers who are ready to take the next step in their careers within the USA market. Specifically catering to professionals on H1B Transfer or H4EAD, Techlean IT offers extensive W2 marketing support to place you with industry-leading clients. Our internal support structure is designed to handle the complexities of visa transfers while focusing on your professional placement and interview readiness.
You will be involved in automating and streamlining operations and processes, building and maintaining tools for deployment, monitoring, and operations. The role requires a blend of technical skills and collaboration to troubleshoot and resolve issues in dev, test, and production environments. Our recruiters provide dedicated assistance to ensure you are matched with the best possible opportunities across the USA that align with your DevOps expertise.
Key Requirements
Valid H1B Transfer or H4EAD visa status.
Strong experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
Proficiency in containerization using Docker and orchestration with Kubernetes.
Infrastructure as Code (IaC) experience using Terraform or CloudFormation.
Solid understanding of cloud providers, particularly AWS, Azure, or GCP.
0 Negotiable or Not Mentioned
United States, Remote
56 days ago
viridiantechinc.com
6 Applied 4 Pro Applied
The Principal AI Data Architect role involves architecting and owning an enterprise-grade AI-ready data platform, serving as the single source of truth for the organization. The successful candidate will design sophisticated lakehouse and data mesh architectures specifically tailored for AI workloads, while building robust real-time and batch pipelines using technologies like Kafka, Spark, and Databricks. You will be responsible for developing semantic models, knowledge graphs, and feature stores to support advanced data needs.
Additionally, this position requires designing RAG (Retrieval-Augmented Generation) systems, vector search, and retrieval infrastructure. You will implement ML/LLMOps pipelines utilizing MLflow, CI/CD, and monitoring tools to enable data for AI consumers such as agents, chatbots, and ML models. A critical part of the role includes enforcing data governance, RBAC, and compliance standards like SOX and GDPR. Candidates must be based in the United States and willing to work in the PST time zone.
Key Requirements
At least 15+ years of professional experience in data architecture.
Expertise in Databricks, Delta Lake, and PySpark for data processing.
Proficiency in Kafka for real-time and batch pipeline development.
Proven experience with Data Lakehouse and Data Mesh architectures.
Strong understanding of ML/LLMOps pipelines using MLflow and CI/CD.
0 Negotiable or Not Mentioned
United States, Remote
56 days ago
viridiantechinc.com
12 Applied 8 Pro Applied
The Principal AI Data Architect role is a senior-level position dedicated to architecting and owning enterprise AI-ready data platforms as a single source of truth. The successful candidate will design innovative lakehouse and data mesh architectures specifically optimized for AI workloads, ensuring the efficient flow of information through real-time and batch pipelines using technologies such as Kafka, Spark, and Databricks. You will also be responsible for developing semantic models, knowledge graphs, and feature stores that empower AI consumers including agents, chatbots, and ML models.
In addition to technical architecture, this role involves a strong emphasis on data governance, security, and compliance with frameworks like SOX, GDPR, and SOC2. You will implement robust ML/LLMOps pipelines utilizing MLflow and CI/CD practices while building AI observability and evaluation frameworks. By defining data contracts and architectural standards, you will ensure that the infrastructure supports large-scale RAG, vector search, and retrieval systems effectively within a PST time zone working environment.
Key Requirements
Minimum of 15 years of experience in data architecture or related fields
Advanced proficiency in Databricks, Delta Lake, and PySpark
Expertise in building real-time and batch pipelines using Kafka and Spark
Proven experience designing Data Lakehouse and Data Mesh architectures
In-depth knowledge of ML/LLMOps pipelines including MLflow and CI/CD
0 Negotiable or Not Mentioned
USA
61 days ago
techleanit.com
12 Applied 8 Pro Applied
This role is designed for Data Engineering professionals looking for W2 marketing opportunities with top clients throughout the USA. Techlean IT provides a supportive environment for those on H1B Transfer or H4EAD, focusing on placing experts in high-impact data projects. Our placement services include specialized resume marketing and interview coaching to help you secure positions that match your technical expertise and career goals.
As a Data Engineer within our network, you will work on building and optimizing data pipelines and architectures. You will have the opportunity to leverage modern data tools and cloud platforms while working for prestigious clients. We offer long-term career support and a dedicated recruitment team to assist you in every step of the marketing and hiring process, ensuring a stable and rewarding career path in the United States.
Key Requirements
Valid H1B Transfer or H4EAD visa status.
Extensive experience with Python or Scala for data processing.
Proficiency in writing complex SQL queries and performance tuning.
Hands-on experience with ETL/ELT toolsets and data modeling.
Knowledge of Big Data technologies such as Spark, Hadoop, or Kafka.
0 Negotiable or Not Mentioned
United States, Remote
56 days ago
viridiantechinc.com
7 Applied 5 Pro Applied
As a Principal AI Architect, you will take the lead in designing comprehensive end-to-end AI systems, including RAG and multi-agent architectures. This role requires a hands-on approach to building and deploying production-grade AI/LLM applications, developing scalable APIs and AI services using Python and FastAPI. You will be tasked with optimizing LLM performance regarding latency, cost, and hallucination reduction, ensuring that the organization stays at the forefront of AI innovation by evaluating and adopting the latest tools, frameworks, and models.
Beyond technical execution, the Principal AI Architect provides critical technical leadership and architecture reviews across the full AI lifecycle. You will collaborate closely with cross-functional teams to deliver high-quality solutions while establishing engineering standards and reusable components. The role also encompasses a governance mandate, ensuring that all AI systems are monitored for compliance and performance standards. Candidates must be comfortable working in a remote capacity within the United States and adhering to the PST time zone.
Key Requirements
Minimum of 12 years of professional experience in software or AI architecture
Deep expertise in Large Language Models (LLMs) and RAG systems
Proficiency with Agentic AI frameworks such as LangChain and LangGraph
Strong background in Python, SQL, and FastAPI for API development
Extensive experience with Vector Databases like FAISS and Pinecone