~9,166 Mentioned
United States
67 days ago
send4.uk
9 Applied 6 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
8 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
5 Applied 4 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
USA
64 days ago
indusgroupinc.com
14 Applied 10 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
United States, Remote
56 days ago
viridiantechinc.com
9 Applied 6 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
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
64 days ago
indusgroupinc.com
13 Applied 9 Pro Applied
Indus Group Inc is seeking DevOps Engineers to streamline our software delivery processes. The role focuses on bridging the gap between development and operations teams by automating workflows and managing infrastructure. You will work on enhancing the efficiency of our deployment pipelines and ensuring system reliability across various platforms in the USA.
As part of our recruitment drive, we are looking for candidates who are proficient in modern DevOps tools and practices. We support a wide range of visa categories, facilitating a smooth transition for international talent. Join Indus Group Inc to work on cutting-edge technology and advance your career in a supportive professional environment.
Key Requirements
Experience in automating software deployment pipelines.
Proficiency with Jenkins, GitLab CI, or similar tools.
Strong knowledge of Linux/Unix administration.
Experience managing containerized applications with Kubernetes.
Familiarity with scripting languages such as Python or Shell.
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
USA
64 days ago
metablackllc..com
8 Applied 6 Pro Applied
We are seeking a DevOps Engineer to bridge the gap between development and operations teams, automating workflows and enhancing the deployment pipeline. The role involves managing CI/CD tools, monitoring system performance, and ensuring infrastructure reliability across various projects. You will work within a collaborative consultancy environment to deliver high-quality software solutions efficiently.
Meta Black offers a comprehensive placement program that includes targeted marketing to prime vendors and direct clients. Our team is committed to placing motivated employees on projects as quickly as possible, offering competitive W2 compensation. We are an E-Verified organization that welcomes applicants from diverse backgrounds, including those on OPT, H1B, and other work-authorized visas.
Key Requirements
Strong experience with CI/CD tools like Jenkins, GitLab CI, or CircleCI.
Proficiency in containerization and orchestration using Docker and Kubernetes.
Experience with configuration management tools such as Ansible, Chef, or Puppet.
Knowledge of scripting languages like Python, Bash, or Ruby.
Understanding of cloud platforms like AWS, Azure, or GCP.
0 Negotiable or Not Mentioned
United States, Remote
56 days ago
viridiantechinc.com
8 Applied 6 Pro Applied
The Principal AI Architect is responsible for designing end-to-end AI systems, focusing on RAG and multi-agent architectures to drive innovation. In this role, you will build and deploy production-grade AI and LLM applications, developing high-performance APIs and AI services using Python and FastAPI. The candidate will be expected to optimize LLM performance regarding latency, cost, and hallucination reduction, leading hands-on implementation across the entire AI lifecycle.
As a technical leader, you will evaluate and adopt the latest AI tools and frameworks while establishing engineering standards for the team. Collaboration with cross-functional teams is essential for delivery success. You will also oversee AI governance, monitoring, and compliance to ensure system integrity. This is a remote role requiring the candidate to be based in the United States and available to work during PST business hours.
Key Requirements
Minimum of 12+ years of experience in AI or software engineering.
Extensive experience with LLMs, RAG, and Agentic AI frameworks.
Proficiency in LangChain, LangGraph, and LlamaIndex for AI application development.
Advanced programming skills in Python and SQL.
Strong experience in API development and distributed systems using FastAPI.