... advanced configuration - Deploy and manage Microsoft Intune for endpoint and mobile device management - Design, deploy, and manage solutions on Microsoft Azure and AWS platforms - Troubleshoot complex system, network, and cloud issues; serve as the final escalation point for L1/L2 Write Scope of Work Documents for infrastructure ...
... Linux operating systems and basic command-line concepts. Experience with ServiceNow, Salesforce, ServiceMax, or similar ITSM/ticketing platforms. Exposure to cloud environments such as AWS. Experience supporting remote users or remote-access technologies. Familiarity with Citrix Workspace or similar virtual/remote desktop ...
... high-performance, fault-tolerant microservices . Build and maintain CI/CD pipelines , deployment workflows , and infrastructure-as-code . Manage Kubernetes clusters , cloud infrastructure (AWS/GCP), and container orchestration. Implement monitoring, observability, and security best practices . Collaborate with backend and AI teams ...
... Integration Cloud (OIC) , Visual Builder , and Process Automation . - Proficiency in REST/SOAP , JSON , XML , and XSLT transformations . - Familiarity with Oracle ERP Cloud , SAP Commerce Cloud , or Salesforce integration scenarios. - Knowledge of authentication mechanisms (OAuth, certificates, service accounts). - Experience with ...
DevOps Engineer Job Type: Independent Contractor Location: Remote Compensation: $50–$100/hour ( $104,000–$208,000 annualized , based on 40 hours/week) About the Opportunity We are seeking experienced DevOps Engineers to contribute to a customer project focused on scalable, modern cloud infrastructure. You will apply your ...
... containment, tuning. The other half is engineering and program work: building detection content, automating response, and running security capabilities across cloud, identity, endpoint, and AI governance. You'll work across Engineering, SRE, IT, Cloud, Legal, and Compliance, and you'll own outcomes rather than tickets. Key ...
... event-driven architectures. Developer Experience (DX): Strong focus on optimizing and improving the developer experience for application users and internal engineering teams. Azure/AWS Experience: Significant hands-on experience with AWS or Azure services and cloud architecture, particularly in building scalable, resilient, ...
... Databases, Data Pipelines, Knowledge Graphs Azure, AWS, Kubernetes, Terraform, CI/CD Platforms 10–15+ years in software engineering. - 5+ years in AI/ML or Data Engineering. - 2+ years in Generative AI solutions. - Experience leading enterprise-scale AI implementations. - Experience mentoring engineering teams and influencing ...
... workflows using technologies such as AWS Glue, AWS Lambda, AWS EMR, Talend, or Azure Data Factory. Strong Python development skills, including experience with AWS SDKs such as Boto3. Experience working with cloud platforms and data services, preferably AWS. A solid understanding of data warehousing, distributed data processing, ...
... across the https://jobeax.com/link/Iz0FqSyOgCcbJYCP primary focus will be on reusable data modelling standards, solution architecture patterns, and semantic engineering frameworks that enable self-service analytics, modern data engineering, and Databricks Genie conversational https://jobeax.com/link/80R4u3Mod2ymK61H will ...
Overview: The role is responsible for managing and supporting the operations of Global Network engineering in a hybrid / cloud environment and provides senior-level expertise to the network engineering team. We're looking for an expert in on-premises networking, cloud infrastructure networking (Azure/AWS), and telecommunications ...
... solutions. Maintain clear documentation for all code. Job Requirements: - 3+ years of Python development experience. - Bachelor's/Master's in Computer Science, Engineering, or related field. - Strong Python skills with experience in Pandas, NumPy, SciPy, etc. - Experience with databases (SQL/NoSQL) and cloud platforms (AWS, ...
... Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Indefinite Contract(40 hrs a week/160 hrs a month) (*Spark, Generative AI models, LLM, rag, AWS, Docker, GCP, Kafka, Kubernetes, Machine Learning, Python, SQL We are looking for a Senior Machine Learning Engineer who specializes in deploying ML and AI models ...
... Architecture, System Design, Platform Engineering, reliability, Python, JavaScript, Cloud, AWS, Azure, GCP, API, ERP, Warehouse Management, Logistics, supply chain, 3PL, cloud server, Legacy A reverse-logistics and IT asset disposition is Looking for: We are seeking a highly experienced Staff Software Engineer to serve as a senior ...
DevOps Engineer Job Type: Contractor Location: Remote Openings: 30 Compensation: $50–$100/hr ($104,000–$208,000/year annualized) About the Role As a DevOps Engineer, you’ll apply your expertise in cloud infrastructure, automation, deployment, and platform engineering to contribute to projects focused on training and improving ...
... / API security experience with the ability to ramp fast - Strong networking and security fundamentals — BGP, DNS, IPSec, firewalls, routing - Kubernetes and cloud-native (AWS/Azure/GCP) exposure - You must be based in, or able to relocate immediately to, Bengaluru or Hyderabad, and work from the client office five days ...
... shall consist of two (2) MDM Data Engineers with complementary technical expertise, working under the direction of the onshore data architecture lead. Both engineers shall possess strong Snowflake and Python data engineering experience. At least one (1) engineer shall possess senior-level MDM experience — hands-on match/merge, ...
... with cloud-native and AI-native development practices. Our software is built around AI at its core—LLMs, agents, and retrieval systems—and runs on IaaS (Google Cloud/AWS/etc.), so familiarity with these environments and their managed AI services is a plus. Full ownership of your code will be encouraged, including deployment, ...
... Qualifications - Experience working in fast-paced or startup-like environments. - Experience collaborating with globally distributed teams. - Hands-on experience with cloud-based data platforms and services, including AWS, Google Cloud, or Microsoft Azure. - Familiarity with MLOps, machine learning infrastructure, or data science ...