... recommendations - Strong working experience on Kubernetes, Docker, Linux and cloud services integrations. - 100% accountable for the reliable, scalable and optimized cloud architecture, design and platform services. - Serve as Cloud Engineering for Cloud infrastructure Architecture, Design and Deployment and maintenance for highly ...
Job Summary:We are looking for an experienced Senior MuleSoft Developer with strong hands-on expertise in MuleSoft Anypoint Platform, API-led connectivity, API development, microservices, and enterprise https://jobeax.com/link/xMw4R8Q8oDcJkf6d ideal candidate should have experience designing, developing, testing, deploying, ...
... with security, architecture, and risk teams to ensure compliance with financial services requirements Required Qualifications 5+ years of experience building cloud platforms on AWS Hands‑on experience with Amazon Bedrock, EKS/Kubernetes, AWS Lambda, and core AWS networking Strong Python development experience for APIs, ...
... https://jobeax.com/link/stwx82pHJR527Z18 Experience:- Hands-on operations experience in at least one major cloud platform, preferably AWS or Azure.- Strong understanding of IAM, compute, storage, cloud networking, backup, monitoring and cost tagging to support and troubleshoot production workloads.- Exposure to a second cloud platform is https://jobeax.com/link/gfia8Ws8Tvhsktv1 ...
... Service Cloud, Apex, and Lightning Web Components (LWC). You will be responsible for developing and implementing customized solutions within the Salesforce platform to support critical business functions and meet project objectives, client requirements, and company goals. Skills: Salesforce Service Cloud Expertise: Deep ...
As a Principal DevOps Engineer focused on Site Reliability within Cloud Delivery Engineering (CDE), you will contribute to the development of our solution delivery platforms supporting our web-based applications on the latest cloud technologies within a DevSecOps culture. You will have the opportunity to utilize automation ...
... Source Flink Experience with Event-Driven architecture, Data Integration & Processing Techniques, Database & Data Warehouse technologies First-Hand exposure to Cloud Architecture, Migrations, Deployment & Application Development Experience with Automation, GitOps and Kubernetes Proficiency in Java, Python or SQL Technical ...
... clients and senior stakeholders to understand business challenges, define AI opportunities, and shape suitable technology solutions.- Lead the design of GCP / Cloud-based AI solutions and enterprise AI platforms.- Provide technical direction across AI/ML, GenAI, data, cloud, and software engineering teams.- Oversee end-to-end ...
... initiatives with a focus on third-party integrations (e.g., Salesforce, Spotdraft and other third-party applications), SAP BTP-based integration patterns, and cloud data platforms (e.g., Azure Data Lake). The role is responsible for maintaining project controls (project plan, Gantt chart, reporting, and documentation), enabling ...
... driving technical initiatives. Experience designing and deploying Generative AI, LLM, and RAG-based applications. Experience with cloud platforms such as Google Cloud Platform (GCP), Vertex AI, AWS, or Azure. Experience with distributed computing technologies such as Apache Spark. Prior experience working within Google or ...
... developer velocity. Lead the Platform Engineering (Developer productivity) team, setting up the vision and execution roadmap. Design and build internal tools/platforms that optimize CI/CD, testing frameworks, and infrastructure automation. Drive adoption of cloud-native solutions (Kubernetes, AWS, ephemeral environments, ...
... helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of ...
... Cloud, including data ingestion, unification, data modeling, and activation concepts.- Strong expertise in Salesforce Integration Services, REST/SOAP APIs, platform events, and integration architecture.- Strong development knowledge of Salesforce Apex.- Strong experience building Lightning Web Components (LWC).- Experience ...
... to create scalable boundaries between models and production pricing systems. Clarify service, API, configuration, and ownership boundaries across multiple platform teams. Evaluate runtime and language choices, including Python, Kotlin, Rust, and Go. Prioritize technical debt and platform investments based on business value, ...
...remotely. 14. Available to work during Pacific Standard Time (PST) hours for campaign management, reporting, meetings, and urgent optimizations. Salary Probation: Duration: Salary during probation: After probation: Annual CTC: ₹ 5...
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Device Management Engineer – Cloud Services based in India. This is a hands-on endpoint management role focused on keeping Windows device fleets secure, healthy, and operational across demanding ...
... implementing, and maintaining scalable, automated, and cloud-native infrastructure solutions. Key Responsibilities: - 5+ years of hands-on experience in DevOps or Cloud Engineering roles. - Strong expertise in at least one public cloud provider (AWS / Azure / GCP). - Proficiency in Infrastructure as Code (IaC) tools (Terraform, ...
... datacentres. SAP has established strategic partnerships with the major cloud infrastructure providers, including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), to offer customers maximum choice for their SAP private cloud deployment. Within the Customer Services & Delivery (CS&D) Board area, the ...
... frameworks (e.g., Deep understanding of machine learning algorithms, statistical modeling, data structures and distributed systems - Experience working with cloud AI platforms and services (e.g., AWS SageMaker, Google AI Platform, Azure ML) - Familiarity with MLops including model versioning, reproducibility, and monitoring ...