... tools and technologies: Azure Cloud, Ansible, Terraform scripting At least 4 years of hands-on experience with deploying, managing, and upgrading Kubernetes Cloud Infrastructure: In-depth experience with Azure is mandatory (AWS, GCP is a plus). Familiarity with cloud services like EC2, S3, Lambda, RDS, Kubernetes, VPC, ...
... AI-assisted development and want to help shape the future of AI-enabled platform engineering. What makes you a strong fit - 5+ years of experience in DevOps, cloud, platform, or infrastructure engineering - Strong experience with AWS, infrastructure as code, and cloud automation - Expertise in Kubernetes, Linux, Git, and ...
... manipulation and analysis using Pandas, NumPy, and database integrations. - Knowledge of API integrations, multithreading, and structured programming . - Experience with AWS AI/ML services and cloud-native application deployment. - Familiarity with GitHub , CI/CD , and software development best practices. - Excellent problem-solving, ...
... them transform their businesses with technology. We provide 24/7 support and incident response as well as ongoing sprint-based development across AI, data, and cloud technologies including Google Cloud, AWS, Azure, and others. Through award-winning guidance, development, and support, we help clients turn their cloud strategy ...
... containerization and orchestration tools such as Docker and Kubernetes. • Experience with AWS services such as Lambda, API Gateway, ECS, EKS, RDS, DynamoDB, S3, CloudWatch, IAM, and Secrets Manager. • Familiarity with infrastructure-as-code tools such as Terraform, AWS CloudFormation, or AWS CDK. • Experience in financial ...
... of data warehouse concepts and technologies Experience with containerization (Docker, Kubernetes) Understanding of data modeling principles and best practices Cloud & Platform Experience Experience with at least one major cloud platform (AWS, Azure, or GCP) Familiarity with cloud-native data services: Data lakes, data warehouses, ...
... database migration tools such as Flyway or Liquibase ; - Practical experience with Redis or message/event systems; - Experience deploying and operating services on AWS or another cloud provider; - Ability to write automated backend tests (unit and integration); - Hands-on experience with AI coding tools; - Professional experience ...
... or Java Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains. Experience with AWS Cloud. Experience with building, deploying, and managing docker images. We collaborate internationally to deliver services and solutions that help everyone be ...
... problems in Public Clouds (AWS, Azure, GCP) and Private Cloud environment and improves Operational Excellence. - Strong ability to dive deep to understand current cloud infra and systems architecture to provide strategic partnership and improvements on network usage, role management, CDN, domains and cloud infra security. - ...
... of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP) Bachelors degree in Computer Science, MIS, or related fields. - 6-7 years of relevant analytical experience, translating strategic vision into ...
... specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly ...
... of modern data platforms, including Databricks.- Strong cloud architecture experience across AWS, Azure, and/or GCP.- Hands-on experience with Kubernetes and cloud-native technologies.- Strong programming experience in one or more of Python, Java, or Go.- Strong understanding of Cloud and DevOps practices.- Proven ability ...
... Infrastructure & Deployment : Work with data engineering teams to design scalable data models and robust, automated ML pipelines using MLOps best practices and cloud services (AWS/GCP/Azure).- Performance Monitoring : Implement monitoring frameworks to track and enhance the performance of deployed https://jobeax.com/link/1WbmlmCgbnFpHH5X ...
... Kafka, Airflow, cloud-native services, and modern data engineering frameworks. - Experience designing, building, and operating enterprise-scale data platforms on AWS, including data lake, data warehouse, orchestration, streaming, and analytics services. - Experience with AWS technologies such as S3, Redshift, Glue, Lambda, ...
... infrastructure aligning with organizational goals and industry best practices. Job Responsibilities: - Design, deploy, and manage scalable infrastructure across cloud and hybrid environments (AWS, Azure, GCP, Yotta). - Implement and maintain continuous integration and delivery (CI/CD) pipelines. - Manage containerization and ...
... CI/CD) and Infrastructure as code is essential.- Experience in developing NO SQL solutions using Azure Cosmos DB is essential.- Thorough understanding of Azure and AWS Cloud Infrastructure offerings.- Working knowledge of Python is desirable.- Designing and implementing scalable and secure data processing pipelines using Azure ...
... Scikit-learn / TensorFlow / PyTorch. Hands-on experience with Microsoft Excel and PowerPoint is needed Working knowledge of Gen AI would be an added advantage. Strong experience of developing AI & Machine Learning solutions on cloud platforms like AWS Familiarity with data platform like SnowFlake would be an added advantage.