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The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscalers (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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AWS Stack – S3, Glue, EMR, Redshift, DynamoDB, Kinesis, Lambda, Athena etc. Data Analytics – AWS Cloud Native Services. Cloud-native and agnostic designs and architectures across AWS and Azure.
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Familiarity with the relevant Cloud native tools that accelerate analytic development ex), AWS SageMaker, AWS RedShift, AWS Fargate, Google Cloud BigQuery, Google Cloud Vertex AI, Google Cloud Cloud Run, etc.
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Your responsibilities will require experience in multiple databases (e.g. DB2, IMS, VSAM) and languages (e.g. Java, C#, COBOL, SQL, JCL) plus cloud platforms such as AWS, Azure or GCP. Cloud platforms: You need certification in at least one cloud platform such as Azure, AWS, GCP.
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Required Ability to communicate effectively at all job levels, use excellent evaluation skills, and ability to relay information in legible reports as required Required 5 Years Experience with AWS cloud services API Gateway, CloudFront, SNS, SQS, DynamoDB, Cloudwatch, ElastiCache Required 5 Years Experience with Cloud technologies & SaaS applications running on Cloud Highly desired Strong experience with Cloud migrations/DevSecOps and implementations.
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Required Education High School diploma or GED. Preferred Certifications ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, etc. Encourage participation in internal and external training programs and certification opportunities provided by organizations such as ACI, ASNT, AWS, ICC, NICET, NRCA, RCI, various State DOTs, WACEL, and others, as appropriate.
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Deep familiarity with cloud computing platforms like AWS, Azure, and GCP, and their respective data science ecosystems (e.g., AWS SageMaker, Azure Machine Learning, GCP AI Platform). Qualifications Job Qualifications: • Expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
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Build automation to actively audit the infrastructure for security misconfigurations by using cloud-native policies/scripts using cloud services like Azure policy, AWS SCP(service control policy.
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American Welding Society (AWS) Certified Associate Welding Inspector (CAWI) ICC certification in one or more of the following categories: Reinforced Concrete, Spray-applied Fireproofing, Structural Masonry, Prestressed/Post-Tensioned Concrete, Structural Steel – Bolting, Structural Steel – Welding.
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Experience with Azure and AWS cloud services such as AWS EC2, Azure VM, VPC, Vnet, Network Security Groups, DBs, and Cloud storage. Ability to design and implement secrets management solutions in cloud environments, including hands–on experience in building out systems utilizing tools such as AWS Secrets Manager or Azure Key Vault.
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Prefer CISSP-ISAAP, SABSA, TOGAF.Industry recognized certifications demonstrating security expertise: Prefer CISSP, CCSP, CRISC, SANS/GIAC, Azure security, AWS security. The ideal candidate will have a proven history of offering technical security consultation and architectural advice on cloud security (Azure/AWS), identity and access management (IAM), privileged access management (PAM), Active Directory, data protection, logging, and other cybersecurity capabilities.
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5+ years of experience with AWS Cloud (IAM, EC2, ELB, RDS, S3, LAMBDA, API Gateway, CloudFront, SNS, SQS, DynamoDB, Cloudwatch, ElastiCache) Experience with AWS cloud (IAM, EC2, ELB, RDS, S3, LAMBDA) Required 5 Years.
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CISSP / CISA / CCSP / Any security specialty certification on one of the leading cloud platforms (AWS/Azure/GCP. CISSP / CISA / CCSP / Any security specialty certification on one of the leading cloud platforms (AWS/Azure/GCP) - Required.
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We are seeking to bring in Cloud Developer who has experience in developing within cloud environments, such as AWS, Google Cloud, or Azure. 1 plus years of experience developing in a cloud environment (AWS, Google Cloud, or Azure.
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If you have these skills and have been part of large enterprise class software product teams, have worked on deployment of services deployed on the popular Cloud platforms like OCI, AWS or Azure then this position is a fit for you.
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aws job Title: devops engineer Company: Epam Systems in Raleigh, NC
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