AWS, Microsoft Azure, Google Cloud Platform) Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.

Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.

We are seeking a Lead Software Engineer to spearhead our expansion into AI and ML technologies space, with a special focus on Generative AI. This pivotal role involves developing innovative Generative AI solutions that generate dynamic content, automate decision-making, anomaly detection, and provide predictive analytics,and transforming how businesses interact with data.

The Cloud Engineer will play a pivotal role in driving our cloud initiatives, ensuring the reliability, security, and efficiency of our cloud environments. Experience you'll bring A minimum of 5+ years of hands-on experience in designing, implementing, and managing cloud infrastructure on Azure and AWS platforms.

As we continue to grow, we need an outstanding Senior Site Reliability Engineer to travel on our journey together. Participate in on-call rotation with other members of Site Reliability Engineering team.

Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.

Lead the Cloud Security Infrastructure Design and Architecture on client engagements. Direct experience designing and developing cloud-native solutions on Azure. Assist clients with transitions to the Cloud from existing on-premises environments.

This role is crucial to our transition to a cloud-based infrastructure, with a particular focus on AWS-based data engineering solutions. Cloud Migration: Oversee the migration of existing data engineering processes to the AWS cloud platform, ensuring a seamless transition while minimizing downtime and maintaining data integrity.

Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.

We are seeking Business System Analyst (BSA) professionals with experience in Oracle ERP, SCM, HCM, and EPM Fusion Cloud to join our IT Enterprise Systems team. Job Title: Oracle ERP, SCM. HCM & EPM Fusion Cloud Analyst.

Extensive experience (7+ years) in information security and/or IT risk management with a focus on security, performance, and reliability. Working for SMU supports more than higher education, we're on the mission of raising up the next generation of World Changers, helping them creating a better future for themselves, their families, and society at large.

Implementing Coding Standards using tools such as Sonar and Jocaco; using Azure Cloud & Google Cloud in deploying the application on different servers and maintaining the application to its standards for the users; and experience with project life-cycle, including analysis, design, development, implementation, support and enhancement.

Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc) As a Sr. Data Scientist, reporting into the Head of Data & Strategy at TRKKN North America (NA), you’ll focus on building scalable machine learning and AI products to help evaluate and optimize the business impact of our clients’ marketing investment.

LocationThe Quality Assurance Manager position is onsite in our Dallas, TX plant with hybrid schedule (3 day on site/2 days WFH) following successful on boarding period. Awareness of quality principles and tools such as quality engineering, reliability engineering, Design of Experiments (DoE), management of change (MOC), document control systems, quality codes and standards.

Administer cloud-based Azure Devops ServicesGuide and mentor team members on DevOps best practices and standards. Guide internal application teams on standards and best practices to streamline their development processes in the evolving DevOps/Cloud technologies.