4 Cloud Identity Jobs

As an experienced Okta Architect, your role will involve managing and supporting a DEVOPS team for a critical identity application. Your deep understanding of software architecture, identity and access management, and quality governance will be crucial for the success of this position. Key Responsibilities: - Manage and Support DEVOPS Team: - Schedule, develop, and prioritize work for the team - Ensure team members are working efficiently and effectively - Integrate Applications: - Integrate Bell applications into BUA (DEV, pre-prod & production) - Follow change management process - Identity Management: - Manage user identities, profiles, and credentials across different cloud platforms - Ensure consistency and security - Access Control: - Implement and manage access control policies and permissions - Grant users appropriate access to resources based on their roles and responsibilities - Security: - Implement and maintain security measures to protect data and resources - Ensure compliance with relevant regulations and industry standards - Troubleshooting and Support: - Troubleshoot and resolve complex IAM issues - Provide technical support for IAM systems Qualifications Required: - Technical Skills: - Okta Administrator, Okta Developer, and Okta Architect experience - Cloud identity experience with intermediate certification - Experience with on-premise Active Directory - Experience with cloud identity provisioning and governance - Experience with non-human identities - Experience: - Experience as an Okta Administrator, Okta Developer, and Okta Architect - Experience on an identity DEVOPS team - Experience managing a DEVOPS team with Agile experience - Certifications: - Cloud Identity Intermediate Certification - Okta Certified Consultant or Okta Certified Architect certification (desirable),

As a SailPoint Architect at our organization, your primary responsibility will be to architect integrations and use cases around SailPoint and upstream/downstream applications. You must possess the ability to articulate workflows, policies, integrations, and guide the implementation team on how to effectively implement SailPoint. Additionally, you will be required to provide guidance on any customizations needed for our organization. For the role of SailPoint Business Analyst, you will be expected to interface with the business stakeholders to gather all necessary information for application onboarding to SailPoint. Effective communication with the business is crucial in setting up templates and processes for collecting app onboarding information. You will also play a key role in planning out the app onboarding process and establishing a pipeline for the implementation team to follow. As a General IAM Architect, you should have a solid understanding and expertise in authentication, authorization, and cloud identity concepts. You will be entrusted with building a visionary roadmap for IAM at our organization. Your role will involve comprehending the ecosystem at our organization and devising a creative vision for integrating applications with IAM to ensure long-term compliance needs are met. If you believe you possess the necessary skills and experience for any of the aforementioned roles, please feel free to send your resume to pooja.dhoot@orbus.co.in. We look forward to potentially having you as part of our team.,

As a Data Engineer at our company, you will be responsible for designing scalable and robust AI/ML systems in production, focusing on high-performance and cost-effective solutions. Your expertise in various technologies, including GCP services like BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage, along with programming languages such as Python, Java/Scala, and SQL, will be crucial for the success of our projects. Additionally, your experience with data processing tools like Apache Beam, Apache Kafka, and Cloud Dataprep, as well as orchestration tools like Apache Airflow and Terraform, will play a significant role in implementing efficient data pipelines. Knowledge of security protocols such as IAM, Cloud Identity, and Cloud Security Command Center, and containerization technologies like Docker and Kubernetes (GKE) will also be essential in ensuring data integrity and system security. Moreover, your familiarity with machine learning platforms like Google AI Platform, TensorFlow, and AutoML will enable you to develop and deploy cutting-edge AI models. Certification in Google Cloud Data Engineer and Cloud Architect is preferred, demonstrating your commitment to continuous learning and professional growth. In this role, you will collaborate with cross-functional teams, mentor engineers, and provide leadership to ensure that our projects meet business objectives. Your ability to implement MLOps practices, deploy models, monitor performance, and manage version control will be critical for the success of our AI/ML initiatives. Furthermore, your deep understanding of frameworks such as TensorFlow, PyTorch, and Scikit-learn, coupled with experience in data engineering principles, scalable pipelines, and distributed systems like Apache Kafka, Spark, and Kubernetes, will be invaluable assets in designing and deploying advanced machine learning models. The ideal candidate will possess strong leadership and mentorship capabilities, problem-solving skills, project management abilities, and a collaborative mindset. By fostering a positive and productive work environment, you will contribute to the success of our team and the timely delivery of high-quality solutions. At our company, you will have the opportunity to work on cutting-edge projects, collaborate with a highly motivated team, and enjoy a competitive salary, flexible schedule, and a comprehensive benefits package. Join us at Grid Dynamics, a leading provider of technology consulting and engineering services, and be part of our journey to solve complex technical challenges and drive positive business outcomes for our clients worldwide.,

You should have a strong understanding of the tech stack including GCP Services such as BigQuery, Cloud Dataflow, Pub/Sub, Dataproc, and Cloud Storage. Experience with Data Processing tools like Apache Beam (batch/stream), Apache Kafka, and Cloud Dataprep is crucial. Proficiency in programming languages like Python, Java/Scala, and SQL is required. Your expertise should extend to Orchestration tools like Apache Airflow (Cloud Composer) and Terraform, and Security aspects including IAM, Cloud Identity, and Cloud Security Command Center. Knowledge of Containerization using Docker and Kubernetes (GKE) is essential. Familiarity with Machine Learning platforms such as Google AI Platform, TensorFlow, and AutoML is expected. Candidates with certifications like Google Cloud Data Engineer and Cloud Architect are preferred. You should have a proven track record of designing scalable AI/ML systems in production, focusing on high-performance and cost-effective solutions. Strong experience with cloud platforms (Google Cloud, AWS, Azure) and cloud-native AI/ML services like Vertex AI and SageMaker is important. Your role will involve implementing MLOps practices, including model deployment, monitoring, retraining, and version control. Leadership skills are key to guide teams, mentor engineers, and collaborate effectively with cross-functional teams to achieve business objectives. A deep understanding of frameworks like TensorFlow, PyTorch, and Scikit-learn for designing, training, and deploying models is necessary. Experience with data engineering principles, scalable pipelines, and distributed systems (e.g., Apache Kafka, Spark, Kubernetes) is also required. Nice to have requirements include strong leadership and mentorship capabilities to guide teams towards best practices and high-quality deliverables. Excellent problem-solving skills focusing on designing efficient, high-performance systems are valued. Effective project management abilities are necessary to handle multiple initiatives and ensure timely delivery. Collaboration and teamwork are emphasized to foster a positive and productive work environment.,