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8.0 - 12.0 years

25 - 30 Lacs

Hyderabad

Work from Office

Naukri logo

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. Gather and analyze requirements from various teams, translating them into actionable cloud delivery plans. Provision the cloud resources, ensuring they adhere to approved architectures and organizational standards on both Azure and AWS. Develop and maintain delivery processes and methodologies for multi-cloud deployments, with a focus on Data and AI platforms. Coordinate with project managers and business stakeholders to align cloud deliveries with project timelines and business objectives. Implement and maintain quality assurance processes for cloud deliveries across platforms. Stay up-to-date with the latest Azure and AWS services, features, and best practices, particularly in Data and AI, and incorporate them into delivery strategies. Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. Create and maintain documentation for cloud delivery processes, standards, and best practices across platforms. Collaborate with security teams to ensure cloud resources are deployed with appropriate security controls and comply with organizational policies in both Azure and AWS. Participate in capacity planning and cost optimization initiatives for multi-cloud resources. Facilitate knowledge sharing sessions and training programs to enhance the team's expertise in Azure, AWS, and Data and AI technologies. Establish and track key performance indicators (KPIs) for cloud delivery efficiency and quality across platforms. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both Azure and AWS. Strong understanding of Azure and AWS services, architectures, and best practices, particularly in Data and AI platforms. Certifications in both Azure (e.g., Azure Solutions Architect Expert) and AWS (e.g., AWS Certified Solutions Architect - Professional). Experience in working with multiple teams cloud platforms. Demonstrated ability to work horizontally across different teams and platforms. Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. working experience of DevOps practices and tools applicable to both Azure and AWS. Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). Proficiency in scripting languages (e.g., PowerShell, Bash, Python). Solid understanding of networking concepts and their implementation in Azure and AWS.

Posted 1 week ago

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8 - 12 years

25 - 30 Lacs

Hyderabad

Work from Office

Naukri logo

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. Gather and analyze requirements from various teams, translating them into actionable cloud delivery plans. Provision the cloud resources, ensuring they adhere to approved architectures and organizational standards on both Azure and AWS. Develop and maintain delivery processes and methodologies for multi-cloud deployments, with a focus on Data and AI platforms. Coordinate with project managers and business stakeholders to align cloud deliveries with project timelines and business objectives. Implement and maintain quality assurance processes for cloud deliveries across platforms. Stay up-to-date with the latest Azure and AWS services, features, and best practices, particularly in Data and AI, and incorporate them into delivery strategies. Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. Create and maintain documentation for cloud delivery processes, standards, and best practices across platforms. Collaborate with security teams to ensure cloud resources are deployed with appropriate security controls and comply with organizational policies in both Azure and AWS. Participate in capacity planning and cost optimization initiatives for multi-cloud resources. Facilitate knowledge sharing sessions and training programs to enhance the team's expertise in Azure, AWS, and Data and AI technologies. Establish and track key performance indicators (KPIs) for cloud delivery efficiency and quality across platforms. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both Azure and AWS. Strong understanding of Azure and AWS services, architectures, and best practices, particularly in Data and AI platforms. Certifications in both Azure (e.g., Azure Solutions Architect Expert) and AWS (e.g., AWS Certified Solutions Architect - Professional). Experience in working with multiple teams cloud platforms. Demonstrated ability to work horizontally across different teams and platforms. Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. working experience of DevOps practices and tools applicable to both Azure and AWS. Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). Proficiency in scripting languages (e.g., PowerShell, Bash, Python). Solid understanding of networking concepts and their implementation in Azure and AWS.

Posted 2 months ago

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5 - 10 years

20 - 35 Lacs

Bengaluru

Hybrid

Naukri logo

The Oracle Health Data Intelligence Platform seeks a dynamic, seasoned Product Content Designer to architect population health algorithms that measurably enhance patient care for millions of platform users. Leveraging your in-depth understanding of the healthcare landscape, industry best practices, and regulatory mandates, you will develop algorithms pivotal to both patient well-being and our clients' business objectives. Moreover, your role involves ensuring seamless alignment of our work with the platform's industry-leading data model and terminology frameworks. Responsibilities Requirement Elicitation and Documentation :Collaborate with Consulting and Product Management to accurately identify, define, and document comprehensive business and system requirements. Solution Design and Prioritization: Partner with stakeholders to pinpoint areas for improvement and propose innovative solutions. Create detailed specifications for clinical algorithms tailored to our clients' value-based care initiatives. Develop and prioritize user stories in conjunction with Consulting and Product Management. Scope Definition and Acceptance Criteria: Clearly outline the scope and acceptance criteria for each user story or feature to foster development team comprehension. Collaboration and Validation: Work closely with the engineering team to ensure that implemented changes meet expectations. Contribute to the design of automation and tooling to streamline the algorithm development process. Cross-Functional Coordination: Coordinate efforts across multiple internal teams and knowledge domains to optimize clinical algorithm performance. Subject Matter Expertise and Mentorship: Serve as a recognized subject matter expert, mentoring less experienced team members. Represent the team in customer interactions as a subject matter authority on algorithm design and terminology value sets. Process Understanding: Gain a comprehensive grasp of end-to-end customer workflows, desired outcomes, KPIs, and the impact of requirements on regulatory, business, and patient care needs. Qualifications & Skills Minimum 5 years of experience in Business Analysis, Product Ownership, or a comparable role. Bachelor's degree in Business Administration or higher, Healthcare Management, Information Technology, or a related field. Strong understanding of the US healthcare industry, with a preference for experience in Population Health Management and Clinical Quality Measures. Exposure to healthcare interoperability standards like HL7 and FHIR is advantageous. In-depth knowledge of healthcare processes, regulations, and standards. Exceptional analytical, problem-solving, and communication abilities. Proficiency in Agile tools and methodologies (e.g., Jira, Confluence). Ability to thrive in a fast-paced, dynamic environment. Excellent presentation and written communication skills. Experience working with diverse healthcare data sources, including EHR, billing, lab, eligibility, or claims. Knowledge of FHIR, QDM, or other healthcare data modelling standards. Familiarity with healthcare industry quality measurement methodologies. Working knowledge of industry standard terminologies such as SNOMED CT, ICD, and CPT. Strong critical thinking and problem-solving skills. The ability to navigate complex specifications and design algorithms that align with business or clinical objectives while considering the constraints of real-world clinical and administrative healthcare data. Capacity to create clinical scenarios for algorithm testing by the engineering team. Career Level - IC3 / IC4 Responsibilities Responsibilities Requirement Elicitation and Documentation :Collaborate with Consulting and Product Management to accurately identify, define, and document comprehensive business and system requirements. Solution Design and Prioritization: Partner with stakeholders to pinpoint areas for improvement and propose innovative solutions. Create detailed specifications for clinical algorithms tailored to our clients' value-based care initiatives. Develop and prioritize user stories in conjunction with Consulting and Product Management. Scope Definition and Acceptance Criteria: Clearly outline the scope and acceptance criteria for each user story or feature to foster development team comprehension. Collaboration and Validation: Work closely with the engineering team to ensure that implemented changes meet expectations. Contribute to the design of automation and tooling to streamline the algorithm development process. Cross-Functional Coordination: Coordinate efforts across multiple internal teams and knowledge domains to optimize clinical algorithm performance. Subject Matter Expertise and Mentorship: Serve as a recognized subject matter expert, mentoring less experienced team members. Represent the team in customer interactions as a subject matter authority on algorithm design and terminology value sets. Process Understanding: Gain a comprehensive grasp of end-to-end customer workflows, desired outcomes, KPIs, and the impact of requirements on regulatory, business, and patient care needs. Skills: "Technical Program Management", "Agile", "JIRA", "Project Management", "CICD", Good understanding of SDLC, "Cloud Technologies" "Jira/Confluence", "Cloud Delivery Exposure to any cloud like AWS, GCP, OCI will be a great advantage. Certifications will be added advantages, Good Communication, Collaboration Skills,

Posted 3 months ago

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8 - 12 years

25 - 30 Lacs

Hyderabad

Work from Office

Naukri logo

Overview We are seeking an experienced Cloud Delivery engineer to work horizontally across our organization, collaborating with Cloud Engineering, Cloud Operations, and cross-platform teams. This role is crucial in ensuring that cloud resources are delivered according to established standards, with a focus on both Azure and AWS platforms. The Cloud Delivery engineer will be responsible for delivery of Data and AI platforms. Responsibilities Collaborate closely with Cloud Engineering, Cloud Operations, and cross-platform teams to ensure seamless delivery of cloud resources on both Azure and AWS. Gather and analyze requirements from various teams, translating them into actionable cloud delivery plans. Provision the cloud resources, ensuring they adhere to approved architectures and organizational standards on both Azure and AWS. Develop and maintain delivery processes and methodologies for multi-cloud deployments, with a focus on Data and AI platforms. Coordinate with project managers and business stakeholders to align cloud deliveries with project timelines and business objectives. Implement and maintain quality assurance processes for cloud deliveries across platforms. Stay up-to-date with the latest Azure and AWS services, features, and best practices, particularly in Data and AI, and incorporate them into delivery strategies. Identify and mitigate risks associated with cloud deployments and resource management in multi-cloud environments. Create and maintain documentation for cloud delivery processes, standards, and best practices across platforms. Collaborate with security teams to ensure cloud resources are deployed with appropriate security controls and comply with organizational policies in both Azure and AWS. Participate in capacity planning and cost optimization initiatives for multi-cloud resources. Facilitate knowledge sharing sessions and training programs to enhance the team's expertise in Azure, AWS, and Data and AI technologies. Establish and track key performance indicators (KPIs) for cloud delivery efficiency and quality across platforms. Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred. 8+ years of experience in IT, with at least 4 years focused on cloud technologies, including substantial experience with both Azure and AWS. Strong understanding of Azure and AWS services, architectures, and best practices, particularly in Data and AI platforms. Certifications in both Azure (e.g., Azure Solutions Architect Expert) and AWS (e.g., AWS Certified Solutions Architect - Professional). Experience in working with multiple teams cloud platforms. Demonstrated ability to work horizontally across different teams and platforms. Strong knowledge of cloud security principles and compliance requirements in multi-cloud environments. working experience of DevOps practices and tools applicable to both Azure and AWS. Experience with infrastructure as code (e.g., ARM templates, CloudFormation, Terraform). Proficiency in scripting languages (e.g., PowerShell, Bash, Python). Solid understanding of networking concepts and their implementation in Azure and AWS.

Posted 3 months ago

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