3 Gcp Platform Jobs

As a Reporting and Analytics Lead at HSBC, you will play a crucial role in managing a cross-functional team, strategic external suppliers, and business stakeholders. You will set clear development priorities, performance expectations, and accountability measures for supplier teams. Proactively managing risks, issues, and changes in scope will be essential to ensure alignment with business objectives. Your responsibilities will include reporting regularly on project status, updating Jira and Confluence, preparing project plans, providing mentoring and guidance to team members, and fostering a culture of collaboration and accountability focused on delivery excellence. You will oversee the ingestion and transformation of data from automated feeds and manual sources, implement robust data validation processes, and lead the transformation of legacy data into scalable, modular platforms. Driving automation, reducing manual interventions, and defining enterprise data standards will be key aspects of your role. Additionally, you will design fault-tolerant ETL/ELT pipelines, ensure data integrity across all stages of analysis, and mitigate risks associated with decision-support systems through validation and testing. In this role, you will act as a strategic partner in gathering and refining business requirements, conducting impact assessments, and translating business needs into clear documentation. You will build internal capability around data standardization, automation best practices, and documentation, ensuring that solutions meet both functional and non-functional business requirements. Engaging with business leaders and technical teams, you will facilitate decision-making, alignment, and lead workshops, presentations, and status meetings with diverse audiences. To be successful in this role, you should possess a Master's degree in Business, Computer Science, Engineering, or related fields, along with 12+ years of experience in project management, enterprise data infrastructure, or engineering roles. Strong background in Business Analytics, data standards, governance frameworks, and familiarity with data pipeline tooling, automation practices, and version control are required. Hands-on experience with data transformation tools, basic knowledge of Python and SQL scripting, and relevant certifications such as PMP, PRINCE2, Agile/Scrum, or CBAP are preferred. A background in Financial Services, Banking, or Enterprise IT environment is advantageous, as well as deep expertise in SQL Server, GCP platform, and large-scale ETL/ELT architecture. Your combination of technical skills, analytical acumen, collaborative abilities, and leadership mindset will enable you to contribute effectively to enhancing operational excellence and informed decision-making within the organization. Join HSBC and make a real impression by leveraging your expertise in reporting and analytics to drive impactful outcomes.,

As a Cloud Engineer at our company, you will be responsible for ensuring that the Google Cloud Platform (GCP) is reliable, scalable, and secure. Your duties will include staying updated on the latest GCP technologies and trends, as well as developing and mentoring Cloud engineers and operators. You will play a key role in designing and implementing GCP services availability and performance monitoring. Monitoring the health, performance, capacity, and usage of GCP resources will be crucial in ensuring adherence to established Service Level Agreements (SLAs). Additionally, you will be expected to implement cost reduction techniques, such as rightsizing, reserved instances, spot instances, and auto-scaling, to optimize cloud spend. Providing day-to-day support for GCP services will be part of your routine, including incident management, vendor cases, GCP configurations, backup/restore, and network connectivity. You will be responsible for provisioning GCP projects and services based on approved architecture designs and patterns, as well as supporting FinOps planning, budgeting, and forecasting. To excel in this role, we recommend obtaining certifications such as Professional Cloud Architect and Professional Networking Engineer. Join our team and be part of our innovative GCP environment where you can make a real difference!,

Job Title: GCP DevOps Engineer Locations: Bangalore, Pune, Mumbai Job Description: We are seeking a highly skilled and motivated GCP DevOps Engineer to join our dynamic team. The ideal candidate will have extensive experience with Google Cloud Platform (GCP), Kubernetes, and Docker. This role involves working closely with our development and operations teams to ensure seamless integration and deployment of applications. Key Responsibilities: Design, implement, and manage CI/CD pipelines on GCP. Automate infrastructure provisioning, configuration, and deployment using tools like Terraform and Ansible. Manage and optimize Kubernetes clusters for high availability and scalability. Containerize applications using Docker and manage container orchestration. Monitor system performance, troubleshoot issues, and ensure system reliability and security. Collaborate with development teams to ensure smooth and reliable operation of software and systems. Implement and manage logging, monitoring, and alerting solutions. Stay updated with the latest industry trends and best practices in DevOps and cloud technologies. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Proven experience as a DevOps Engineer with a focus on GCP. Strong expertise in Kubernetes and Docker. Experience with infrastructure as code (IaC) tools such as Terraform and Ansible. Proficiency in scripting languages like Python, Bash, or Go. Familiarity with CI/CD tools such as Jenkins, GitLab CI, or CircleCI. Knowledge of networking, security, and database management. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: GCP Professional DevOps Engineer certification. Experience with other cloud platforms like AWS or Azure. Knowledge of microservices architecture and serverless computing. Experience with monitoring tools like Prometheus, Grafana, or ELK stack.