2 Gcp Apis Jobs

As a Data Architecture professional with 8-15 years of experience, your primary responsibility will be to design and implement data-centric solutions on Google Cloud Platform (GCP). You will utilize various GCP tools such as Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, and GCP APIs to create efficient and scalable solutions. Your role will involve building ETL pipelines to ingest data from diverse sources into our system and developing data processing pipelines using programming languages like Java and Python for data extraction, transformation, and loading (ETL). You will be responsible for creating and maintaining data models to ensure efficient storage, retrieval, and analysis of large datasets. Additionally, you will deploy and manage both SQL and NoSQL databases like Bigtable, Firestore, or Cloud SQL based on project requirements. Your expertise will be crucial in optimizing data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure. Version control and CI/CD practices for data engineering workflows will be implemented by you to ensure reliable and efficient deployments. You will leverage GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures. Troubleshooting and resolving issues related to data processing, storage, and retrieval will be part of your daily tasks. Addressing code quality issues throughout the development lifecycle using tools like SonarQube, Checkmarx, Fossa, and Cycode will also be essential. Implementing security measures and data governance policies to maintain the integrity and confidentiality of data will be a critical aspect of your role. Collaboration with stakeholders to gather and define data requirements aligned with business objectives is key to success. You will be responsible for developing and maintaining documentation for data engineering processes to facilitate knowledge transfer and system maintenance. Participation in on-call rotations to address critical issues and ensure the reliability of data engineering systems will be required. Furthermore, providing mentorship and guidance to junior team members to foster a collaborative and knowledge-sharing environment will be an integral part of your role as a Data Architecture professional.,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Lead Consultant – GCP Platform Engineer We are looking for a GCP Platform Engineer (Lead Consultant level) to drive the design, implementation, and management of scalable and secure cloud-native platforms. The ideal candidate will have deep expertise in Google Cloud Platform (GCP) and hands-on experience in building automated, resilient, and highly available infrastructure environments. Responsibilities Design and implement infrastructure solutions on GCP using best practices for scalability, availability, and security. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform and Deployment Manager. Build and manage CI/CD pipelines, container orchestration platforms (GKE), and automated deployment processes. Implement and monitor logging, alerting, and observability frameworks across platform components. Collaborate with development, DevOps, and security teams to align platform engineering with product and business goals. Troubleshoot complex platform issues, performance bottlenecks, and optimize cloud spend (FinOps). Ensure compliance, governance, and risk management are embedded into platform delivery. Mentor junior engineers and participate in technical leadership forums and design reviews. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in information technology, Computer Science, or a related field. Strong knowledge of GCP core services : Compute, Networking, IAM, GKE, Cloud Functions, Cloud Build, etc. Proficiency in scripting (Python, Bash) and configuration management tools. Experience with CI/CD tooling (Jenkins, GitLab CI, Cloud Build) and monitoring tools (Prometheus, Stackdriver). Hands-on experience with containerization and Kubernetes in production environments. Expertise in Infrastructure as Code using Terraform or similar tools. Solid understanding of networking, security controls , and cloud-native architecture patterns. Preferred Qualifications/ Skills GCP certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect). Experience with multi-cloud or hybrid cloud environments. Exposure to Agile/DevOps methodologies and SRE principles. Previous experience in a consulting or client-facing role. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.