2 Gcloud Cli Jobs

It&aposs fun to work in a company where people truly BELIEVE in what they are doing! We&aposre committed to bringing passion and customer focus to the business. Location - Open Position: Data Engineer (GCP) Technology If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As an Analytics Technology Engineer, you will work on the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. Responsibilities: Be an integral part of large scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Qualifications & Experience: A bachelors degree in Computer Science or related field with 5 to 10 years of technology experience Desired Technical Skills: Data Engineering and Analytics on Google Cloud Platform: Basic Cloud Computing Concepts Bigquery, Google Cloud Storage, Cloud SQL, PubSub, Dataflow, Cloud Composer, GCP Data Transfer, gcloud CLI Python, Google Cloud Python SDK, SQL Experience in working with Any NoSQL/Columnar / MPP Database Experience in working with Any ETL Tool (Informatica/DataStage/Talend/Pentaho etc.) Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP Architecture Other Desired Skills: Excellent communication and co-ordination skills Problem understanding, articulation and solutioning Quick learner & adaptable with regards to new technologies Ability to research & solve technical issues Responsibilities: Developing Data Pipelines (Batch/Streaming) Developing Complex data transformations ETL Orchestration Data Migration Develop and Maintain Datawarehouse / Data Lakes Good To Have: Experience in working with Apache Spark / Kafka Machine Learning concepts Google Cloud Professional Data Engineer Certification If you like wild growth and working with happy, enthusiastic over-achievers, you&aposll enjoy your career with us! Not the right fit Let us know you&aposre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

Exp Range 7+ Years Location Pune/Indore Notice – Immediate Senior DevOps Engineer Location: Indore, Pune – work from office. Job Summary: We are seeking an experienced and enthusiastic Senior DevOps Engineer with 7+ years of dedicated experience to join our growing team. In this pivotal role, you will be instrumental in designing, implementing, and maintaining our continuous integration, continuous delivery (CI/CD) pipelines, and infrastructure automation. You will champion DevOps best practices, optimize our cloud-native environments, and ensure the reliability, scalability, and security of our systems. This role demands deep technical expertise, an initiative-taking mindset, and a strong commitment to operational excellence. Key Responsibilities: CI/CD Pipeline Management: Design, build, and maintain robust and automated CI/CD pipelines using GitHub Actions to ensure efficient and reliable software delivery from code commit to production deployment. Infrastructure Automation: Develop and manage infrastructure as code (IaC) using Shell scripting and GCloud CLI to provision, configure, and manage resources within Google Cloud Platform (GCP) . Deployment Orchestration: Implement and optimize deployment strategies, leveraging GitHub for version control of deployment scripts and configurations, ensuring repeatable and consistent releases. Containerization & Orchestration: Work extensively with Docker for containerizing applications, including building, optimizing, and managing Docker images. Artifact Management: Administer and optimize artifact repositories, specifically Artifactory in GCP , to manage dependencies and build artifacts efficiently. System Reliability & Performance: Monitor, troubleshoot, and optimize the performance, scalability, and reliability of our cloud infrastructure and applications. Collaboration & Documentation: Work closely with development, QA, and operations teams. Utilize Jira for task tracking and Confluence for comprehensive documentation of systems, processes, and best practices. Security & Compliance: Implement and enforce security best practices within the CI/CD pipelines and cloud infrastructure, ensuring compliance with relevant standards. Mentorship & Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of learning and continuous improvement within the team. Incident Response: Participate in on-call rotations and provide rapid response to production incidents, perform root cause analysis, and implement preventative measures. Required Skills & Experience (Mandatory - 7+ Years): Proven experience (7+ years) in a DevOps, Site Reliability Engineering (SRE), or similar role. Expert-level proficiency with Git and GitHub , including advanced branching strategies, pull requests, and code reviews. Experience designing and implementing CI/CD pipelines using GitHub Actions. Deep expertise in Google Cloud Platform (GCP) , including compute, networking, storage, and identity services. Advanced proficiency in Shell scripting for automation, system administration, and deployment tasks. Strong firsthand experience with Docker for containerization, image optimization, and container lifecycle management. Solid understanding and practical experience with Artifactory (or similar artifact management tools) in a cloud environment. Expertise in using GCloud CLI for automating GCP resource management and deployments. Demonstrable experience with Continuous Integration (CI) principles and practices. Proficiency with Jira for agile project management and Confluence for knowledge sharing. Strong understanding of networking concepts, security best practices, and system monitoring. Excellent critical thinking skills and an initiative-taking approach to identifying and resolving issues. Nice-to-Have Skills: Experience with Kubernetes (GKE) for container orchestration. Familiarity with other Infrastructure as Code (IaC) tools like Terraform . Experience with monitoring and logging tools such as Prometheus, Grafana, or GCP's Cloud Monitoring/Logging. Proficiency in other scripting or programming languages (e.g., Python, Go) for automation and tool development. Experience with database management in a cloud environment (e.g., Cloud SQL, Firestore). Knowledge of DevSecOps principles and tools for integrating security into the CI/CD pipeline. GCP Professional Cloud DevOps Engineer or other relevant GCP certifications. Experience with large-scale distributed systems and microservices architectures.