{"id":1251921,"url":"https://alion.io/job/blue-cloud-softech-solutions-ltd-cloud-platform-engineer","title":"Cloud Platform Engineer","company":{"id":3802011,"name":"Blue Cloud Softech Solutions Ltd","domain":"bluecloudsoftech.com","url":"https://alion.io/company/blue-cloud-softech-solutions-ltd","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Bengaluru, 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create a safer, sustainable, and more connected world.\n\nWe are seeking a highly skilled, hands-on engineer with deep expertise in Databricks, CI/CD, and cloud infrastructure on AWS.\n\nThe ideal candidate should be well-versed in Databricks infrastructure management, automation, and deployment pipelines, with strong programming skills in Python.\n\nKey Responsibilities : \n\n- Manage and maintain AWS cloud infrastructure, ensuring scalability, security, and cost efficiency.\n\n- Design, build, and manage Databricks infrastructure on AWS.\n\n- Support deployment and operationalization of Databricks-based data platforms, including cluster management and job orchestration.\n\n- Implement Infrastructure as Code (IaC) practices using tools such as Terraform or AWS CloudFormation.\n\n- Develop automation scripts and tools using Python and Shell Scripting to streamline operational processes.\n\n- Design, implement, and optimize CI/CD pipelines using CloudBees (Jenkins) to support application and data platform deployments.\n\n- Collaborate with software engineering, data engineering, and architecture teams to enable reliable and efficient delivery pipelines.\n\n- Monitor system performance, availability, and reliability using enterprise monitoring solutions.\n\n- Troubleshoot production issues and implement root cause analysis with preventive actions.\n\n- Ensure compliance with TE Connectivity security, governance, and quality standards.\n\n- Drive continuous improvement initiatives aligned with DevOps best practices and TE operational excellence.\n\nRequired Qualifications : \n\n- Bachelor's degree in Computer Science, Information Technology, Engineering, or related discipline.\n\n- 4+ years of experience in DevOps, cloud engineering, or related roles.\n\n- Exposure to Databricks platform (cluster setup, job execution, notebooks).\n\n- Hands-on experience with AWS services (EC2, S3, IAM, VPC, Lambda, etc.).\n\n- Experience with CloudBees/Jenkins for CI/CD pipeline implementation.\n\n- Experience with Git-based version control systems.\n\n- Experience with monitoring and logging tools such as CloudWatch, DataDog.\n\n- Understanding of cloud security, networking, and system architecture principles.\n\n- Strong scripting/programming skills in Python and Groovy.\n\n- Experience working in Agile/Scrum environments.\nSkills\nCloudFormation, AWS, Cloud Infrastructure, CI/CD Pipeline, Python, Shell Scripting, DevOps, Cloud Services, Git, Monitoring Tools","description_format":"text","description_chars":2730,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Information 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