Infrastructure Engineer
3 weeks ago
Work with our customer’s data engineering and analytics teams to support their workflows and operations running on both their in-house, indigenously developed, and commercially offered platforms.
Perform root cause analysis, identify and resolve underlying problem patterns while driving automation solutions and optimizing engineering processes.
Works confidently with minimal supervision in a fast-paced, dynamic environment with a diverse group of individuals and teams.
Build tools/develop or help contribute to the improvement of solutions for challenging and business-critical problems.
Able to write clear, consumable, and effective documentation, playbooks, and other consolidated knowledge repositories that can help existing teams and future hired resources.
Design and implement end-to-end engineering solutions and processes for business opportunities
Possess leadership qualities through coaching and mentoring to improve our engineering processes and practices, quality, and deliverables
Enjoys working closely with all your other talented colleagues around the world in a collaborative and respectful manner
Bachelor’s degree or higher education, preferably in computing or any related field.
Minimum of 2-3 years working in a Dev-ops environment and is well adapted to its mindset and concepts.
Minimum of 2-3 years experience with UNIX/Linux administration and is comfortable in navigating and working through the operating system environment with basic troubleshooting skills.
Working knowledge in containerization and orchestration technologies such as Docker, Kubernetes, Mesos, etc. and is very familiar with its architecture, design and operations.
Knowledgeable in the operations, design, architecture, and management of Cloud based Infrastructure preferably AWS or similar technologies like Azure, GCP
Experience with build automation, source control and CI/CD tools (GitHub, Artifactory, Jenkins, Secrets, etc)
Experience in scripting languages such as Bash, Perl and Python.
Experience in customer success and support with excellent verbal and written communication skills
Experience working on projects with cross-functional teams
The role requires an 8-hour rotating shift on 24x7 coverage.
Amenable to a full on-site work set-up.
Working experience in Big Data ecosystems - Data analytics and other related operations and tools or solutions within its scope such as Apache Spark, Airflow, and Jupyter Notebook definitely is an advantage.
Adaptability and flexibility with new and emerging technologies
Relevant certifications in any of the skills on key qualifications
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