Sr. Data Devops Engineer (AWS Certified DevOps Engineer- Must) _Remote

Xoriant is an equal opportunity employer. No person shall be excluded from consideration for employment because of race, ethnicity, religion, caste, gender, gender identity, sexual orientation, marital status, national origin, age, disability or veteran status.

Title - Senior Data DevOps Engineer

Location Remote

Rate As per market

/////***MUST - AWS Certified DevOps Engineer Professional or similar AWS certifications***/////

Dynamic and results-driven Senior DevOps Engineer with over 8 years of professional experience in designing, implementing, and optimizing DevOps pipelines and cloud infrastructure. Proficient in leveraging cutting-edge technologies to drive automation, efficiency, and scalability for enterprise systems. Adept at mentoring teams, collaborating cross-functionally, and delivering robust solutions aligned with business objectives

Core Competencies
? Cloud Technologies: AWS (Lambda, API Gateway, ECS, CloudFormation, Terraform, Redshift, Snowflake, Databricks).
? DevOps Tools: CI/CD pipelines, GitHub Actions, Code Commit, CodeBuild, CodePipeline, CodeDeploy.
? Automation: Infrastructure as Code (IaC), Python, Shell scripting, Spark.
? Data Engineering Support: Distributed data systems (EMR, Hadoop, Hive, Spark), data modeling.
? Deployment Strategies: Blue/Green deployments, serverless applications, container orchestration.
? Security and Compliance: IAM, bucket policies, ACLs, encryption, OKTA configurations, compliance and monitoring.
? Optimization: Cost-saving strategies, auto scaling, performance tuning, reserved instances.
? Team Leadership: Mentorship, roadmap definition, performance feedback, cross-team collaboration

Qualifications/Requirements
? Spearhead the design, implementation, and maintenance of CI/CD pipelines using AWS services, enabling seamless and automated deployments.
? Develop and enforce best practices for version control, configuration management, and IaC using Terraform and AWS Cloud Formation.
? Manage serverless application deployments using AWS Lambda and API Gateway, ensuring high availability and performance.
? Oversee container orchestration via Elastic Container Services (ECS), enabling scalable microservices architecture.
? Implement advanced security measures including IAM policies, bucket encryption, and compliance protocols to protect sensitive data.
? Mentor and lead a team of DevOps engineers, providing direction, goal setting, and performance reviews.
? Partner with data engineering teams to optimize infrastructure for distributed data processing frameworks such as Spark and Hadoop.
? Proactively identify and resolve infrastructure issues, delivering 24/7 support and minimizing system downtime.
? Optimize resource utilization and costs by deploying autoscaling and spot pricing strategies

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