Senior DevOps Engineer

We are seeking a highly skilled Senior DevOps Engineer with over 8 years of professional experience in designing, implementing, and optimizing DevOps pipelines and cloud infrastructure. The ideal candidate is proficient in leveraging cutting-edge technologies to drive automation, efficiency, and scalability for enterprise systems. This role requires expertise in cloud technologies, DevOps tools, automation frameworks, and security compliance, along with the ability to mentor teams and collaborate cross-functionally to deliver 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, CodeCommit, 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, autoscaling, performance tuning, reserved instances.
• Team Leadership: Mentorship, roadmap definition, performance feedback, cross-team collaboration.

Responsibilities

• 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 Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
• 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.

Qualifications/Requirements

• 8+ years of professional experience in DevOps and cloud infrastructure management.
• Expertise in AWS services including Lambda, API Gateway, ECS, CloudFormation, Terraform, Redshift, Snowflake, and Databricks.
• Strong knowledge of CI/CD tools such as GitHub Actions, CodeCommit, CodeBuild, CodePipeline, and CodeDeploy.
• Hands-on experience with Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
• Proficiency in Python, Shell scripting, and Spark for automation and data processing.
• Experience in data engineering support, working with EMR, Hadoop, Hive, and Spark.
• Familiarity with security and compliance frameworks, including IAM policies, bucket encryption, and OKTA configurations.
• Proven track record in mentoring and leading DevOps teams.
• AWS Certified DevOps Engineer – Professional or similar AWS certifications preferred