5+ years of hands-on AWS experience, including various services and tools
5+ years of proficiency with Terraform/Terragrunt
2+ years of experience as a Data Engineer with Databricks
Expert proficiency in Python and CI/CD pipeline creation.
Responsibilities
Drive the infrastructure strategy with the DevOps team
Build, manage, and automate AWS infrastructure
Oversee maintenance and growth of data lakehouse infrastructure
Champion security by implementing necessary tools and processes
Lead the engineering team on infrastructure and big data topics
Identify and adopt high-level technologies and processes
Participate in L2 engineering support rotation.
Benefits
Flexible work hours
Opportunities for professional development
Dynamic and collaborative work environment
Health and wellness programs
Comprehensive insurance options.
Full Job Description
Job Description
Drive the infrastructure strategy alongside the rest of the DevOps team
Be responsible for building, managing, and automating our AWS infrastructure
Oversee the maintenance and growth of our data lakehouse infrastructure and implementation
Champion security by adopting necessary tools and processes
Provide leadership to the entire engineering team on various infrastructure and big data topics
Identify and adopt high-level technologies, processes, and services that impact the organization on a system-wide scope
Participate in the L2 rotation for engineering support
Requirements
8+ years of experience as a DevOps Engineer
5+ years of experience with the AWS cloud platform, including proficiency with AWS SDK, AWS CLI/UI, and services such as VPC, Route53, Private and Public subnets, route tables, IGW, EC2 Instances, CloudFront, API Gateway, IAM, ELB, Autoscaling, CloudWatch, EFS, NFS, EBS, S3, RDS, Lambda, SQS/SNS, Kafka, Security groups, etc.
5+ years of experience with Terraform/Terragrunt
5+ years of experience with event processing infrastructure
2+ years of experience as a Data Engineer with Databricks, including data pipelines, Debezium, Spark, and data modeling
Expert proficiency with Python
Model serving experience
Expert proficiency in deploying, maintaining, and scaling applications
Proficiency with Docker, Kubernetes, and Serverless functions
Expert proficiency in setting up CI/CD pipelines (tools/processes/governance)
Experience creating and maintaining fully automated CI/CD pipelines for code deployment using tools such as Git, CircleCI, AWS Code build, and Code Deploy / Code pipeline
Proficient with both Relational and Non-Relational databases
Experience with Security vulnerability scanning tools (Guard Duty, Inspector)
Experience building Monitoring dashboards and leveraging tools such as Cloudwatch, Datadog, and Sumologic
