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As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market. You will have end-to-end ownership from individual development environments and SCM/Build/CI servers to our production system on AWS.
Job Responsibility
Design and manage Continuous Integration/Deployment Services, including build, packaging, and deployment
Design, document, implement, and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process
Requirements
4+ years of experience as a DevOps engineer or Site Reliability Engineer
Deep knowledge and experience in cloud infrastructure such as AWS, Azure, or Google Cloud
Strong hands-on experience operating production workloads on AWS, with an emphasis on serverless systems (Lambda, DynamoDB, OpenSearch, S3, API Gateway, EventBridge, SQS/SNS, CloudFront, IAM, and CloudWatch)
Experience with Infrastructure as Code (IaC) tools such as Terraform, AWS CDK, or CloudFormation
Experience with containerization and orchestration technologies like Docker, Kubernetes, or ECS/ECR
Experience with CI/CD tools and configuration management systems like Jenkins, Git, or Ansible
Practical experience with high-availability design, disaster recovery planning, backups, restores, and rollbacks across multiple AWS regions
Proficiency in scripting with Bash and Python
Experience with end-to-end system ownership, including on-call participation, incident response, and root-cause analysis
Fluent in English with strong writing skills
Nice to have
Hands-on experience with monitoring and alerting tools like Datadog, CloudWatch, or PagerDuty
Good understanding of cloud networking and topology
Experience mentoring other engineers and setting technical standards
Proven ability to reduce manual operational work through automation and tooling
Strong ability for rapid self-learning and adoption of new technologies