Engineer-Devops (AWS)

You will be responsible for owning production ML environments and MLOps infrastructure within the infrastructure and data science teams. This includes handling day-to-day support, ad-hoc requests, and cross-team projects. You will architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch. **Role Overview:** - You will work within the Infrastructure team, providing various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security, and compliance. - Your responsibilities will help to improve efficiency, reduce errors, ensure fast and reliable application releases, and maintain security and compliance. **Key Responsibilities:** - Productionize uServices, design and maintain DevOps pipelines, and collaborate with data scientists on model serving and workflow optimization. - Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. - Automate CI/CD for ML models and infrastructure with governance and security compliance. - Handle security patching, cost optimization, and participate in 24x7 on-call rotations for critical services. - Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes. **Qualifications Required:** - 5+ years (Sr Engineer)/7+ years (Module Lead) in AWS and DevOps with hands-on expertise in CI/CD pipelines using Jenkins, Spinnaker, Groovy, CodePipeline, CodeBuild, Gradle, Artifactory, Docker/npm registries. - Deep knowledge of containerization/orchestration with Kubernetes (EKS), ECS, Docker; Infrastructure-as-Code via Terraform. - Proficiency in Python/Bash scripting for CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services, and Linux servers (Solr/OpenSearch). - Experience with AWS services (S3, DynamoDB, Lambda, Step Functions), cost control, reporting, databases (MySQL, MongoDB). - Skills in monitoring with CloudWatch, Prometheus, Grafana, ELK, Datadog, Splunk for health/performance analytics, and strong Linux and networking fundamentals. **About BOLD:** BOLD is an established global organization that helps people find jobs. They create digital products that empower millions of people in 180 countries to build stronger resumes, cover letters, and CVs. BOLD values diversity and inclusion, promoting an Equal Opportunity Employer environment where hiring is based on qualifications, merit, and business needs without discrimination. You will be responsible for owning production ML environments and MLOps infrastructure within the infrastructure and data science teams. This includes handling day-to-day support, ad-hoc requests, and cross-team projects. You will architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch. **Role Overview:** - You will work within the Infrastructure team, providing various services including automation, observability, cloud/server/network architectures, CICD, infrastructure as code, database administration, incident management, vendor management, security, and compliance. - Your responsibilities will help to improve efficiency, reduce errors, ensure fast and reliable application releases, and maintain security and compliance. **Key Responsibilities:** - Productionize uServices, design and maintain DevOps pipelines, and collaborate with data scientists on model serving and workflow optimization. - Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability. - Automate CI/CD for ML models and infrastructure with governance and security compliance. - Handle security patching, cost optimization, and participate in 24x7 on-call rotations for critical services. - Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes. **Qualifications Required:** - 5+ years (Sr Engineer)/7+ years (Module Lead) in AWS and DevOps with hands-on expertise in CI/CD pipelines using Jenkins, Spinnaker, Groovy, CodePipeline, CodeBuild, Gradle, Artifactory, Docker/npm registries. - Deep knowledge of containerization/orchestration with Kubernetes (EKS), ECS, Docker; Infrastructure-as-Code via Terraform. - Proficiency in Python/Bash scripting for CI/CD, provisioning, monitoring of FastAPI/Spring Boot web services, and Linux servers (Solr/OpenSearch). - Experience with AWS services (S3, DynamoDB, Lambda, Step Functions), cost control, reporting, databases (MySQL, MongoDB). - Skills in monitoring with CloudWatch, Prometheus, Grafana, ELK, Datadog, Splunk for health/performance analytics, and strong Linux and networking fundamentals. **About BOLD:** BOLD is an established global organization that helps people find jobs. They create digital products that empower millions of people in 180 countries to build stronger resumes, cover letters, and CVs. BOLD values diversity and inclusion, promoting an Equal Op