Sr. Engineer, Devops (AWS Automation)
Bold Technology Systems
About the role
• *Company Overview**
BOLD is revolutionising the career landscape by empowering individuals to discover and develop their professional paths. Our recent acquisitions of Monster and CareerBuilder will expand our global reach and impact. With a range of brands like FlexJobs, Zety, and Sonara and more, we provide job seekers with the tools to create impressive resumes and connect with employers. BOLD fosters a dynamic, inclusive culture that prioritises innovation and growth. So don't wait and join us in shaping the future of work and redefining successful careers • *Position Overview**
Own production ML environments and MLOps infrastructure within infrastructure and data science teams. Handle day-to-day support, ad-hoc requests, and cross-team projects. Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch • *Key Responsibilities** • Architect and productionize microservices with advanced DevOps pipelines , partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh. • Design comprehensive observability frameworks to minimize MTTR and ensure24x7platform reliability. • Engineer secure, automated CI/CD workflows with governance and compliance controls • Lead 24x7 on-call engineering, CDN & security hardening and cost optimization strategiesIAAS & PAAS in Cloud • Manage infrastructure operations, production deployments, and hybrid cloud environments. • Drive cross-functional collaboration with development, QA, operations, and data teams across global time zones to scale OpenSearch/EMR platforms and platform operations • *Required Skills** • 4.5+ years (Sr. Engineer) / 7+ years (Module Lead)AWS/DevOps production experience • Scripting: Python/Bash/Groovy/Java(CI/CD, EKS, FastAPI/Spring Boot) • CI/CD:Jenkins(declarative pipelines,Groovy),Spinnaker, CodePipeline/CodeBuild,Gradle,Maven, Artifactory, GitHub Actions • IaC:Terraform, AWS CloudFormation • Containers: EKS + Istio/Gloo/Karpenter, ECS, Docker, Buildah • AWS: VPC/IAM/GuardDuty/AWS Config, S3/ DynamoDB /Lambda /SageMaker /EMR, cost optimization • Observability: Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor • GitHub: Actions automation, branch/PR governance • DNS management (NS1/Cloudflare/GoDaddy
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