Sr. Engineer, Devops (AWS Automation)

You will be responsible for owning production ML environments and MLOps infrastructure within infrastructure and data science teams. This involves handling day-to-day support, ad-hoc requests, and cross-team projects. You will need to architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

Key Responsibilities:

• Architect and productionize microservices with advanced DevOps pipelines, collaborating with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
• Design comprehensive observability frameworks to minimize MTTR (Mean Time To Recovery) and ensure 24x7 platform reliability.
• Engineer secure, automated CI/CD workflows with governance and compliance controls.
• Lead 24x7 on-call engineering, CDN & security hardening, and cost optimization strategies in IAAS & 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) of AWS/DevOps production experience.
• Proficiency in scripting languages such as Python, Bash, Groovy, and Java (CI/CD, EKS, FastAPI/Spring Boot).
• Experience with CI/CD tools like Jenkins (declarative pipelines, Groovy), Spinnaker, CodePipeline/CodeBuild, Gradle, Maven, Artifactory, GitHub Actions.
• Knowledge of Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
• Familiarity with container technologies such as EKS + Istio/Gloo/Karpenter, ECS, Docker, Buildah.
• Expertise in AWS services like VPC, IAM, GuardDuty, AWS Config, S3, DynamoDB, Lambda, SageMaker, EMR, and cost optimization.
• Proficient in observability tools like Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor.
• Experience with GitHub actions automation, branch/PR governance, and DNS management (NS1, Cloudflare, GoDaddy). You will be responsible for owning production ML environments and MLOps infrastructure within infrastructure and data science teams. This involves handling day-to-day support, ad-hoc requests, and cross-team projects. You will need to architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.

Key Responsibilities:

• Architect and productionize microservices with advanced DevOps pipelines, collaborating with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
• Design comprehensive observability frameworks to minimize MTTR (Mean Time To Recovery) and ensure 24x7 platform reliability.
• Engineer secure, automated CI/CD workflows with governance and compliance controls.
• Lead 24x7 on-call engineering, CDN & security hardening, and cost optimization strategies in IAAS & 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) of AWS/DevOps production experience.
• Proficiency in scripting languages such as Python, Bash, Groovy, and Java (CI/CD, EKS, FastAPI/Spring Boot).
• Experience with CI/CD tools like Jenkins (declarative pipelines, Groovy), Spinnaker, CodePipeline/CodeBuild, Gradle, Maven, Artifactory, GitHub Actions.
• Knowledge of Infrastructure as Code (IaC) tools like Terraform and AWS CloudFormation.
• Familiarity with container technologies such as EKS + Istio/Gloo/Karpenter, ECS, Docker, Buildah.
• Expertise in AWS services like VPC, IAM, GuardDuty, AWS Config, S3, DynamoDB, Lambda, SageMaker, EMR, and cost optimization.
• Proficient in observability tools like Splunk, CloudWatch, Prometheus/Grafana, New Relic, Azure Monitor.
• Experience with GitHub actions automation, branch/PR governance, and DNS management (NS1, Cloudflare, GoDaddy).