Overview
Own production ML environments and MLOps infrastructure within infrastructure and data science teams, handling day-to-day support, ad-hoc requests and cross-team projects.
What you'll do
- Architect and productionize microservices with advanced DevOps pipelines, partnering with data science/ML teams to optimize model serving on Kubernetes platforms with service mesh.
- Architect scalable MLOps pipelines using AWS services like SageMaker, EMR, and OpenSearch.
- Design comprehensive observability frameworks to minimize MTTR and ensure 24x7 platform reliability.
- Engineer secure, automated CI/CD workflows with governance and compliance controls.
- Lead 24x7 on-call engineering, CDN and security hardening and cost optimization strategies, IAAS and 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.
What you'll need
- 4.5+ years (Sr. Engineer) or 7+ years (Module Lead) of AWS/DevOps production experience.
- 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.
- Systems/Networking: Nginx/IIS, WAF/firewalls, DDoS mitigation.
- CI/CD: Jenkins (declarative pipelines, Groovy), Spinnaker, CodePipeline/CodeBuild, Gradle, Maven, Artifactory, GitHub Actions.
- IaC: Terraform, AWS CloudFormation.
- Scripting: Python/Bash/Groovy/Java (CI/CD, EKS, FastAPI/Spring Boot).
- Containers: EKS with Istio/Gloo/Karpenter, ECS, Docker, Buildah.
- CDN: Akamai, CloudFront (cache/SSL/performance), Cloudflare.
- Search/Data: Solr/OpenSearch, EMR pipelines.
- DNS management (NS1/Cloudflare/GoDaddy).
Details
- Location: Noida, Uttar Pradesh, India.
Read the full description and apply on the company’s own careers page.