DevOps Engineer

Start Date: Interview TypesSkills DevOps Visa Types H1B, Green Card, US ..Title: DevOps/Infrastructure EngineerLocation: Rockville, MD/Tysons, VA/HybridDuration: 12+ Months.Job Description:The DevOps/Infrastructure Engineer builds and maintains cloud infrastructure and deployment pipelines for a generative AI platform. This role is responsible for environment provisioning, container orchestration, CI/CD automation, and infrastructure scaling to support a microservice-based architecture. The DevOps/Infrastructure Engineer takes a broad perspective to infrastructure problems and exercises independent judgment in selecting techniques and evaluation criteria to obtain results.Key Responsibilities:Provision and manage AWS cloud environments across development, staging, and production tiersDeploy and operate containerized services and tool servers within a microservice architectureManage container orchestration with blue-green and canary deployment strategiesSupport infrastructure for platform dependencies including search engines, caching layers, and relational databasesExercise independent judgment in evaluating and selecting infrastructure approaches and toolingBuild and manage infrastructure on AWS, leveraging services such as ECS, ECR, IAM, VPC, S3, and CloudWatch DevOps & CI/CDMaintain and extend CI/CD pipelines using shared library patterns for service builds, testing, and deployment across a microservice fleetCollaborate with developers on container optimization, startup configuration, and environment managementIdentify gaps between system components and designs and deliver solutions that enable team autonomyDevelop actionable insights from analyzing infrastructure trends and DevOps best practices, communicating recommendations to management Monitoring, Scaling & ReliabilityImplement infrastructure monitoring, alerting, and scaling strategies for AI workloads and supporting servicesEnsure platform reliability through capacity planning, performance testing, and incident response processesOptimize resource utilization and cost across the cloud environment