BTree Solutions Inc

Job Title: AWS INFRASTRUCTURE ENGINEER / AI Location: Mclean,VA Duration: 12 Months Visa: USC, GC, H1B and EAD Contract Type: W2 Job Summary We are looking for an AWS Infrastructure Engineer with AI experience to design, deploy, and operate scalable cloud infrastructure that supports AI/ML platforms and data-driven applications. This role sits at the intersection of cloud engineering, DevOps, and MLOps, enabling teams to reliably train, deploy, and scale machine learning models on AWS. Responsibilities Design and manage AWS cloud infrastructure for AI/ML workloads Build and maintain Infrastructure as Code using Terraform or CloudFormation Support model training, inference, and data pipelines Deploy and operate containerized workloads using Docker, EKS, or ECS Implement CI/CD pipelines for infrastructure and ML systems Optimize systems for cost, performance, and reliability Enforce security best practices (IAM, networking, encryption) Monitor, log, and troubleshoot production environments Collaborate with ML engineers, data scientists, and software teams Required Qualifications Strong experience with AWS services (EC2, EKS/ECS, S3, RDS, VPC, IAM, Lambda) Hands-on experience supporting AI/ML platforms (SageMaker, EKS-based ML stacks, or similar) Experience with Terraform or other IaC tools Knowledge of Docker and Kubernetes Scripting skills (Python, Bash) Solid understanding of cloud security and networking

Job Title: INFRASTRUCTURE MONITORING ENGINEER Location: Mclean,VA Duration: 12 Months Visa: USC, GC, H1B and EAD Contract Type: W2 Job Description: Must have at least 5 years on experience with NetBrain and ThousandEyes Preferred experience with ELK, ExtraHop, Gigamon, NetIm, Splunk, and NetFlow. The Observability Engineer's primary focus is to support network observability and visibility transformation efforts by implementing and optimizing a multi-tiered observability strategy. The engineer will apply hands-on expertise across key platforms supporting visibility, analytics, diagnostics, and digital experience monitoring to enhance operational maturity across environments. The Observability Engineer will work directly with personnel to understand the organization's current architecture, tools, processes, and visibility requirements, and will support integration and refinement of observability capabilities across all applicable platforms and environments. Responsibilities for Observability Engineer: Integrate data and telemetry sources into enterprise observability ecosystem (netIM, Splunk, ELK, NetFlow, ThousandEyes, NetBrain, and other supported platforms) Assist with building and maintaining unified dashboards and visualization outputs for operational, engineering, and business stakeholders Support automated diagnostics, alerting, and reporting workflows to improve incident response activities Participate in tool modernization efforts including rationalization, consolidation, and replacement of legacy monitoring platforms Provide support for packet capture, traffic visibility, and deep network analytics using Extrahop, GigaMon, and comparable technologies Assist with digital experience and performance monitoring across cloud, application, and edge environments Collaborate with internal and external stakeholders to support architecture decisions, readiness, and platform adoption Support log aggregation, parsing, and analytics using Splunk and ELK stack technologies Contribute to automated network mapping and topology-driven diagnostics using NetBrain Support compliance and data integrity standards associated with observability, telemetry, and platform governance Assist with continuous improvement of alert rules, thresholds, and analytics logic Contribute to knowledge transfer efforts, documentation development, and operational playbook creationSupport performance baselining and predictive analytics initiatives to enhance operational visibility and service assurance.