NetCraftsmen, now BlueAlly

• Participate in the design, deployment, and configuration of systems in customer environments. • Implement and configure hotel IT systems, including PMS, POS, and guest-facing technologies during project engagements. • Plan, configure, and maintain network security components including firewall rules, VPNs, and segmentation. • Set up and document monitoring tools during deployments as part of the solution delivery process. • Provide post-deployment support and knowledge transfer to ensure client operational readiness. • Work directly with clients to implement project-based solutions tailored to their technical and business requirements. • Collaborate with project managers to ensure technical deliverables align with project milestones. • Document architecture, deployment procedures, and handoff materials. • Create comprehensive technical documentation for all work completed, ensuring clarity and accessibility for customer IT teams.

• Deliver technical work as a mid-to-senior team member • Administer, maintain, and extend network monitoring platforms • Develop and maintain scripts in Perl, Python, and shell • Produce clear, accurate technical documentation and present findings or recommendations to client stakeholders • Recognize when project-impacting issues need to go up the chain and act on it

• Deliver technical work as a mid-to-senior team member • Take ownership of your area within larger projects while operating within BlueAlly’s quality standards • Lead specific workstreams in data center and cloud networking engagements based on your area of expertise • Produce clear, accurate technical documentation and present findings or recommendations to client stakeholders • Recognize when project-impacting issues need to go up the chain and act on it

• Design, build, and operate enterprise AI systems across our client portfolio. • Work end-to-end across the AI stack — from inference engines and platform infrastructure up through application-level engineering. • Lead end-to-end design, build, and operation of AI systems on AI Factory platforms across multiple client engagements. • Engineer and tune LLM inference serving stacks — primary depth in vLLM with breadth across the inference ecosystem — for client latency, throughput, and cost targets. • Tune inference performance through KV cache management, paged attention, batching strategies, and Dynamo-based disaggregated serving. • Architect and operate MLOps pipelines covering model lifecycle, registries, deployment, rollback, and observability. • Design and engineer RAG applications on top of vector databases. • Build and tune prompt-engineering patterns at production scale. • Engineer high-performance storage and networking for AI workloads. • Operate Kubernetes clusters underpinning AI workloads. • Build and maintain container images, registries, and CI/CD pipelines for AI/ML services. • Implement monitoring, alerting, logging, and capacity planning across the AI stack. • Harden environments to meet client security and compliance requirements. • Lead troubleshooting across various environments and technologies. • Engage directly with client stakeholders — technical and executive — to communicate status, root cause, options, and recommendations. • Mentor and code-review work from less senior engineers; raise the technical bar of every engagement you join. • Author runbooks, reference architectures, and knowledge base content; lead client knowledge transfer and enablement sessions. • Participate in on-call rotation and incident response for production AI workloads. • Contribute reusable patterns, tooling, and reference designs back to the practice.

• Perform remote support with various customers to implement and support Palo Alto firewalls and Cisco-based networks • Implement, troubleshoot, and document enterprise networks and related systems • Implement, manage Palo Alto firewalls • Provide knowledge transfer and informal training to clients

• Supports projects as a mid-to-senior team member with direction from a project lead and complies with the BlueAlly quality of delivering services • May be part of a bigger delivery team and lead specific areas of a project related to the person’s expertise • Provide engineering support and technical expertise across multiple projects aligned with client needs. • Contribute to continuous improvement initiatives and help ensure adherence to quality and compliance standards. • Ability to create technical written documentation independently and to deliver briefings to client stakeholders in a roundtable setting in areas relating to the person’s expertise • Escalation of project impacting issues to the Delivery Directors or other appropriate leadership • Develop and maintain Python-based automation tools and scripts to streamline network provisioning, configuration management, and troubleshooting across a multi-vendor environment. • Build integrations between network platforms (Cisco SD-WAN, Meraki, Palo Alto Panorama, zScaler) and centralized management and monitoring systems. • Manage and extend NetBox as the network source of truth, including custom scripts, plugins, and API integrations. • Automate IPAM/DDI workflows across platforms such as Infoblox and Microsoft DHCP. • Create automation workflows that allow operations teams to execute changes safely and repeatably. • Develop automated compliance checks, configuration audits, and drift detection across the network estate. • Collaborate with stakeholders to identify automation opportunities and translate operational pain points into reliable, maintainable code. • Contribute to internal documentation, runbooks, and knowledge sharing around automation tooling and best practices.

• Design, build, and operate scalable and high performance cloud infrastructure on AWS • Manage infrastructure as code using Terraform, Terragrunt, and CloudFormation • Build immutable infrastructure with Packer • Develop and maintain CI/CD pipelines using GitLab CI/CD • Operate containerized workloads across: Amazon EKS, Docker on EC2, Singularity (Apptainer) for HPC workloads • Configure systems using Ansible • Design and operate high throughput cloud and HPC storage solutions • Monitor, troubleshoot, and optimize platforms for performance, reliability, and cost • Document architectures and operational best practices