Siteup

• Support and maintain a secure, scalable, and high-performing multi-tenant network environment • Implement customer networking solutions • Maintain infrastructure reliability • Support governance and documentation standards across the organization

• Deploying Principal-Vetted talent directly into our partners' technical teams • Operating as an agile, embedded expert to drive critical initiatives forward rapidly

• Design, deploy, and manage containerized workloads using Amazon ECS (Elastic Container Service) and Amazon EKS (Elastic Kubernetes Service). • Build and maintain CI/CD pipelines to automate software delivery workflows. • Develop and manage Docker container images, registries (ECR), and container lifecycle best practices. • Implement Infrastructure as Code (IaC) using tools such as Terraform, CloudFormation, or CDK. • Monitor, troubleshoot, and optimize cloud infrastructure performance, availability, and cost. • Enforce security best practices across containerized environments (IAM roles, network policies, secrets management). • Collaborate with software engineers to containerize applications and migrate workloads to ECS/EKS. • Manage Kubernetes cluster configurations, namespaces, Helm charts, and service mesh integrations. • Define and maintain observability standards using tools like CloudWatch, Prometheus, Grafana, or Datadog. • Participate in on-call rotations and incident response processes.

• Design and maintain end-to-end ML pipelines from data ingestion to model deployment • Operate model registries, feature stores, and experiment tracking (MLflow, W&B) • Build scalable model serving infrastructure on Kubernetes and cloud platforms • Implement CI/CD workflows for ML models, including testing and rollback strategies • Monitor production models — drift detection, alerting, and retraining pipelines • Collaborate with data scientists and platform engineers to ship ML solutions faster

• Full-Cycle Recruitment & Sourcing Strategy • Conduct deep-dive sessions with customers to clarify requirements • Track response rates and adapt outreach messages • Research and identify talent pools for specific tech stacks • Actively headhunt and source passive talent • Conduct initial HR screens focused on soft skills • Serve as the primary point of contact for candidates • Manage scheduling and logistics of technical interviews • Confirm offer details with direct managers and oversee delivery of offer letters • Guide new hires through system logins and establish communication rules • Perform periodic check-ins with staffed candidates • Maintain a clean and updated ATS/database/CRM

• Support and maintain a secure, scalable, and high-performing multi-tenant network environment • Implement customer networking solutions • Maintain infrastructure reliability • Support governance and documentation standards across the organization

• Drive critical initiatives forward rapidly as part of an agile, embedded expert team • Deploy Principal-Vetted talent directly into partner technical teams • Participate in high-level engineering efforts to simplify cloud growth

• Design and build advanced, interactive QuickSight dashboards and automated report-generation pipelines. • Write and optimize complex SQL queries specifically tailored for high-performance reporting use cases. • Deploy, manage, and scale reporting infrastructure using AWS CDK. • Integrate QuickSight with Amazon Aurora databases, ensuring efficient data retrieval and synchronization.

• Ensure quality and stability throughout the migration from Google App Engine to Amazon ECS • Design and execute test strategies that validate every stage of the migration while keeping existing services running smoothly • Build and maintain automated test suites • Collaborate with developers and infrastructure engineers to define acceptance criteria • Triage defects and verify that migrated services perform as expected in their new ECS environment

• Design and implement end-to-end data architecture solutions using Microsoft Fabric • Define data models, data lakes, warehouses, and lakehouse architectures • Lead the design of scalable, secure, and high-performance data pipelines • Collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions • Establish data governance, data quality, and security standards • Optimize data storage, processing, and retrieval for performance and cost-efficiency • Provide technical leadership and mentorship to engineering teams • Evaluate and integrate new tools and technologies within the Microsoft ecosystem • Ensure compliance with data regulations and best practices