Siteup

DevOps Engineer

• 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.

Senior Cloud & DevOps Engineer, AWS

Infrastructure Engineer

• 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

Network Infrastructure Specialist, Part-Time

Affiliate Manager

• 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

Senior Talent Acquisition Partner

Machine Learning Engineer

• 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

MLOps Engineer – Hourly and Full time

• 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

Senior Cloud & DevOps Engineer, AWS

Network Infrastructure Specialist, Part-Time

Senior Talent Acquisition Partner

MLOps Engineer – Hourly and Full time

AI/ML Engineer, Azure