Siteup

Technical Recruiter

• Own Full-Cycle Recruitment: Manage the entire hiring process — from intake call with hiring managers to offer negotiation — for technical positions (Cloud Engineer, ML Engineer, Software Architects, etc.).
• Advanced Sourcing & Pipeline Building: Build and maintain a consistent pipeline of qualified candidates using LinkedIn Recruiter, Boolean search, and other sourcing channels, specifically targeting the US/Canadian tech talent market.
• Technical Screening: Conduct initial screening interviews that go beyond resume-matching — validate technical background, seniority level, and role fit before presenting candidates to hiring managers.
• Maintain the "Trusted Advisor" Standard: Filter out unqualified or poorly-matched candidates before they reach the client. Ruthlessly protect the client relationship by only submitting candidates who genuinely fit the role.
• ATS & Pipeline Management: Keep candidate data clean, updated, and properly tagged in the ATS — status changes, notes, and next steps must be accurate and current at all times.
• Client & Hiring Manager Coordination: Manage expectations, share market feedback, and adjust search criteria in real time based on hiring manager input.
• Offer Management & Closing: Handle offer negotiation, counter-offer conversations, and candidate closing with a high placement success rate.

IT Recruiter

Business Development Rep

• Execute Targeted Outbound Campaigns: Run personalized outbound sequences across email and personal LinkedIn profiles based on our established playbooks.
• Target Research: Research and identify high-fit accounts and contacts within our defined Ideal Customer Profile (ICP), focusing on highly tailored messaging for technical buyers.
• Lead Generation: Book qualified discovery calls with technical decision-makers at US and EU companies.
• Data Analysis & Optimization: Monitor and analyze campaign performance metrics (open rates, reply rates, and conversion to booked calls) inside HubSpot and Apollo to identify bottlenecks.
• Iterative Refinement: Test, iterate, and document minor sequence variations to steadily improve outbound performance based on real-world data.
• Autonomous Reporting: Bring your numbers directly to weekly 1:1s, providing data, asking questions, and offering clear updates on what is converting.

Mid-Senior SDR/BDR Specialist

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

IT Recruiter

Mid-Senior SDR/BDR Specialist

Senior Cloud & DevOps Engineer, AWS

Network Infrastructure Specialist, Part-Time

Senior Talent Acquisition Partner

MLOps Engineer – Hourly and Full time