
11 - 50 employees
đŻ Recruiter
đ„ HR Tech
âïž SaaS
Recruitment âą HR Tech âą SaaS
Wizdaa is a company that provides access to top-tier remote developers, specializing in helping startups build their dream development teams in the U. S. time zone. They offer a meticulous six-stage human and AI screening process to ensure access to the top 1% of engineering talent. Wizdaa's services include managing hiring processes, onboarding, payroll, benefits, and taxes, allowing startups to focus on core business matters. Known for competitive rates averaging $30/hour, Wizdaa emphasizes cultural fit, technical excellence, and English fluency among their developers. The company prides itself on delivering tailored, cost-effective solutions that maximize startups' runway and success. They also offer insights into leveraging AI tools and aligning remote teams with U. S. time zones to boost productivity.
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11 - 50 employees
đŻ Recruiter
đ„ HR Tech
âïž SaaS
Recruitment âą HR Tech âą SaaS
Wizdaa is a company that provides access to top-tier remote developers, specializing in helping startups build their dream development teams in the U. S. time zone. They offer a meticulous six-stage human and AI screening process to ensure access to the top 1% of engineering talent. Wizdaa's services include managing hiring processes, onboarding, payroll, benefits, and taxes, allowing startups to focus on core business matters. Known for competitive rates averaging $30/hour, Wizdaa emphasizes cultural fit, technical excellence, and English fluency among their developers. The company prides itself on delivering tailored, cost-effective solutions that maximize startups' runway and success. They also offer insights into leveraging AI tools and aligning remote teams with U. S. time zones to boost productivity.
âą Build and operate model and inference serving infrastructure âą Own the ML deployment lifecycle âą Operate agentic and LLM workloads in production âą Build reproducible, automated ML pipelines âą Extend infrastructure-as-code to ML systems âą Operate GitOps for ML workloads âą Run ML and AI workloads on multi-tenant Kubernetes âą Own ML reliability and observability âą Drive ML cost efficiency
âą 5+ years in platform engineering, SRE, MLOps, or infrastructure âą Hands-on experience deploying and operating ML or AI workloads in production âą Strong SRE/DevOps foundation âą Deep IaC expertise âą Strong GitOps background âą Deep Kubernetes knowledge âą Strong AWS background âą Experience building and operating CI/CD pipelines âą Automation-first thinking âą Active user of agentic coding tools âą Strong communicator
âą Health insurance âą Flexible work arrangements âą Professional development opportunities
Apply Nowđ„ 7 minutes ago
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