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Platform Engineering Team Lead - Remote

1 month ago
Poland
Full-time
Lead
Machine Learning Engineer
DevOps and Infrastructure
Apache Airflow C++ CI/CD Docker Go Java Kafka Kubernetes Mesos Microservices Python Rust TCP/IP
Apply Now
Zyte

Zyte

Zyte is a leading provider of Full Stack Web Scraping API and World Class Data Extraction Services. With AI-powered web scraping platform, Zyte offers fast and reliable data extraction solutions for over 2,000 companies and 1 million developers worldwi...

Professional Services
251-1K
Founded 2010
$3M raised
View All Jobs 6

Description

  • Design and evolve the core platform infrastructure including container orchestration, GPU scheduling/autoscaling, and distributed compute.
  • Own the model platform end-to-end: registry, experiment tracking, training orchestration, evaluation, serving, and monitoring.
  • Build and maintain the Golden Path: reference repositories, scaffold CLI, opinionated CI/CD pipelines, runtime contracts, and production-ready defaults.
  • Operate a secure, multi-tenant model registry and training platform with standardized experiment and evaluation harnesses.
  • Provide turnkey serving patterns (online and batch), drift and quality monitoring, and rollback/playbook procedures.
  • Integrate public and open-source AI capabilities as managed platform services with cost and data-governance guardrails.
  • Run the squad: set roadmap and priorities, drive delivery, mentor team members, and uphold high engineering standards.
  • Partner with product engineering, Prod Ops, and Security on platform adoption, rollout plans, observability, billing/metering, and supply-chain security.

Requirements

  • 5+ years experience building distributed systems.
  • 3+ years in MLOps or ML platform engineering (or equivalent impact).
  • Deep understanding of Kubernetes (Mesos experience is a bonus).
  • Strong knowledge of Linux/OS internals (process model, cgroups/namespaces), networking (TCP/IP, HTTP/2), concurrency, and performance profiling.
  • Proficiency developing high-performance services in Java, Rust, Go, or C++ (bonus: familiarity with vert.x and Netty); strong Python skills.
  • Experience with GPU infrastructure including scheduling, containerization, and optimization.
  • Proven track record designing and operating model platforms in production (registry, training, serving, monitoring).
  • Demonstrated success leading technical teams and implementing organization-wide platform solutions.
  • Preferred: experience with streaming and workflows (Kafka, Argo, Temporal, Airflow or equivalents), cost optimization for ML/AI, and multi-tenant quotas/fairness.
  • Preferred: hands-on experience with SRE practices (SLIs/SLOs, incident management), eBPF-based observability, perf tooling, or io_uring.

Benefits

  • Completely remote, flexible work environment — work from where you do your best.
  • Join a progressive, multi-cultural, self-motivated global team.
  • Opportunity to work with cutting-edge open-source technologies and tools.
  • Support for fostering and bringing new ideas to market.

Interested in this position?

Apply directly on the company website

Apply Now

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