Platform Engineering Team Lead - Remote

Zyte; Barcelona; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Completely remote work

Work with cutting-edge open-source

Global, diverse team

Job summary

Zyte is seeking an experienced Team Lead to manage the Core & MLOps Squad, building scalable infrastructure that powers Zyte's data tools at scale. You will lead a cross‑functional team across MLOps, systems programming, and orchestration, designing and maintaining a secure, multi‑tenant model platform with robust serving patterns and monitoring.

You will drive roadmap, mentor engineers, and set high standards for reliability, cost governance, and platform adoption.

Qualifications

• 5+ years experience building distributed systems.
• 3+ years in MLOps/ML platform engineering (or equivalent impact).
• Deep understanding of Kubernetes (bonus: Mesos).
• Demonstrated success leading technical teams and implementing organization-wide platform solutions.

Responsibilities

• Design and evolve the core platform (Kubernetes, Mesos, GPU scheduling/autoscaling, distributed compute).
• Own the model platform: registry, experiment tracking, training orchestration, evaluation, serving, and monitoring.
• Build the Golden Path: reference repos, a scaffold CLI, CI/CD pipelines, runtime contracts, high-performance clients, and production-ready defaults.
• Operate a secure, multi-tenant model registry and training platform with standardized harnesses; provide turnkey serving patterns and monitoring.

Skills

Distributed systems

MLOps

Kubernetes

Programming languages

Team leadership

SRE practices

Tools

Java

Go

Rust

Python

Job description

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Zyte is seeking an experienced Team Lead to manage our Core & MLOps Squad, responsible for “Building the bedrock infrastructure that powers Zyte at scale.” This hands‑on technical leadership role requires expertise across MLOps, systems programming, and orchestration to lead a cross‑functional team in designing and maintaining the scalable foundation that enables all Zyte teams to build and run their services with confidence.

Requirements

What you’ll do

Technical Leadership

• Design and evolve the core platform (Kubernetes, Mesos, GPU scheduling/autoscaling, distributed compute)Own the model platform: registry, experiment tracking, training orchestration, evaluation, serving, and monitoringBuild the Golden Path: reference repos, a scaffold CLI, opinionated CI/CD pipelines, runtime contracts (health/metrics/tracing/SLOs), high-performance clients, circuit breakers and other production‑ready defaults

MLOps Excellence

• Operate a secure, multi‑tenant model registry and training platform with standardized experiment/evaluation harnessesProvide turnkey serving patterns (online + batch), drift/quality monitoring, and rollback playbooksIntegrate public/open‑source AI capabilities as managed platform services with cost and data‑governance guardrails

Team Management

• Run the squad: roadmap/prioritization, delivery, mentoring, and high engineering standardsPartner with product engineering (Zyte API, Scrapy Cloud), Prod Ops, and Security on adoption and rollout plansMentor the team and foster a platform-thinking mindset

Ownership Areas

• Container orchestration (Kubernetes/Knative), GPU provisioning & autoscaling, environment & secret management Operators, sidecars, and internal SDKs/libraries (Go/Rust/Python/Java) that enforce the golden path contractModel platform: registry, experiment tracking, training orchestration, evaluation framework, serving infra, model monitoringObservability: logging/metrics/tracing pipelines;Billing pipeline: metering/events/cost tracking abstractions Golden Path: Java, Python, ML templates + CI/CD blueprints + docs + scaffold CLIReliability enablement (SRE practices), cost governance, supply‑chain security (SBOM, image signing)

Qualifications

Required

• 5+ years experience building distributed systems; 3+ years in MLOps/ML platform engineering (or equivalent impact)Knowledge of Linux/OS internals (process model, cgroups/namespaces), networking (TCP/IP, HTTP/2), concurrency, and performance profilingDeep understanding of Kubernetes (bonus: Mesos)Proficiency developing high-performance services in Java, Rust, Go or C++ (bonus: familiarity with vert.x and Netty frameworks); strong Python skillsExperience with GPU infrastructure (scheduling, containerization, optimization)Track record of designing and operating model platforms (registry, training, serving, monitoring) in productionDemonstrated success leading technical teams and implementing organization‑wide platform solutions

Preferred

• Streaming & workflows: Kafka plus Argo/Temporal/Airflow or equivalentseBPF‑based observability, perf tooling, or io_uring experienceCost optimization for ML/AI; multi‑tenant quotas and fairnessHands‑on experience authoring Golden Paths (service chassis/templates, CI/CD blueprints, CLI scaffolds)SRE practices (SLIs/SLOs, incident management)

Benefits

• We love fostering and nourishing new ideas and bringing them to marketBecome part of a self‑motivated, progressive, multi‑cultural teamHave the freedom and flexibility to work from where you do your best work, as we are a completely remote companyGet the chance to work with cutting‑edge open‑source technologies and tools