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Platform team lead - remote

Lisboa
Zyte
Anunciada dia 24 outubro
Descrição

Overview

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Zyte is a globally distributed team founded in 2010 with over 250 Zytans across 28+ countries. We build powerful tools to collect, format, and deliver web data to help thousands of organizations extract data for smarter decisions and growth.

We are 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.


Responsibilities

* Technical Leadership
o Design and evolve the core platform (Kubernetes, Mesos, GPU scheduling/autoscaling, distributed compute)
o Own the model platform: registry, experiment tracking, training orchestration, evaluation, serving, and monitoring
o Build 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
o Operate a secure, multi‑tenant model registry and training platform with standardized experiment/evaluation harnesses
o Provide turnkey serving patterns (online + batch), drift/quality monitoring, and rollback playbooks
o Integrate public/open‑source AI capabilities as managed platform services with cost and data‑governance guardrails
* Team Management
o Run the squad: roadmap/prioritization, delivery, mentoring, and high engineering standards
o Partner with product engineering (Zyte API, Scrapy Cloud), Prod Ops, and Security on adoption and rollout plans
o Mentor the team and foster a platform-thinking mindset
* Ownership Areas
o Container orchestration (Kubernetes/Knative), GPU provisioning & autoscaling, environment & secret management
o Operators, sidecars, and internal SDKs/libraries (Go/Rust/Python/Java) that enforce the golden path contract
o Model platform: registry, experiment tracking, training orchestration, evaluation framework, serving infra, model monitoring
o Observability: logging/metrics/tracing pipelines
o Billing pipeline: metering/events/cost tracking abstractions
o Golden Path: Java, Python, ML templates + CI/CD blueprints + docs + scaffold CLI
o Reliability 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 profiling
* Deep 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 skills
* Experience with GPU infrastructure (scheduling, containerization, optimization)
* Track record of designing and operating model platforms (registry, training, serving, monitoring) in production
* Demonstrated success leading technical teams and implementing organization-wide platform solutions


Preferred

* Streaming & workflows: Kafka plus Argo/Temporal/Airflow or equivalents
* eBPF‑based observability, perf tooling, or io_uring experience
* Cost optimization for ML/AI; multi‑tenant quotas and fairness
* Hands‑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 market
* Become part of a self-motivated, progressive, multi-cultural team
* Have the freedom and flexibility to work from where you do your best work, as we are a completely remote company
* Get the chance to work with cutting-edge open-source technologies and tools

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Other

Industries: IT Services and IT Consulting

Referrals increase your chances of interviewing at Zyte by 2x

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