Core & Ml Ops Team Lead - Remote

Core & Ml Ops Team Lead - Remote
Viseu
Viseu, Viseu District, Portugal

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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. Team Lead – Core & MLOps Squad
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. 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
- Build the Golden Path: reference repos, a scaffold CLI, opinionated CI/CD pipelines, runtime contracts (health/metrics/tracing/SLOs),
- 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
- Provide turnkey serving patterns (online + batch), drift/quality monitoring, and rollback
- Integrate 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
- Partner with product engineering (Zyte API, Scrapy Cloud), Prod Ops, and Security on adoption and rollout
- Mentor the team and foster a
- thinking mindset
Ownership Areas- Container orchestration (Kubernetes/Knative), GPU provisioning & autoscaling, environment & secret
- Operators, sidecars, and internal SDKs/libraries (Go/Rust/Python/Java) that enforce the golden path
- Model platform: registry, experiment tracking, training orchestration, evaluation framework, serving infra, model
- Observability: logging/metrics/tracing
- Billing pipeline: metering/events/cost tracking
- Golden Path: Java, Python, ML templates + CI/CD blueprints + docs + scaffold CLI- 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
- Deep understanding of Kubernetes (bonus: Mesos)- Proficiency developing
- performance services in Java, Rust, Go or C++ (bonus: familiarity with vert. X and Netty frameworks);



strong Python
- Experience with GPU infrastructure (scheduling, containerization, optimization)- Track record of designing and operating model platforms (registry, training, serving, monitoring) in
- Demonstrated success leading technical teams and implementing
- wide platform solutions
Preferred- Streaming & workflows: Kafka plus Argo/Temporal/Airflow or
- e
BPF‑based observability, perf tooling, or io_uring
- Cost optimization for ML/AI;



multi‑tenant quotas
- 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
- Become part of a self‑motivated, progressive, multi‑cultural
- Have the freedom and flexibility to work from where you do your best work, as we are a completely remote
- 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#J-18808-Ljbffr