Core & ML Ops Team Lead - Remote

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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.

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 monitoring
• 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 harnesses
• Provide turnkey serving patterns (online + batch), drift/quality monitoring, and rollback playbooks
• 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 standards
• Partner with product engineering (Zyte API, Scrapy Cloud), Prod Ops, and Security on adoption and rollout plans
• Mentor the team and foster a
  - 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 contract
• Model platform: registry, experiment tracking, training orchestration, evaluation framework, serving infra, model monitoring
• Observability: logging/metrics/tracing pipelines
• Billing pipeline: metering/events/cost tracking abstractions
• 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 profiling
• 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 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
  - wide platform solutions

Preferred

• Streaming & workflows: Kafka plus Argo/Temporal/Airflow or equivalents
• e
  BPF‑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