Staff Engineer, Core – MLOps

🕒 October 1

🇵🇹 Portugal – Remote

💵 €100k - €115k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 4%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 45 days.
• Jobs at this company usually fill in 35 days.

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Zyte

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

💼 Consulting

📦 Logistics

📣 Marketing

💰 $3M Debt Financing on 2021-12

Consulting • Logistics • Marketing

Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.

📋 Description

• Architect and advance the control plane, including service registry, schema registry, SLO enforcement, and CLI tooling • Design and build the context plane to aggregate operational signals and create automated feedback loops for self-healing maintenance • Own the multi-language service chassis and golden path, including Java and Python client libraries, workload specifications, Helm charts, and deployment pipelines • Define gRPC and Protocol Buffer inter-service contracts, API gateway transcoding, versioning policies, and schema evolution rules • Operate the platform substrate across Kubernetes, Terraform, ingress infrastructure, Kafka, billing pipelines, Valkey, and database modernization initiatives • Lead Requests for Discussion on workflow orchestration, gateway orchestration, multi-cluster routing, and automated failover • Establish SLOs and error budgets, health-aware traffic isolation, and automated weighted canary deployments • Participate in shared infrastructure on-call rotation and lead incident post-mortems • Mentor engineers across squads, review system proposals, and establish engineering best practices • Serve as technical lead for the Core & MLOps squad and influence architecture and release velocity across five neighboring squads

🎯 Requirements

• 10+ years of experience building scalable distributed backend systems • Proven track record of authoring internal platforms or core libraries widely adopted by engineering teams • Expertise in Java, using reactive frameworks such as Vert.x or Netty • Strong proficiency in Python • Deep gRPC and Protocol Buffers experience • Experience managing schema evolution and backward compatibility in mission-critical environments • Hands-on production Kubernetes expertise at scale • Experience with Terraform and event streaming with Kafka • Experience designing automated telemetry pipelines, materialized views, or feature stores that dynamically adapt system behavior based on production data • Proven success defining SLOs/SLIs, analyzing blast radius, and designing fault-tolerant systems built around rigorous service contracts • Exceptional technical writing skills • Strong interpersonal and written communication skills for a globally distributed, remote-first environment • Experience with Java 21, Helm, CircleCI, OCI, GCP, Hetzner, Servers.com, Confluent Kafka, BigQuery, Valkey, MySQL/PostgreSQL, HBase, Google Pub/Sub, Prometheus, Grafana, Loki, and OpenTelemetry • Bonus: experience with Temporal, DBOS, model serving, performance monitoring, drift detection, SPIRE, mTLS, Cilium, Istio, Envoy, CLIs, SDKs, project generators, web scraping/crawling, or open-source contributions

🏖️ Benefits

• Freedom and flexibility to work from where you do your best work • Flexible working hours • Attend conferences and meet with team members from across the globe • Work with cutting-edge open source technologies and tools • Remote-first culture • Continuous innovation and complex technical challenges • Global community and collaboration with distributed systems engineers and data specialists across the world

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