Veja oportunidades remotas de Kubernetes e confirme locais aceitos antes de aplicar.
Esta página reúne vagas remotas com elegibilidade de localização visível para profissionais de desenvolvimento, dados, DevOps, QA, suporte e outras áreas de TI.
Use Kubernetes como filtro de stack sem alterar os nomes originais dos cargos, comparando senioridade, países aceitos e prontidão para aplicação.
Affirm · Financial Platforms - Engineering
Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.
Affirm · Financial Platforms - Engineering
Own and deliver strategic outcomes: Drive the definition and delivery of quarterly and long-term goals, ensuring your team’s work ladders up to company-wide objectives.
MongoDB · Solutions Consulting
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.
Canonical · Field Engineering
Work across the entire Linux stack, from kernel, networking, storage, to applications,
Rush Street Interactive · Data Science
Maintain and enhance the Snowflake data platform and data pipelines, leveraging AI-assisted development tools to improve efficiency, reliability, and maintainability.
Orcrist Technologies · Data Science
Build ML prototype vertical slices that connect ingest/processing to inference and visible product outcomes (search, insights, UX flows).
MotherDuck · Engineering
Own and evolve our Kubernetes platform, including cluster architecture, upgrades, multi-tenancy, and workload isolation
Damia Group · Data Science
3-5 years of experience as a Data Engineer / MLOps Engineer
NeueHealth
Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
DoiT International
System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
Sparteo
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
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