Browse remote Kubernetes opportunities and confirm accepted candidate locations before applying.
This page focuses on remote roles with visible candidate-location eligibility for developers, engineers, DevOps, data, QA, support, and other IT professionals.
Use Kubernetes as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
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.
MongoDB · Solutions Consulting, Growth EMEA
5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role
MongoDB · Solutions Consulting, Growth EMEA
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,
Enfuce · Data Science
Design, build, and maintain scalable MLOps infrastructure for machine learning and Generative AI applications.
Orcrist Technologies · Data Science
Prototype ingestion and connector patterns (batch + streaming) using NiFi, Kafka, Kafka Connect/Streams, and CDC approaches.
Booksy · Developer
Foundational Platform Experience: 4+ years of hands-on experience in data platform, infrastructure, SRE, or backend/DevOps engineering.
Orcrist Technologies · Developer
Ship React/TypeScript map workspace features (layers, annotations, timelines, overlays).
GROPYUS · Data Science
Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers
Tinybird · Developer
Enhancing high availability and elasticity so the system can scale automatically and efficiently as our customer base grows. It should make capacity decisions transparently and safely, without manual intervention.
FYST · Data Science
Design the target-state data architecture: Postgres CDC → Kafka → Snowflake → client-facing data products.
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
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).
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.
Start with a keyword, then narrow by stack or candidate location.