Roles remotos de Spark con elegibilidad clara.

Build, test, and maintain data ingestion, transformation, and pipeline code that turns raw and synthetic data into governed, analysis-ready data products.

• Senior
• AWS
• Azure
• CI/CD
• +5

Develop, train, and evaluate ML models (classification, regression, clustering, anomaly detection) and contribute to LLM-based capabilities such as RAG pipelines and prompt evaluation.

• Middle
• CI/CD
• Docker
• LLM
• +5

High-touch white-glove onboarding

• Middle
• Docker
• Kubernetes
• Python
• +1

Liderar a instrumentação ponta a ponta de métricas (infraestrutura e aplicação), logs estruturados e tracing distribuído, garantindo visibilidade do ecossistema.

• Senior
• AWS
• Docker
• Java
• +3

Design, deploy, and manage cloud infrastructure across

• Middle
• AWS
• Azure
• CI/CD
• +5

Design and implement the orchestration layer that turns natural-language intent into reliable execution.

• Senior
• REST
• Spark

Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.

• Kubernetes
• Spark

Build and own the platform that powers all of Spacelift - from CI/CD to observability to incident response

• Senior
• AWS
• CI/CD
• PostgreSQL
• +1

Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution

• Senior
• AWS
• CI/CD
• Python
• +2

Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.

• Senior
• AWS
• CI/CD
• Docker
• +5

Platform Modernization & Legacy Replacement – Reducing reliance on legacy systems through scalable service development

• Senior
• Azure
• CI/CD
• Python
• +3

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

• Lead
• Kubernetes
• Python
• Spark

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

• Lead
• Kubernetes
• Python
• Spark

Lead reliability initiatives across multiple Ads domains including ad serving, auctions, targeting, reporting, measurement, and billing.

• Lead
• Kubernetes
• Python
• Spark

Identify patterns of failure across the organisation. Analyse incidents and post-incident reviews to find the recurring technical root causes behind customer impact, rather than treating each incident as a one-off.

• Senior
• AWS
• Azure
• Java
• +3

End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.

• Senior
• AWS
• REST
• Snowflake
• +2

Multi-cloud capacity management

• CI/CD
• Kubernetes
• Spark

Build and maintain data pipelines that generate training datasets for machine learning models and experimentation

• Junior
• Python
• Spark

Design, build, and operate distributed, data-intensive backend systems that power Data Platform capabilities across Experimentation, Metrics, Release Guardian, Observability, Agent Control, and other product areas.

• Senior
• Python
• Spark
• SQL

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

5+ years of relevant experience

• Senior
• AWS
• Azure
• Kubernetes
• +2

Continuously monitor Claude and ChatGPT product roadmaps, release notes, and vendor communications to anticipate platform changes before they land

• Lead
• CI/CD
• GCP
• Python
• +3

Continuously monitor Claude and ChatGPT product roadmaps, release notes, and vendor communications to anticipate platform changes before they land

• Lead
• CI/CD
• GCP
• Python
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams.

• CI/CD
• Salesforce
• Snowflake
• +1

Experience managing software, infrastructure, platform, or SRE teams.

• Lead
• CI/CD
• Kubernetes
• Snowflake
• +1

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• Middle
• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.

• Middle
• AWS
• Azure
• CI/CD
• +4

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

• Middle
• Azure
• Python
• Spark
• +1

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.

• Senior
• AWS
• CI/CD
• Docker
• +9

Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.

• Senior
• AWS
• Azure
• CI/CD
• +7

Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML

• Senior
• Azure
• CI/CD
• LLM
• +3

• AWS or other cloud certifications • Experience with Agile methodologies (Scrum/Kanban) • Knowledge of databases (Oracle or other RDBMS) and data migration tools • Exposure to big data technologies like Hadoop or Spark • Experience

• Senior
• AWS
• Azure
• Docker
• +3

Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient

• Senior
• AWS
• Azure
• CI/CD
• +9

End to end ownership of our database and data warehousing infrastructure, its KPIs and its SLAs, including MySQL, Postgres, CDC capture, and Redshift.

• Senior
• AWS
• CI/CD
• Golang
• +8

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Senior
• AWS
• Azure
• CI/CD
• +7

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

• Lead
• AWS
• Azure
• CI/CD
• +7

Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

• Middle
• AWS
• CI/CD
• Docker
• +7

Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms.

• AWS
• CI/CD
• GCP
• +1

Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.

• AWS
• Azure
• CI/CD
• +4

Strategic Technical Discovery: When you are pulled into complex deals, you join as the expert closer. You run deep discovery on their stack and constraints, then design the winning technical strategy.

• AWS
• Azure
• CI/CD
• +4

Become the subject-matter expert for Block's online data projections and event-streaming capabilities — designing the platform, frameworks, and standards others build on

• Senior
• AWS
• Snowflake
• Spark

Define the architecture and contracts governing how models move from development to production — feature store design, model schema management, online/offline inference consistency, and multi-version support.

• Lead
• Java
• Python
• Spark

Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.

• Lead
• AWS
• Python
• Snowflake
• +2

Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.

• Lead
• AWS
• Python
• Snowflake
• +2

Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more

• Lead
• GCP
• Kubernetes
• Python
• +1

7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale

• Lead
• Spark

Design and build large-scale offline ML experimentation platforms that enable reproducible research, model development, evaluation, and promotion workflows.

• Senior
• Spark

Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more

• Senior
• GCP
• Kubernetes
• Python
• +1

Influence technical strategy: Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance

• Lead
• CI/CD
• Python
• REST
• +3

Influence technical strategy: Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance

• Lead
• CI/CD
• Python
• REST
• +3

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

• Lead
• AWS
• CI/CD
• Python
• +4

Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.

• Lead
• AWS
• CI/CD
• Python
• +4

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly

• Lead
• Kubernetes
• Spark

You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly

• Lead
• Kubernetes
• Spark

Drive Revenue Growth

• Lead
• Spark

Drive Revenue Growth

• Lead
• Spark

Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams

• Senior
• Java
• Python
• Snowflake
• +2

Lead the design and implementation of internal SDKs and self-service frameworks that enable distributed engineering teams to ingest and transform data autonomously.

• Senior
• Spark

Baseten Loops beta launch

• Python
• Spark

A curious problem solver who challenges the status quo

• Senior
• Python
• Spark
• SQL

Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps

• Senior
• AWS
• Python
• Spark
• +1

Observability platform engineeringBuild and operate scalable observability and telemetry platforms that process logs, metrics, traces, and events across production environments.

• Senior
• AWS
• CI/CD
• Docker
• +4

Build production ready time series models to predict real time KPIs as well as build optimal decision actions to manage the provider network for clinical operations business optimization

• Senior
• CI/CD
• Python
• REST
• +2

Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals

• Spark

Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make "enterprise-ready" a platform-wide capability, not a deal-by-deal scramble.

• Lead
• Spark

Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fabric, host, GPU, and workload telemetry.

• Kubernetes
• Spark

Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture

• Senior
• AWS
• Azure
• GCP
• +5

Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)

• Middle
• Azure
• CI/CD
• Spark
• +1

einleitung Unser Kunde: Bei uns erwartet dich ein moderner Techstack, spannende Herausforderungen in unterschiedlichen Branchen und ein junges, dynamisches Team, das mit Begeisterung und Teamgeist gemeinsam Ziele erreicht.

• Senior
• CI/CD
• Kubernetes
• Python
• +1

Maintain Ajua’s platform uptime, performance, stability and scalability

• Senior
• AWS
• Docker
• Java
• +2

Rolling Deployments

• Next.js
• React
• Spark
• +1

Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders

• AWS
• JavaScript
• Spark

You will collapse time-to-production — take a developer from first sign-up to a running, maintained production deployment, and drive down the time it takes to get there.

• Lead
• Spark

Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises.

• Lead
• Spark

Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.

• Lead
• CI/CD
• Kubernetes
• Spark

Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.

• Lead
• Spark

Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference

• CI/CD
• Kubernetes
• Spark

Cluster fabric design — Define InfiniBand or Ethernet-based architectures for GPU clusters.

• Spark

Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering orgs, building a culture of ownership, technical excellence, and continuous improvement.

• Lead
• CI/CD
• Kubernetes
• Spark

Model APIs for frontier models

• Lead
• Spark

Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).

• Lead
• Spark

Forward Deployed Engineering on the frontier of AI

• Lead
• Docker
• Python
• Spark

Forward Deployed Engineering on the frontier of AI

• Lead
• Docker
• Spark

Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster.

• Kubernetes
• Python
• Spark

Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning

• Docker
• Kubernetes
• Python
• +1

Forward Deployed Engineering on the frontier of AI

• Docker
• Python
• Spark

Forward Deployed Engineering on the frontier of AI

• Docker
• Python
• Spark

You will own how workloads scale and where they land — autoscaling to demand (up under load, down to zero when idle) and a single placement policy expressing region, compliance regime, and capacity preference

• Lead
• Kubernetes
• Spark

Dense, on-policy or both?

• Kubernetes
• Spark

Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals

• Spark

Help build the foundation and processes for customer-facing teams at Baseten

• Spark

Design and maintain core data models and semantic layers

• Spark

The "Lost Node" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity

• Kubernetes
• Spark

Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations.

• Spark

Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).

• Lead
• Spark

Agentic coding workflows — Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Baseten's monorepo, conventions, and internal libraries.

• Spark

Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.

• Kubernetes
• Python
• Spark

Overview of the product so far

• Kubernetes
• Spark

Performance Benchmarking: Run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse).

• CI/CD
• Python
• Spark

Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving

• Kubernetes
• Spark

Help build the foundation and processes for customer-facing teams at Baseten

• Spark

Overview of the product so far

• AWS
• GCP
• Kubernetes
• +2

Help build the foundation and processes for customer-facing teams at Baseten

• Spark

Fine-grained authorization for users, service accounts, and agentic workloads

• Kubernetes
• Spark

Baseten Embeddings Inference: The fastest embeddings solution available

• AWS
• Spark

Help build the foundation and processes for customer-facing teams at Baseten

• Spark

Create diverse tooling tailored to the needs of different engineering teams.

• CI/CD
• Docker
• Kubernetes
• +2

Multi-cloud capacity management

• Kubernetes
• Python
• Spark

Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.

• Spark

Chains for multi-component workflows

• JavaScript
• Kubernetes
• Python
• +2

Baseten Embeddings Inference: The fastest embeddings solution available

• Docker
• Kubernetes
• Python
• +1

Forward Deployed Engineering on the frontier of AI

• Docker
• Python
• Spark

5+ years of pre-sales experience with enterprise software and technical aptitude

• Lead
• AWS
• Java
• Kubernetes
• +8

Belief – Build technical conviction in Chainguard

• Senior
• AWS
• Azure
• GCP
• +3

Land and expand in our most strategic major target accounts within Banking, Financial Services, Telco, Pharma and other sectors.

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Define and execute sales plans for your assigned territory

• AWS
• Azure
• Docker
• +3

Prospect and identify potential clients across the Benelux region in the security sales market using various lead generation techniques, such as cold calling, emailing, social media outreach, and attending industry events.

• Salesforce
• Snowflake
• Spark

Full-stack application development

• Senior
• AWS
• Azure
• CI/CD
• +14

Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL.

• Senior
• Azure
• CI/CD
• REST
• +2

Work with cross-functional teams in product, data science, sales and finance to achieve business goals and contribute to product strategy Provide mentorship, coaching and career development guidance to members of the team Build and

• Senior
• AWS
• Azure
• CI/CD
• +7

Design, develop, and maintain end-to-end big data pipelines that are optimized, scalable, and capable of processing large volumes of data in real-time and in batch mode

• Senior
• AWS
• Azure
• CI/CD
• +4

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.

• Senior
• Azure
• CI/CD
• Docker
• +3

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

• Senior
• AWS
• Azure
• GCP
• +4

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.

• Kubernetes
• Spark

Design and build data infrastructure that supports large-scale feature and training set computation, transformation, and storage.

• Kubernetes
• Spark

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6

The work we do and the innovation we drive

• Senior
• AWS
• Azure
• CI/CD
• +6