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Data Engineer II - Street Data
Builds and maintains ETL pipelines to process global street data, enabling accurate routing and transportation network datasets using Python, SQL, and cloud tools.
Data Engineer
Build and maintain ML pipelines, deploy models, and curate data for analytics using Python, PySpark, SQL, and MLOps tools to support insurance-focused AI solutions.
Python & Database Developer
Builds Python-based data pipelines and AI services, designs LLM solutions, and writes SQL queries for a fintech-focused product team.
Core java, Apache Spark, Python Developer
Develops scalable server-side applications and data processing systems using Core Java, Apache Spark, and Python, with expertise in SQL, Linux, and distributed data architectures.
lululemon Senior Software Engineer - Dev Ops Retail Services
Senior DevOps engineer builds and secures Kubernetes-based retail services, automates CI/CD pipelines, and optimizes cloud costs for lululemon’s e-commerce platform.
Senior Software Engineer - Dev Ops Retail Services
Senior DevOps engineer building and operating scalable retail systems using Kubernetes, GitLab CI/CD, Kafka, and IaC tools like Terraform to support lululemon’s ecommerce platform.
Fullstack Engineer
Build subscription management features using Node.js/React/Next.js, integrate with billing platforms and TV ecosystems, and maintain real-time event processing via webhooks and Firebase.
Fullstack Developer
Builds full-stack AI applications and developer tools for an agency, integrating LLMs, vector DBs, and cloud-native stacks to deploy AI solutions for clients.
Software Engineer
Build and maintain Java-based banking applications using Kubernetes, Kafka, and CI/CD pipelines for a core banking environment.
AI/ML Engineer (Remote)
AI/ML Engineer designing and deploying GenAI, RAG, agentic frameworks, and ML models on Luma's fintech platform, using Python, ML libraries, vector databases, and optionally AWS SageMaker/Bedrock.
DevOps Tech Lead
Lead DevOps escalations for a global AI-driven enterprise planning platform, diagnosing cloud and CI/CD issues and guiding resolution across AWS/Azure/GCP and Kubernetes environments.
DevOps Engineer
Senior DevOps Engineer designs, builds, and maintains cloud infrastructure and CI/CD pipelines using AWS/Azure/GCP, Terraform, Docker, and Kubernetes to enable reliable, secure software delivery in an enterprise environment.
Senior Backend Developer
Design and build scalable Python backends with FastAPI, integrate AI workflows using LangChain/LangGraph, and create interactive Streamlit apps while mentoring teams and advising clients.
Senior Full Stack Developer
Build full-stack apps with React/Next.js frontends and Python/FastAPI backends, lead teams, and mentor developers while integrating AI-driven features for client projects.
Data Engineer (Snowflake/Azure) - Remote - valència
Design and build scalable cloud data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
Senior Data Engineer I
Senior Data Engineer builds and maintains scalable, reliable data pipelines and AI infrastructure for a global payments platform, using Terraform, Python, dbt, and streaming tools like Pub/Sub and Flink.
Senior DevOps/IAC Engineer
Leads IaC architecture and DevOps practices for a client project, designing Terraform/Ansible automation and CI/CD pipelines to deploy secure, reproducible infrastructure across hybrid environments.
Infrastructure Engineer/DevOps Engineer
Build and maintain cloud-native infrastructure and CI/CD pipelines for simulation and modeling tools in a DevOps role, using Azure, Kubernetes, Terraform, and Python.
Associate Software Engineer - Integrations (Remote)
Build and maintain automated data pipelines and integrations between internal systems, APIs, and partners using JavaScript/TypeScript, Node.js, or Python and GitHub Actions.
AI Platform Engineer (Cloud)
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.