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Cloud and Compute Platform Engineer
Build and operate cloud-native infrastructure and developer platforms at scale, focusing on Kubernetes, containers, and distributed systems to enable Target’s engineering teams.
Mulesoft Architect
Designs and maintains MuleSoft integrations and APIs using Anypoint Platform, Java/Spring Boot, and cloud-native tools to enable scalable backend connectivity and modernization.
Senior Data Scientist (m/w/d) - Chemical Engineering & Verfahrenstechnik
Design and build AI/ML solutions for chemical and manufacturing clients, including time-series models, anomaly detection, and generative AI systems, deployed on cloud platforms.
Banco de Talentos: Backend NodeJs.
Backend developer building and maintaining Node.js services for an education-tech platform, using AWS, microservices, and CI/CD pipelines.
Banco de Talentos: Data Platform Engineer
Senior data engineer builds and maintains a data platform for a Brazilian education company, using distributed processing, cloud infrastructure, and modern data stack tools.
Data Platform Engineer II
Designs and builds scalable data pipelines and platforms for an edtech company, using cloud-native tools and AI-driven workflows to support analytics and learning solutions.
Machine Learning Engineer
Machine Learning Engineer (hybrid, Warsaw) building production-grade Python ML applications, MLOps pipelines on GCP/Azure, model-serving systems, and GenAI/LLM deployments for Harvey Nash Technology's clients.
Application Developer/Systems Engineer
Develop and deploy infrastructure automation and configuration management solutions across Linux/Windows environments using Puppet, Docker, Kubernetes, and CI/CD pipelines, with hands-on ownership of infrastructure architecture and deployment orchestration.
Senior DevOps Engineer
Senior DevOps Engineer designing and implementing scalable infrastructure-as-code solutions, optimizing AWS cloud services, and supporting containerized/serverless workloads for a healthcare data exchange company.
HPC Platform Engineer
Designs, maintains, and optimizes hybrid on-premise/cloud HPC platforms for scientific/AI workloads, focusing on Linux infrastructure, job scheduling, and automation to ensure high availability and performance.
Full Stack Developer
Full Stack Developer building and scaling BrainPOP's educational platform using PHP (Laravel) and Vue.js, with a focus on integrating AI/LLM capabilities into the product.
Technical Implementation Manager
Role Overview The Technical Implementation Manager will own end-to-end technical delivery for every Sentinel deployment, guiding customers from technical qualification through POC and rollout. This person will be…
Data Engineer
Design, build, and maintain scalable ETL/ELT data pipelines to transform raw data into insights for analytics/business teams, using Python, SQL, and tools like Airflow/Prefect/Dagster in a cloud data stack (Snowflake/BigQuery/AWS Redshift/Databricks).
Backend Engineer (DotNet) - Pune
Build and maintain scalable backend services and REST APIs in .NET/C# for a B2B travel platform, focusing on reliability, security and transaction processing.
Engineering Manager (m/f/d) - Berlin
Location : Come and join us in Berlin! Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for an Engineering Manager to lead a high-performing team of…
BACKEND DEVELOPER – TAG APPLICATION
c’è sempre spazio per le persone che hanno un talentoda sviluppare e un obiettivo da raggiungere. GRAF ENTERPRISE , software house del gruppo GRAF Industries , ricerca un Backend Developer da inserire nel team backend…
Application Security Engineer
Application Security Engineer at Contentsquare in Barcelona working on securing SaaS applications through security audits, code reviews, and vulnerability management. Core technologies include NestJS, Vue.js, Angular, Snyk, Datadog ASM, AWS, Azure, Kubernetes, and Terraform.
Lead AI/ML Engineer
Lead AI/ML Engineer designing and deploying production AI/ML applications in AWS for federal initiatives, combining hands-on Python/ML engineering with technical strategy, MLOps, and client engagement.