Tech jobs
Job listings
Principal Cloud Platform Engineer
Build and maintain the cloud infrastructure that powers SambaNova’s AI inferencing service, ensuring high availability, low latency, and scalable performance across regions.
Java Software Engineer - FinTech
B2B freelance Java backend engineer at Flix (FlixBus) in Warsaw building internal finance applications — revenue accounting, invoice processing, bus partner settlements, and payment reconciliation — using Java, Kafka, AWS, Docker/Kubernetes, and CI/CD tooling.
Senior Software Engineer, W&B Agent - W&B
Senior full-stack engineer building an AI research agent (ARIA) with React/TypeScript frontend and Python backend, handling distributed systems, real-time streaming, and agent workflows.
Staff Software Engineer, Performance- Weights & Biases
A Staff Software Engineer at Weights & Biases focuses on performance engineering, optimizing system scalability and latency for AI development platforms using languages like Go, Python, or TypeScript.
Senior Software Engineer, Performance ( Toronto)
Senior backend engineer on Okta's Platform Scalability team, owning speed, efficiency, and protection of the identity platform: building rate-limiting/traffic-shaping frameworks, monitoring production latency, and profiling bottlenecks across the JVM, MySQL, caching, and AWS/GCP cloud layers, with on-call participation.
Engenheiro(a) de Qualidade Sr | IA + Python
Sobre a oportunidade Estamos em busca de um(a) Engenheiro(a) de Qualidade Sr com sólida experiência em qualidade, IA e desenvolvimento com Python para atuar na evolução de produtos baseados em Inteligência Artificial,…
VP, Middleware Engineer, Technology Group
GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC…
Staff Software Engineer, Monolith Platform
Staff software engineer on GitHub's Monolith Platform team, designing, shipping, and operating highly scalable backend services and APIs for GitHub's core platform. Day-to-day involves coding in languages like Go, Ruby, or Rust, working with distributed systems and CI/CD, writing architecture proposals, and mentoring via code reviews and on-call rotations.
Staff Engineer, Site Reliability
Staff Site Reliability Engineer at Babylist responsible for designing, operating, and scaling AWS infrastructure, Kubernetes clusters, and CI/CD systems to support millions of users and evolving product surfaces.
Senior Site Reliability Engineer
Senior Site Reliability Engineer at Nintex (process intelligence and automation platform). Day to day you own reliability components of the shared platform: building monitoring/alerting and automation, deploying infrastructure as code, managing Kubernetes, reducing toil, writing post-mortems, and joining on-call — hybrid from the Johannesburg office.
Technical Solutions Engineer
You will own the technical integration experience for partners building on Polygon. You will maintain API and integration documentation, create quickstarts and sample applications, support technical sales discussions,…
Site Reliability Engineer
👋 Who are we? Nordhealth (OB:NORDH) is the leading provider of cloud-based Practice Information Management Software (PIMS) to veterinary and therapy professionals. Over the last three years, we have grown our Annual…
Senior Software Engineer
Senior software engineer at a Latin American fintech building a global payments platform, working with PHP, Java, and MySQL to ensure high availability and throughput for millions of transactions.
Data Science Specialist
Data Science Specialist (AI Engineer) at fintech EBANX designs, builds, and deploys production machine learning systems focused on fraud prevention and payment risk. Day to day: developing classical ML models (XGBoost, Random Forest), building APIs and data pipelines, and running CI/CD deployments with Python, cloud platforms, and MLOps teams. On-site in Curitiba.
Machine Learning Engineering Specialist
AI/MLOps engineering role at fintech EBANX in Curitiba, owning the design and deployment of scalable machine learning systems in production. Day to day involves building ML infrastructure and pipelines, CI/CD, cloud (AWS/GCP/Azure), Docker/Kubernetes, monitoring, and mentoring teammates in MLOps best practices.
