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Senior Azure DevOps Engineer
Azure DevOps Engineer role building and maintaining CI/CD pipelines using GitHub Actions, Azure DevOps, Terraform, and Helm in AKS environments, with a focus on deploying Grafana and OpenTelemetry for observability across cloud infrastructure.
Senior Backend JavaScript Developer - San Francisco Office
Develop and operate high-scale backend services using Node.js, MongoDB, and Kubernetes for Bright Data's networking infrastructure, focusing on network traffic, protocols, and security.
Senior Java Engineer - AI-Driven Data Platform
Senior Java Engineer building an AI-driven data platform processing billions of transactions in a 7-person team, using Java, cloud, and Kubernetes with hybrid work in Warsaw.
Senior Backend Engineer, Customer Data Platform
Builds and maintains high-performance event pipelines, Elasticsearch search layers, and Kafka integrations to handle customer data at scale, ensuring reliability under load spikes and cross-team coordination.
Principal Go Engineer — Distributed Data Platform (Remote)
Principal Go engineer leading architecture, performance, and reliability of a distributed data and analytics platform on Kubernetes, cloud, and on-prem infrastructure, while mentoring and guiding multi-team initiatives.
Senior Backend Engineer, Data Platform & Event Pipelines
Builds and maintains high-performance data pipelines and event-driven systems using Node.js/TypeScript, Elasticsearch, and Kafka, ensuring scalability and cross-team integration in a production environment.
Senior Data Engineer (ADB)
The Senior Data Engineer will design, develop, and maintain scalable Spark applications and data transformation workflows using PySpark and Databricks. The role involves collaborating with cross-functional teams to build AI-driven solutions for a global professional services client.
Cloud Engineer Infrastructure (m/w/d) - init innovation in traffic systems SE
You’ll co-develop and operate the company’s Kubernetes-based cloud and on-prem infrastructure platform for mobility systems.
Senior Backend Software Engineer
Build and scale backend services powering mobile apps for a global shopping-deals platform serving millions of users across 27 markets.
Senior Software Engineer (Senior AI Engineer)
Senior AI Engineer on a bank's AI Engineering & Labs team, building intelligent software solutions across business lines. Core tech includes Python, FastAPI, LLM APIs, microservices, GCP, and Kubernetes.
Senior DevOps Engineer
Senior DevOps Engineer to containerize and orchestrate a legacy DCIM solution using Kubernetes, Docker, and automate deployments for a US-based client. Focus on breaking down monolithic systems, scripting configurations, and ensuring reliability in production environments.
Senior Software Engineer (Java/AI)
Design, develop, and deploy enterprise-scale Java/Spring applications with Kafka streaming, AI/ML integration, and MongoDB/Oracle data persistence at Citigroup's Mississauga office.
Senior Software Engineer - Fintech AI & Kafka
Senior Software Engineer building scalable fintech apps with Java, Spring, Kafka, and frontend frameworks, driving data pipelines, UI components, and intelligent automation in an Agile, DevOps-oriented environment.
Senior Software Engineer, Applied AI (Toronto)
Senior Software Engineer building LLM-powered AI agents and a knowledge/reasoning platform for an early-stage HR tech startup in Toronto, using Golang, Ruby on Rails, Python, AWS, Kafka, and related infrastructure.
Machine Learning Engineer
Build and deploy production-grade ML and GenAI systems for insurance, banking, and wealth management using Python, MLOps, and cloud-native tools.
AI Platform & Machine Learning Engineer
Build ML infrastructure—training pipelines, model registries, and deployment systems—for XYZ Reality's Construction Intelligence platform, using Python, PyTorch, Docker, and Kubernetes to take AI models from research into production on wearable AR devices.
Cloud/AI Platform Engineer
Build and operate cloud-native AI/ML platform services at BMO as a new graduate, focusing on Infrastructure as Code, CI/CD pipelines, and scaling AI infrastructure using Azure/AWS/GCP.