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Full Stack Engineer
Build and maintain Souk’s marketplace platform using modern full-stack tech, including AI agents, while collaborating with cross-functional teams.
Data Scientist
Build and maintain predictive models (GLM, XGBoost, Random Forest) for insurance underwriting and claims using Python and AWS SageMaker, then deploy them to production.
DevOps Software Engineer
The DevOps Software Engineer will design, maintain, and scale CI/CD pipelines and build infrastructure for game development. The role involves managing version control systems, cloud infrastructure, and automation tools to support cross-functional teams in delivering AAA titles.
DevSecOps-ingenjör
The DevSecOps engineer will develop and maintain the CI/CD ecosystem for a global defense company, working closely with R&D teams to automate build, test, and deployment processes. The role requires expertise in CI/CD tools, containerization, and scripting languages like Python or Go.
Senior Data Scientist
Designs, builds, and deploys AI/ML-powered automation services (LLMs, NLP) for Workato’s enterprise iPaaS platform, collaborating with engineering/product teams to improve intelligent workflows and product metrics.
FGIS Software Engineer
The Software Engineer will build and maintain middleware to integrate the Cropwise platform with Russian government information systems (FGIS). The role involves data transformation, API development, and creating simple web interfaces for data management in a small, autonomous team.
Java Software Engineer
The Java Software Engineer will develop and maintain software using hexagonal architecture, working with Java 17+ and Spring. The role focuses on implementation tasks based on existing guidelines, with opportunities to work with technologies like Kafka, Azure, and Kubernetes.
Senior Fullstack-/DevOps-utvecklare
Maxitech AB is seeking a Senior Fullstack/DevOps developer for a long-term consulting role in Gothenburg. The position involves developing backend services, managing CI/CD pipelines, and automating cloud infrastructure using tools like Python, TypeScript, Kubernetes, and Azure.
Site Reliability Engineer Intern
An internship assisting with system reliability, monitoring, automation, and incident response for a fintech platform. Focuses on scalable infrastructure, deployment tools, and operational efficiency using cloud, containerization, and scripting.
QA & Release Engineer
QA and release engineer for MariaDB MaxScale, a database proxy, focusing on black-box testing, documentation verification, and managing build/release pipelines in C++ and Python.
[EDA] Intern for Embedded Developer
Embedded developer intern at Bosch working on automotive software tools—clarifying requirements, optimizing development, fixing bugs, and building CI/CT pipelines using C/C++.
Technical Lead-Platform Frontend.
The Technical Lead will architect and evolve Zinier's enterprise web platform using React, TypeScript, and Redux while driving AI-native development practices. This hands-on role involves mentoring engineers, optimizing frontend performance, and integrating AI capabilities into complex field-service workflows.
Senior Backend Engineer (Ruby on Rails), Plan: Planning Views
Builds and optimizes backend features for GitLab’s work items platform, focusing on performance, scalability, and real-time updates while collaborating with product teams and mentoring engineers.
Software Engineer II
Builds and maintains low-latency trading infrastructure and data pipelines in Python/Java, using Kafka, gRPC, and Vue.js dashboards to track trades from execution to balance sheet.
Software Engineer
Builds and maintains high-performance ad-tech integrations for demand-side and supply-side platforms using Python, optimizing real-time bidding systems and collaborating with cross-functional teams.
Senior Agentic AI Engineer
Designs and deploys advanced AI systems for game analytics, automation, and immersive player experiences, focusing on agentic AI, real-time systems, and scalable production pipelines.
Machine Learning DevOps - Cloud and Compute Cluster
Optimizes and scales cloud-based ML training/inference infrastructure, automates pipelines, and ensures model reproducibility for Pathway’s post-transformer AI models.