Jobs at Coody

Design, develop, prototype, test, automate, and debug embedded software and firmware on hardware. Collaborate on product and technology strategy, engineering practices, and team development while delivering value quickly across 6–24 month consulting assignments. Work includes Linux-based systems, device drivers, hardware buses, real-time systems, build tooling, and CI processes.

Lead AI as a core consulting business area by identifying client automation opportunities, educating stakeholders, and delivering complex AI and data projects from concept through implementation. Run workshops, conduct analyses, guide product integrations and user training, support sales, and help make the company more AI-driven. Collaborate with engineers, data scientists, and business teams while reporting directly to the CEO.

Build and scale backend Java applications with end-to-end ownership of services, code, architecture, testing, automation, and outcomes. Work in cloud-native environments using containers, Kubernetes, CI/CD, cloud platforms, and Terraform. Support full-stack delivery across frontend, integrations, infrastructure, and data flows while contributing quickly to client projects as a senior consultant.

Build and scale products using Golang with end-to-end ownership of services, code, architecture, testing, automation, cloud infrastructure, CI/CD, integrations, and data flows. Work as a consultant on 6–24 month assignments, ramping up quickly and delivering value from day one. Collaborate with high-performing teams to create scalable, robust applications across cloud-native environments.

An open application for candidates who do not find a specific suitable vacancy. The employer will review applicants’ experience and knowledge for current or future opportunities, contact relevant candidates, and retain applications on file for future needs.

Build and scale robust backend and full-stack products using C# and cloud-native technologies. Own services, code, architecture, testing, automation, integrations, infrastructure, CI/CD, and data flows. Work independently as a consultant across projects lasting 6–24 months, collaborating with teams of varying sizes and delivering value quickly.

Build and deploy production-grade AI systems, including agentic AI, RAG pipelines, and LLM-powered applications. Own architecture, code, evaluation, integrations, backend services, cloud infrastructure, and data pipelines. Work across client assignments to deliver scalable solutions quickly while contributing to high-performing teams and modern AI engineering practices.

Design, build, and maintain gameplay systems in C++ and modern game engines. Own features from concept through implementation while collaborating with design, QA, and production. Develop robust multiplayer and live-service systems, optimize CPU and memory performance, and contribute across physics, animation, AI, and systems integration. Consultants must quickly ramp up, ship production titles, and support post-launch development.

Build, modernize, and optimize CI/CD infrastructure and pipelines for C# applications. Develop infrastructure as code and configuration management using Terraform and Ansible. Work independently across client assignments, collaborating with developers, designers, artists, producers, and product managers. Assignments are primarily hybrid in Stockholm, with approximately three days per week at the client’s office.

Designs and deploys predictive, classical machine learning, and deep learning models across time series, NLP, clustering, and computer vision. Builds production-grade training and inference pipelines, applies MLOps practices, and deploys solutions to Azure, GCP, or AWS. Consultants work across client assignments, rapidly delivering value while continuously developing technical expertise.

Build and scale frontend and full-stack products with end-to-end ownership. Develop scalable applications using JavaScript and TypeScript, contribute to architecture, testing, automation, integrations, cloud infrastructure, and CI/CD, and collaborate within teams to deliver complete solutions. The role involves consulting assignments lasting 6–24 months and requires rapid ramp-up, delivery from day one, and working primarily with Stockholm-based clients in a hybrid setup.

Owns iOS features end to end, from discovery and architecture through implementation, release, and telemetry. Builds production apps with Swift, SwiftUI, UIKit, and Core Data; integrates APIs and SDKs; and improves CI/CD automation. Responsibilities include performance profiling, accessibility, security, code quality, and occasional machine-learning feature development using Core ML or ML Kit. The consultant collaborates across teams and rapidly delivers value on client assignments.

Build, train, deploy, monitor, debug, and optimize production machine learning models and cloud platforms. Work across GenAI and full-stack ML assignments, influence product direction, contribute to complex systems, and foster collaborative team cultures. Projects span multiple industries and typically last 6–24 months.