AI Cloud Engineer - Tech Lead at Deploja AB

Solna, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, Kubernetes, Cloud Architecture, DevSecOps, GitOps, Shell Scripting, Python, Linux, CI/CD, ArgoCD, ArgoWorkflows, Github Actions, Agentic AI, Model Deployment, LLM, RAG

Industry

IT Services and IT Consulting

Description

We now have a new requirement and are looking for a consultant colleague with the qualifications listed below. The position is part of our consulting business, which means you will be employed by us and work either with clients or on internal projects and assignments. As part of your application, you may be presented to clients/partners as part of the recruitment process. If selected for the assignment, you will be employed by us and work either with clients or on internal projects and assignments as part of our consulting business. Your Profile (Must-have requirements) • Solid Golang and other systems programming language experience and operator implementations utilizing Kubernetes. • Bachelor’s or master’s degree in a technical field such as Data Engineering or equivalent work experience. • Practical experience of cloud architecture and commonly used high-performance applications, cloud-native and traditional, their individual best usecases and how to apply DevSecOps best practices. • Solid understanding of DevOps practices GitOps workflows and developer enablement. • Automatic scripting of repetitive tasks using Shell or Python. • Strong knowledge of Linux and Container technology (Linux/Kubernetes Certifications are favorable). • Active implementation of automation pipelines (CI/CD) using ArgoCD, ArgoWorkflows, Github Actions or other runners. • Scanning third-party libraries and container images for vulnerabilities. • Experience building cloud-native/Kubernetes environments in industries with large volumes of data. • Agentic AI development or use of copilot. • Model Deployment experience. Meritorious • Experience with build, testing (unit, integration, end-to-end), SAST, DAST, Artifactory release, and deployment tostaging/production. • LLM concepts (Prompting, RAG). • AI certifications (Google/AWS/Microsoft). • NVIDIA developer certification. • SAFe/Agile certification. Application deadline: 02-06-2026 About Us We currently employ experienced consultants in areas such as System Development, AI, Machine Learning, Testing, Cloud, Infra DevOps, and IT Project Management. Working at Deploja is something entirely different from working at an ordinary consulting company—and we are really proud of that. So, what makes us unique? We simply offer more than just a high salary and greater freedom; that’s just the beginning. With us, you’ll find the work environment and opportunities you deserve. Welcome to Deploja, where the grass is indeed greener! Vi erbjuder dig följande, Valet är ditt! 🚀 Exciting assignments with our many clients. We focus on long-term projects, which gives you the opportunity to create value for the client while also developing yourself. 🌟 A secure monthly salary – together we’ll agree on a base salary depending on your assignments. 🚗 Company car – we encourage you to choose an electric car for a more sustainable future. 💼 Occupational pension and great opportunities for salary conversion. 🌴 Vacation – Would you like more than 30 days of vacation, perhaps 60 days? 🏥 Private health insurance, accident insurance, and life insurance for increased security. 📚 Skills development – you set your own budget and choose the training you wish to attend. 🕑 Quality of life – Are you struggling to balance everyday life and wish to work a little less while still earning as much, if not more? We handle applications continuously, and due to the high workload, it's especially important to include a short motivation for the position, explaining how you meet the requirements.

Responsibilities

Lead the implementation of cloud-native environments and AI model deployments for clients as a technical consultant. Focus on automating repetitive tasks and building secure, high-performance infrastructure using Kubernetes and DevSecOps practices.