9/2/2026

Are you an ambitious .NET Developer ready to shape the future of high-performance gaming applications and join a dynamic, fast-paced GameTech team? (Heraklion, Crete)

Key Responsibilities

• System Design & Development: Contribute to technical design, API development, and the continuous enhancement of high-performance web applications and backend services.
• Code Refactoring & Optimization: Maintain high code quality by participating in architectural decisions, refactoring legacy components, and improving application scalability.
• Architecture & Quality Standards: Apply modern software principles (DDD, CQRS, Clean Architecture) to build resilient, fault-tolerant features capable of handling high traffic.
• Cross-Functional Collaboration: Work closely with cross-functional engineering teams in the Heraklion tech hub to deliver seamless, end-to-end features in an agile environment.

Technical & Professional Requirements

• Experience: 4+ years of hands-on software engineering experience using C#, .NET 6.0+, WebAPI, Entity Framework, and MS SQL.
• Architectural Exposure: Solid understanding or working experience with Microservices, Message Brokers (e.g., RabbitMQ, Kafka), and design patterns such as DDD, CQRS, or Clean Architecture.
• Core Engineering Skills: Proven ability to write clean, maintainable code and build secure, distributed APIs and backend systems.
• Communication & Location: Strong communication skills, a team-first mindset. 

4+ of experience as a .Net Developer 

Have some questions first? Contact Maria Hadjichristodoulou at 6952381381 from Monday to Friday. Otherwise, feel free to contact me at mhadjichristodoulou@randstad.gr

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.

9/1/2026

Are you ready to bridge the gap between advanced microservices architecture and cutting-edge artificial intelligence? We are looking for an experienced DevOps / Cloud / Infrastructure Engineer to lead the design, deployment, and scaling of LLM-powered applications across hybrid cloud and on-premise environments.

In this role, you will take full ownership of bringing state-of-the-art Large Language Model infrastructure to production anywhere. If you possess deep Kubernetes expertise and thrive on solving complex orchestration challenges across cloud-managed platforms and bare-metal servers, this is your next career step.

You will join an innovative team at the forefront of AI deployment, offering high technical ownership and career evolution. In return, you will receive:

• A competitive compensation package commensurate with experience.
• Remote or Hybrid working schedule
• The opportunity to work on complex, high-impact LLM infrastructure projects across hybrid environments.
• A collaborative, tech-forward culture with access to the latest AI tools and hardware architectures.

As our DevOps / Cloud / Infrastructure Engineer, you will build and maintain the robust foundational systems that keep our AI-driven microservices running seamlessly. Your core responsibilities will include:

• Hybrid Orchestration: Design, deploy, and manage highly scalable Kubernetes clusters across both AWS (EKS) and self-hosted, bare-metal environments.
• Pipeline Automation: Build and manage automated CI/CD pipelines using GitHub Actions to deliver rapid, reliable deployments.
• Packaging & Configuration: Utilize Helm for managing complex, multi-environment Kubernetes deployments and application packages.
• Architecture & Scalability: Architect resilient, scalable microservices infrastructure tailored to meet the computational and operational demands of LLM applications.

To excel in this position, you should bring expert-level container orchestration skills along with a solid understanding of modern AI infrastructure needs. We are looking for:

• Kubernetes Expertise: Deep knowledge of container orchestration, cluster management, and scaling strategies for cloud-managed (EKS) and self-hosted environments.
• Cloud & Automation Stack: Strong hands-on experience with AWS, GitHub Actions, and Helm package management.
• LLM Fundamentals: A solid understanding of Large Language Models and their unique operational requirements.
• Architecture & Version Control: Excellent grasp of scalable microservices design and modern Git workflows.

While not mandatory, the following hands-on experience and skills will significantly support your application:

• Experience with hypervisors and virtualization technologies (e.g., KVM, VMware, Proxmox).
• Hands-on experience deploying LLM inference engines (e.g., vLLM, llama.cpp) and GPU orchestration in Kubernetes (NVIDIA device plugins, CUDA scheduling).
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Knowledge of advanced networking, service meshes (Istio, Linkerd), and secure cloud/on-prem connectivity.
• Hands-on development experience in Python or Go for custom tooling, automation, or Kubernetes operators.
• Familiarity with AI coding assistants (e.g., GitHub Copilot, Codex, Devin).

3+ years of experience as a Cloud/DevOps Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.

9/1/2026

Are you an ambitious QA / Software Tester ready to shape the future of the global financial landscape and join a dynamic, fast-paced team dedicated to driving digital transformation and revolutionizing the banking industry?

Key Responsibilities

• Test Planning & Execution: Execute manual test cases across front-end application UIs and backend integration services connecting the client platform with third-party systems.
• Defect Tracking & Logging: Systematically record test results (passed/failed), log detailed bug reports, and track defects through their resolution lifecycle.
• Regression & Re-testing: Perform rigorous re-testing of test cases post-bug-fixing to ensure platform stability and high-quality deployments.
• Documentation & Requirements Analysis: Collaborate closely with Functional Analysts to translate complex functional requirements, user stories, and use cases into comprehensive test scenarios.
• Cross-Functional Collaboration: Serve as the primary quality bridge, communicating effectively between business analysts, developers, and implementation teams to ensure seamless delivery.

Technical & Professional Requirements

• Experience: 1–3 years of hands-on experience in manual application testing, ideally within the Banking Sector, Lending Automation systems, or Business Process Management (BPM) platforms.
• Functional & Technical Knowledge: Strong ability to understand functional analysis processes while maintaining the technical acumen needed to collaborate directly with development teams.
• Communication & Interpersonal Skills: Excellent written and verbal English communication skills, with proven ability to document clear test cases and interface with technical teams.
• Education: University Degree or equivalent practical experience in Computer Science, Information Technology, or a related field.

1-3 years of professional experience

Have some questions first? Contact Maria Hadjichristodoulou at 6952381381 from Monday to Friday. Otherwise, feel free to contact me at mhadjichristodoulou@randstad.gr

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.

9/1/2026

Are you ready to architect and scale the cloud infrastructure behind next-generation Frontier AI? We are looking for an experienced DevOps Engineer to join an innovative technology leader building multimodal intelligence solutions for high-stakes, defense, and safety applications. 

In this role, you will bridge the gap between advanced machine learning algorithms, scalable cloud environments, and low-level execution. You won't just be managing servers—you will design automated CI/CD pipelines, optimize GPU-accelerated Kubernetes clusters, and build secure, high-availability infrastructure that powers state-of-the-art AI model training and inference.

This position is full-time, hybrid based in Athens.

You will join a high-impact, collaborative environment where you can solve complex technical challenges alongside top-tier engineers and AI researchers. In return, you will receive: 

• A competitive compensation package and opportunities for rapid professional growth. 
• The opportunity to design cutting-edge cloud & AI infrastructure powering state-of-the-art systems. 
• A dynamic, forward-thinking tech culture operating at the intersection of AI and scalable cloud systems.

As our DevOps Engineer, you will work closely with AI researchers, systems engineers, and embedded developers to ensure the seamless deployment and stability of complex AI systems. Your key responsibilities will include: 

• Cloud & IaC: Design, provision, and maintain highly scalable cloud environments (primary focus on AWS) using Terraform. 
• Container Orchestration: Manage, scale, and optimize Kubernetes (EKS/k8s) clusters, focusing on GPU-accelerated workloads for AI model training and inference pipelines. 
• CI/CD Automation: Build and maintain automated build, test, and deployment pipelines (GitHub Actions, GitLab CI) for microservices, system software, and AI models. 
• MLOps Integration: Collaborate with AI teams to streamline model training workflows, model registry management, and artifact storage using MLOps best practices. 
• Observability & Security: Implement end-to-end monitoring (Prometheus, Grafana, Datadog) and enforce strict cloud security, IAM access controls, and secrets management (HashiCorp Vault).

To excel in this position, you should bring a strong background in AWS cloud infrastructure, container orchestration, and automated deployment pipelines. We are looking for: 

• Cloud Expertise: Strong hands-on experience with AWS platforms and services (EC2, EKS, S3, IAM, VPC, CloudWatch). 
• Containerization: Advanced expertise in Kubernetes and Docker, including GPU node management, ingress controllers, and cluster networking. 
• IaC & Automation: Deep proficiency in Terraform for declarative infrastructure management, paired with strong scripting skills in Python, Bash, or Go.
• CI/CD Systems: In-depth understanding of modern CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins.

While not mandatory, the following experience will significantly enhance your application:

• Experience with MLOps tools and frameworks (e.g., Kubeflow, MLflow, Ray, Weights & Biases). 
• Background in high-security, defense tech, or ISO/SOC2 compliant environments. 
• Familiarity with secrets management tools (HashiCorp Vault) and security scanners (Trivy, SonarQube).

4+ years of experience as a DevOps Engineer

Got any questions regarding this position? You can contact Konstantinos Adamopoulos at 6940080281, from Monday to Friday. Otherwise, feel free to contact me at kadamopoulos@randstad.gr.

We look forward to receiving your application, uploading your updated CV by clicking the 'apply now' option.

In case that your application advances to the next stage, you may be automatically invited to submit a video, answering a few interview questions.

Please note that for transparency and equity reasons, only those applications made online via our site will be assessed. After the screening of all the CVs received, we will only contact the candidates who meet the requirements of the job to arrange an interview. ​All applications are considered strictly confidential.