DevOps Engineer

Project overview

Assignment Description

DefGPT requires work to further expand and operationalize it. Work includes:

Designing, developing, and managing cloud-native software.

Developing and maintaining Kubernetes-based AI platforms.

Managing and optimizing LLM infrastructure (including inference platforms, gateways, and model routing).

Developing APIs and backend components.

Integrating open-source software components into one manageable platform.

Automating deployment, release, and management processes.

Troubleshooting complex production issues within Kubernetes environments.

Developing and realizing data products, services, and concepts within the area of expertise based on own research, by:

Continuously adjusting and communicating the future vision for 6 to 24 months.

Inventorying the necessary information;

Writing a plan of action;

Informing and coordinating project members;

Coaching colleagues and acting as a technical point of contact.

Advising on architecture, scalability, security, and performance.

Developing technical designs and concepts in a multidisciplinary context;

Preparing and defending reports;

Overseeing the implementation of technical designs and concepts.

The functionary is accountable to the Product Owner of the relevant platform for the usability and internal/external alignment of the developed products, services, and concepts, as well as the guidance provided.

The framework is formed by generally formulated strategic policy lines, standards, planning frameworks, models, and working methods.

The functionary makes independent decisions when developing new subject-specific products and/or services and goes through a decision-making process with clients in a multidisciplinary context, the effects of which are difficult to predict.

Background of the Assignment

The work is carried out within the Data and DevOps Engineering Section of the Knowledge and Innovation Directorate of COMMIT. The Directorate of Knowledge & Innovation aims to make the latest materiel and IT solutions applicable to our military personnel so they can win the fight. To make this possible, the focus is on accelerating the organization's adaptability. Therefore, the Directorate K&I focuses on knowledge building, innovation, and the relationship between them. We do this by organizing the direction of knowledge building for materiel and IT within COMMIT.

We also experiment, facilitate, and realize innovations. This also applies to the integration of materiel and IT. People, processes, and technology are taken into account integrally so that successful operational innovations have an effect in the combat practice of Defense.

We, as Directorate K&I, are successful when we are able to maintain a combat advantage for our military personnel through knowledge building and innovations.

The DATA department focuses on developing, managing, and making data and AI platforms available within Defense. The GenAI team focuses on realizing secure and managed generative AI solutions and the associated platform facilities. The focus is on:

developing and integrating modern AI technologies,

making Large Language Models (LLMs) available,

supporting AI applications

developing standards for secure use and management.

The GenAI team consists of data scientists and DevOps/data engineers who are responsible for the development, implementation, and further development of AI platforms and the technical facilities required to make generative AI available within Defense.

Generic Description Competence Area and Levels

Following predefined general practice standards, performs planned necessary interventions to implement a solution, including installing, upgrading, or decommissioning. Configures hardware, software, or networks to ensure interoperability of system components and debugs any resulting errors or incompatibilities. Uses additional specialized resources as needed, such as external network providers. Formally hands over the fully operational solution to the user and completes documentation that records all relevant information, including equipment addresses, configuration, and performance data.

Summary of Task and Mission

Implements processes and tools to successfully implement DevOps techniques throughout the development solution lifecycle. Applies a cross-functional, collaborative approach to creating customer-centric software solutions. Introduces automation throughout the software production system to deliver better software faster.

Responsibilities

Implement and manage continuous delivery methods

Design systems with a high degree of availability and scalability

Manage testing throughout the release lifecycle

Facilitate cross-functional collaboration and engagement

Design and manage process automation tools

Approve an agile software development methodology

Manage continuous integration tool management

Requirements

eCF Profile: DevOps Expert

Reference Area: B.04 Implementing Solutions

This assignment is based on the European e-Competence Framework (e-CF). This is a European standard for describing IT competencies and the associated level of responsibility. The e-CF profile indicates which competencies and at what level (e-1 to e-5) are expected from the candidate. We expect candidates to clearly demonstrate these competencies in their CV. This can be done by describing for each relevant assignment or position:

what role the candidate fulfilled

what tasks and responsibilities were involved

to what extent these align with the required eCF competencies and the level

CVs in which the required eCF competencies cannot be demonstrably found cannot be fully assessed for suitability.

Candidate has at least 3 years of demonstrable work experience with the chosen eCF profile in a similar role.

Candidate preferably has demonstrable work experience with DevSecOps (DevOps).

Candidate preferably has demonstrable work experience with Open Source.

Wish

Candidate preferably has demonstrable work experience within the Ministry of Defense.

Additional Information

Hybrid working

Frequency of days working from home

On-call services

Project details

• Start: 2026-10-29T23:00:00
• Location: Utrecht, NL
• Languages: Dutch