Senior Platform Engineer – AI-Assisted Development & Kubernetes

Reposted 2 Months Ago
Be an Early Applicant
Hiring Remotely in København, Hovedstaden, DNK
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build and maintain Kubernetes-based development and deployment platforms, CI/CD and GitOps pipelines, infrastructure-as-code, observability and governance. Establish guardrails for AI-assisted and agentic workflows, support AI workload deployment, and collaborate with developers and architects to operationalise secure, scalable platform engineering.
Summary Generated by Built In

Permanent position at Twoday | Copenhagen

About the role

This role is not about building AI models from scratch.

It is about building the platform, infrastructure and delivery workflows around AI-assisted software development.

You will work closely with development teams, platform engineers and architects to create the infrastructure and guardrails that enable AI agents and AI-assisted workflows to safely operate within enterprise and public-sector environments.

The environment is heavily Kubernetes- and platform-oriented and focuses on:

  • secure software delivery

  • AI-assisted development workflows

  • GitOps and CI/CD

  • Kubernetes-based deployment environments

  • governance and observability

  • agentic workflows and controlled automation

You will help evolve the current development platform into an AI-native engineering environment where agents can assist — and eventually automate parts of — development, evaluation and operational workflows.

Your responsibilities

You will:

  • Build and maintain Kubernetes-based development and deployment platforms

  • Work with CI/CD, GitOps and secure software delivery pipelines

  • Help establish infrastructure and guardrails around AI-assisted development workflows

  • Support deployment and orchestration of AI-related workloads and services

  • Work with namespaces, deployment structures and platform governance

  • Develop and maintain Infrastructure as Code and automation tooling

  • Implement observability, monitoring and operational controls

  • Collaborate closely with developers, architects and platform teams

  • Help operationalise agentic workflows in a controlled and scalable manner

We are looking for someone who has experience with

  • Kubernetes in production environments

  • CI/CD pipelines and GitOps workflows

  • Infrastructure as Code (Terraform, Bicep, Ansible or similar)

  • Docker and container-based platforms

  • Cloud-native operations and platform engineering

  • Linux and scripting

  • Secure software delivery and deployment governance

  • Observability, monitoring and troubleshooting in distributed systems

  • Azure and/or AWS

And also:

  • Fluent Danish and English, written and spoken

  • Ability to work onsite in Copenhagen as required

  • Strong hands-on engineering capabilities

  • Ability to work independently in complex enterprise environments

It is an advantage if you also have experience with

  • AI-assisted development tooling

  • Agentic workflows and autonomous pipeline automation

  • Platform engineering for AI-enabled systems

  • Open-source AI tooling and integrations

  • OpenTelemetry, Prometheus or Grafana

  • Keycloak, Vault or secrets management

  • Policy-as-code and runtime governance

  • European cloud providers or hybrid/private cloud environments

About you

You are:

  • Pragmatic and engineering-focused

  • Comfortable working close to infrastructure and production systems

  • Interested in the intersection between AI and platform engineering

  • Motivated by automation, scalability and operational excellence

  • Structured and quality-conscious

  • Comfortable balancing innovation with governance and stability

What you get at Twoday

  • The opportunity to help shape next-generation AI-assisted engineering platforms

  • Work with modern Kubernetes and cloud-native technologies

  • Real societal impact through public-sector digital solutions

  • Strong technical environment with experienced specialists

  • High technical ownership and influence

  • Collaboration with platform engineers, architects and AI specialists

If you want to help build the infrastructure behind AI-assisted software engineering and agentic workflows at scale, we would very much like to hear from you.

Working at Twoday

Twoday is a leading technology consulting company specializing in applied AI and advanced engineering. With around 2,300 experts in AI, data, digital engineering, and cloud engineering, we cut through complexity, remove uncertainty, and prove the value of technology.

Our purpose is to create a better tomorrow through AI and technology. We strengthen private and public organizations across energy and utilities, financial services and insurance, industrials and manufacturing, health and life sciences, and government.

However, our greatest strength isn't the technology we work with. It's the people behind it. Every day, they bring together expertise, curiosity, and determination to help our customers solve complex challenges and create lasting value.

Diversity and inclusion

We are committed to building an inclusive and diverse workplace where everyone is treated with respect and has equal opportunities. Our recruitment decisions are based on competencies, experience, and individual merit.

Don’t meet all the requirements? Many candidates hesitate to apply unless they meet every qualification. We are looking for people who are engaged, meet most of the criteria, and are motivated to grow in the role. If this role interests you and you believe you could be a good fit, we encourage you to apply.

Skills Required

  • Kubernetes in production environments
  • CI/CD pipelines and GitOps workflows
  • Infrastructure as Code (Terraform, Bicep, Ansible or similar)
  • Docker and container-based platforms
  • Cloud-native operations and platform engineering
  • Linux and scripting
  • Secure software delivery and deployment governance
  • Observability, monitoring and troubleshooting in distributed systems
  • Experience with Azure and/or AWS
  • Fluent Danish and English, written and spoken
  • Ability to work onsite in Copenhagen as required
  • Strong hands-on engineering capabilities and ability to work independently in complex enterprise environments
  • AI-assisted development tooling
  • Agentic workflows and autonomous pipeline automation
  • Platform engineering for AI-enabled systems
  • Open-source AI tooling and integrations
  • OpenTelemetry, Prometheus or Grafana
  • Keycloak, Vault or other secrets management
  • Policy-as-code and runtime governance
  • Experience with European cloud providers or hybrid/private cloud environments

Twoday Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Twoday and has not been reviewed or approved by Twoday.

  • Wellbeing & Lifestyle Benefits — Benefits are highlighted with lunch, culture/sport/wellness allowances, social activities, and wellbeing programs in at least Finland. These indicate a modern perks set that supports day-to-day quality of life where available.
  • Healthcare Strength — Healthcare coverage and mental-wellbeing services are included in a Finland role. This points to robust health-related support in that location.
  • Equity Value & Accessibility — A co-ownership program allows employees to invest in the company and share in value creation. While availability may vary by country, the option signals potential long-term value for participants.

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The Company
HQ: Copenhagen
3,000 Employees
Year Founded: 2022

What We Do

Twoday is a Nordic technology company that provides end-to-end IT services, including software engineering, data and AI solutions, and business applications. They partner with organizations in both the public and private sectors to drive digital transformation and improve operational efficiency through the strategic application of advanced technology and data-driven insights.

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