Senior Harness Engineer

Online Consulting AG

Wrocław

Hybrid

PLN 240,000 - 360,000

Full time

14 days+
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Job summary

Online Consulting AG seeks a Senior Harness Engineer to design and operate Google Cloud environments, integrating AI/LLM capabilities and driving autonomous, secure cloud operations.

You will shape the harness around AI agents, manage CI/CD pipelines with Jenkins, and automate infrastructure using Terraform or Pulumi, while collaborating with CIO and DevOps teams.

Qualifications

  • Hands-on experience with Google Cloud Platform (GCP) production environments.
  • Strong background in AI/LLM integrations or agentic systems.
  • Solid Python skills and ability to automate infrastructure; Go is a plus.

Responsibilities

  • Design, manage and improve GCP production environments for reliability, scalability, and availability.
  • Shape and evolve the engineering harness around AI agents, cloud infra and workflows for autonomous operations.
  • Develop and optimize CI/CD and GitOps pipelines (e.g., Jenkins) for reliable software delivery.
  • Integrate LLMs and AI tooling into cloud and operational workflows with secure access.
  • Automate infrastructure and workflows using Python and IaC tools (Terraform, Pulumi).
  • Monitor production, perform root cause analysis and reduce manual work.

Skills

GCP
Python
Kubernetes
CI/CD
GitOps
AI/LLM integrations
Security (TLS/mTLS)
Monitoring (Prometheus/Grafana)
PostgreSQL
Terraform/Pulumi (IaC)
English communication
Jenkins
Go

Tools

Jenkins
Terraform
Pulumi

Job description

At Online, we support our partners in building strong and sustainable digital teams. For one of our partners — a Swiss-based fintech company — we are currently supporting the recruitment process for a Senior Harness Engineer.

This role offers the opportunity to work in a modern cloud and AI-driven engineering environment, where you will develop and improve cloud, automation and AI-enabled solutions. You will collaborate closely with the CIO, Domain Engineers and DevOps specialists, and contribute to building a reliable, secure and increasingly autonomous technology environment.

If you are looking for a role that offers high technical ownership, freedom to shape and implement solutions and the opportunity to work at the intersection of cloud, DevOps and AI, this could be an excellent next step in your career.

Your Impact
  • You design, manage and continuously improve Google Cloud Platform environments, ensuring reliability, scalability and high availability of production systems.
  • You help shape and evolve the engineering harness around AI agents, cloud infrastructure and operational workflows, enabling increasingly autonomous operations at enterprise scale.
  • You develop and optimize CI/CD and GitOps deployment pipelines, using tools such as Jenkins to support reliable and efficient software delivery.
  • You integrate LLMs and AI-powered tooling into cloud and operational workflows, with particular attention to authentication, authorization and secure access.
  • You automate infrastructure and operational processes using Python and Infrastructure as Code tools such as Terraform or Pulumi.
  • You monitor production environments, analyze incidents and logs, perform root cause analysis and implement solutions that reduce recurring manual work.
  • You work closely with the CIO, Domain Engineers and DevOps specialists, taking ownership of improvements and independently identifying areas where you can contribute value.
Your Talent
  • You have strong hands-on experience with Google Cloud Platform (GCP) and managing cloud-based production environments.
  • You bring practical experience or a strong technical background in AI/LLM integrations, agentic systems or AI-powered automation.
  • You have solid Python skills and are comfortable using code to automate and improve infrastructure and operational processes; Go is a plus.
  • You have experience with Kubernetes, CI/CD and GitOps, and are familiar with modern deployment and automation tooling such as Jenkins.
  • You bring experience with Infrastructure as Code, such as Terraform or Pulumi.
  • You understand authentication, authorization, entitlements and cloud security, including secure communication concepts such as TLS, mTLS and certificates.
  • You are familiar with monitoring and observability technologies such as Prometheus, Grafana and log analysis, and ideally have experience with PostgreSQL.
  • You are comfortable working across different technologies and are interested in continuously exploring new approaches, particularly in AI and agentic engineering.
  • You think independently, proactively identify opportunities for improvement and are comfortable taking ownership without waiting for detailed instructions.
  • You communicate confidently in English; German is a plus.
  • Experience in fintech, financial services or another regulated environment is a plus.
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