Software/Platform Engineer

We are hiring on behalf of our client, a global leader in HR technology, delivering an end-to-end SaaS platform that supports the entire recruitment lifecycle using cloud technology, automation, and AI.

• 3+ years of professional experience in software engineering, DevOps, platform or release engineering.
• Strong software development skills, focusing on building maintainable internal tools and automation.
• Hands-on coding experience with JavaScript or TypeScript.
• Strong experience with Python and Bash/shell scripting for automation and tooling.
• Practical experience designing and maintaining CI/CD pipelines, preferably with GitLab CI/CD and/or Jenkins.
• Hands-on experience with Docker and Kubernetes, including containerization and environment management.
• Experience with GitOps and deployment/configuration tooling such as ArgoCD, Helm, and Ansible.
• Strong understanding of Git workflows, versioning, testing, and modern software delivery principles.
• Automation-first mindset to replace manual processes with scalable tools.
• Openness to using AI development tools to enhance productivity.

Nice to have:

• Experience with AWS/RDS, Octopus Deploy, Nexus or Artifactory, Prometheus, Grafana, Rancher, ELK, SQL Server/DBA workflows, secure SDLC/SOC environments, or legacy application migrations.

• Design, build and maintain deployment and release pipelines to improve reliability and reduce manual intervention.
• Develop internal release and developer tooling to automate processes including packaging, approvals, and deployments.
• Build and maintain engineering tools using Python and JavaScript/TypeScript, combining backend automation with web interfaces.
• Create reusable GitLab CI templates, Helm charts, and ArgoCD applications to enable self-service build and deployment.
• Containerize and modernize QA and lower environments using Docker, Kubernetes, Helm, and Ansible.
• Troubleshoot deployment, infrastructure, and environment-specific issues collaborating with engineering, QA, and database teams.
• Drive adoption of GitOps and modern CI/CD practices across engineering teams.
• Use AI-assisted tools to accelerate development, testing, investigation, refactoring, and automation.
• Maintain technical documentation and runbooks; share knowledge across distributed teams.