Senior Automation Engineer

The position is accountable for raising the level of automation across Falck's digital infrastructure and for the technical direction of that automation agenda. Based in Strategic Initiatives – new established part of Digital Infrastructure & Operations. The role is equally advisory and hands-on, combining advisory technical engagement with the infrastructure product teams with direct, hands-on engineering delivery. It assesses automation maturity and advises the product teams on engineering standards and roadmap direction towards DevOps practices, without dictating those roadmaps. It drives the building of Infrastructure-as-Code, CI/CD pipelines, API integrations and machine learning-supported automation that connect existing infrastructure with digital operations via collaboration with specialized teams. It also evaluates the AI, ML and automation capabilities offered by infrastructure vendors, and technically reviews and tests deliverables from Falck's outsourcing partner, entering into dialogue with the vendor on the best solution.

• Bachelor's or Master's degree in computer science, software engineering, IT engineering or a comparable field, or equivalent documented practical experience
• Minimum 3 years in infrastructure engineering, systems architecture or DevOps, with a demonstrated transition into the AI space (for example LLM-based tooling and automation).
• Documented record of guiding teams through automation transformation programmes, in a technical lead or equivalent role.
• Working knowledge of Infrastructure-as-Code tools (Terraform, Ansible) and of CI/CD platforms; hands-on delivery experience is preferred.
• Experience with GitHub, Claude, and Copilot Studio.
• Programming and scripting in Python, which is required for the ML and automation work, and in Go, Bash or PowerShell.
• Familiarity with API-driven automation of network fabric, firewalls and IAM protocols (OAuth, SAML, Active Directory); hands-on experience with API integrations is not required, though knowledge is an advantage.
• ITSM and process automation through platform APIs, primarily ServiceNow: workflows, asset tracking, incident and change loops, service delivery metrics. Jira Service Management is an advantage.
• ML fundamentals, MLOps, and telemetry data analysis – log aggregation and AIOps.
• Enterprise cloud architecture on Azure, and containerisation and orchestration with Docker and Kubernetes. Experience with GCP is not required.
• Advising on technical direction and standards for engineers outside own reporting line, without formal authority over them.
• Advantage: work within a centralised strategy, architecture or Center of Excellence team structure.
• Advantage: automation within ITIL, asset management or vendor service delivery frameworks.
• .Interpersonal relations: consultative engagement with all Infrastructure Product Teams - including Project & Process Management - and with HCL, establishing agreement on shared standards without formal authority.
• Technical leadership: ability to advise on design decisions and encourage adoption of defined standards through code review, and to reach technical agreement across teams as an advisor rather than as Tech Lead across infrastructure as a whole.
• Analytic analysis: assessment of automation maturity, telemetry data and vendor capability against enterprise requirements.
• Flexibility: equal movement between advisory technical leadership and own hands-on code delivery, and adaptation to differing maturity levels across teams.
• Multitasking: prioritisation across parallel product teams, initiatives and Proofs of Concept.
• IT knowledge: infrastructure engineering, Infrastructure-as-Code, GitOps practice and machine learning applied to infrastructure operations.
• Communication: technical documentation of standards and decisions, and presentation of recommendations to technical and non-technical stakeholders in English.
• Knowledge transfer: coaching, pair programming and code review.