Senior Automation Engineer

• 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.

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.

A
key focus is to collaborate effectively with third-party providers and drive
results for Falck. These results include increased automation coverage across
the in-scope infrastructure domains, infrastructure changes delivered through
pipelines rather than manual execution, and documented recommendations that
inform architecture and sourcing decisions. Falck has outsourced key
infrastructure services, primarily to HCL. ,[Drive Falck's automation initiatives by engaging with the specialised teams within AI, Integration, DevOps Center of Excellence, and all Infrastructure Product Teams - bringing the technical insight needed to identify, shape and progress automation opportunities, rather than delivering every initiative hands-on., Advise each team on its automation roadmap and on engineering direction for shared components and integration patterns, assessing automation maturity and identifying gaps, and determining which automations belong in the product way of working versus the technical support way of working - without dictating roadmaps, without line responsibility for the engineers involved, and without acting as Tech Lead across infrastructure as a whole., Technically review and test automation deliverables produced by HCL, Falck's outsourced infrastructure services partner, and enter into dialogue with HCL to agree the best solution design and implementation approach., Deliver hands-on automation that connect infrastructure domains and replace manual operational steps., Design modern CI/CD and Infrastructure as Code architecture by building GitOps-based deployment pipelines and implementing Terraform and Ansible solutions, with GitHub Actions as the pipeline engine and AI-supported tooling such as Azure, Claude, and Copilot Studio., Enable machine-learning-supported automation by building or create requirements for the data pipelines and telemetry analysis behind predictive alerting and automated anomaly detection, and by operating the full MLOps lifecycle for models in production., Support the work to automate operational workflows through platform APIs by streamlining workflows, asset records, incident and change processes, and service delivery reporting, primarily in ServiceNow., Evaluate emerging technologies and vendor capabilities by benchmarking and running proofs of concept on AI, ML, and automation features embedded in infrastructure tooling, and documenting recommendations ] Requirements: DevOps, AI, Python, IaaS, Terraform, Ansible, CI/CD, GitHub, Claude, Copilot, IAM, API, MLOps, ML, AIOps, ITSM, Azure, Docker, Kubernetes, Jira, ITIL