Automation Engineer Lead Analyst - Cigna Healthcare

Official Title: Automation Engineer Lead Analyst

Business / Functional Title: Automation Engineer

Department: Infrastructure Operations

Location: Malaysia, Kuala Lumpur

Role Purpose / Summary

The Automation Engineer is a hands-on delivery role within Infrastructure Operations, responsible for developing, testing, documenting and maintaining automation solutions across infrastructure and operational services. The role exists to reduce manual effort, improve the reliability and consistency of operational services, and release capacity back to the wider infrastructure teams. It does this by turning operational pain points and intake requests into robust, reusable automation built on standard enterprise platforms.

The Automation Engineer works alongside the Automation Engineering Lead, taking ownership of an agreed share of the automation backlog and delivering it end-to-end, with priorities, standards and technical direction set by the Lead. The role is expected to be an early adopter of modern engineering practices and enterprise AI capabilities, using them appropriately to accelerate high-quality delivery.

About The Cigna Group

Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

Key Responsibilities

• Design, develop, test, document and maintain reusable automation for infrastructure and operational services, including provisioning, configuration, patching, housekeeping and reporting.
• Build and operate Ansible content through Ansible Automation Platform, including playbooks, roles, collections, job templates, inventories, credentials and schedules.
• Own assigned requests from intake through delivery and stable operation: clarify requirements, estimate work, build and validate the solution, document it, hand it over and resolve production issues during business hours.
• Develop modular automation using Python, PowerShell, Bash and YAML, following consistent coding and secure engineering standards.
• Manage code in Git using branching, pull requests and peer review, and deliver changes through approved CI/CD pipelines.
• Build testing and validation into delivery, including linting, idempotency checks and non-production dry runs, to support safe and repeatable releases.
• Develop and improve logging, monitoring and reporting across automations to improve understanding and outcomes and utilising enterprise syslog solutions.
• Work independently on assigned solutions, making day-to-day design and implementation decisions within agreed standards and guardrails.
• Work within enterprise technology standards and architectural direction, escalating proposed changes to tooling or design patterns, material service, cost or risk impacts, delivery blockers and conflicting priorities to the Automation Engineering Lead.
• Use approved AI-assisted development tools appropriately to improve delivery speed and quality, with proper review and testing of generated output.
• Champion AI assisted automation and tools across the technology and business sectors of the organisation through successful delivery of solutions and direct engagement with teams.
• Manage and develop automation platforms and solutions, providing reliable and performant solutions, ensuring high user satisfaction and dependable tooling for teams.
• Work with a variety of teams across the organisation to identify opportunities and feed them into the managed backlog.

Skills, Experience & Requirements

Essential

• Experience in infrastructure engineering environments within a large, complex environment.
• Proven delivery of automation from requirements through to stable, documented operation.
• Strong practical skills in Ansible, Python, PowerShell or similar.
• Hands-on experience managing Ansible Automation Platform or AWX.
• Practical experience with Git-based development, peer review, CI/CD pipelines and automated testing.
• Ability to translate operational requirements into technical solutions and deliver them with limited supervision.
• Strong written and spoken English, including clear technical and customer-facing documentation and confident engagement with global stakeholders.
• Self-motivated, proactive and collaborative, with a practical technical mindset and a focus on continuous improvement.

Desirable

• Infrastructure as code with Terraform or Packer, including image builds and standardised provisioning.
• Containers and orchestration using Docker or Podman, and Kubernetes or OpenShift.
• Working knowledge of Windows and Linux administration, with broad familiarity across virtualisation, storage, backup and recovery, and database platforms.
• AWS or Azure experience, including automated provisioning of cloud-hosted services.
• Experience with approved LLMs, agentic development and tools such as Cursor or GitHub Copilot.
• Experience with ITSM and work management tools such as ServiceNow and Jira, including REST APIs.
• Exposure to DevSecOps methodologies and practices, observability tooling and automated security or compliance activity.

Education & Qualifications

Essential

• Bachelor’s degree (or higher) in Computer Science, Information Technology or a closely related discipline; or equivalent experience in an infrastructure engineering / operations environment.

Desirable

• Relevant industry certifications in infrastructure, automation and/or cloud technologies.
• ITIL or similar service management certification or experience.

Key Working Relationships

Works closely and collaboratively with:

• Automation Engineering Lead – priorities, standards, design review and backlog allocation.
• Infrastructure Operations and the wider Technology Engineering and Operations organisation – operational needs, automation opportunities and supportability.
• Project, programme and service management stakeholders – scope, priorities and delivery governance.
• Architecture, security and other enabling functions – technology alignment, design principles and risk or compliance requirements.

Working Arrangements

• Based in Kuala Lumpur, working a mix of office and home-based days in line with local policy (2 days in office, 3 days work from home)
• KL or UK-aligned hours depending on workload and the needs of the teams being supported.
• Occasional out-of-hours work may be required for planned changes or releases.