About this role
You will be part of the AI Center of Excellence (AI COE), a centralized platform team responsible for building, operating, and evolving enterprise-grade AI and data platforms consumed by multiple internal engineering and project teams.
The AI COE operates as a platform product organization, not a project delivery or system integration team. It owns shared capabilities end-to-end, including integration services, AI enablement, developer tooling, observability, and governance. Success is measured by platform adoption, usability, reliability, and long-term value, rather than one-off delivery milestones.
In this role, you will embed automation, security, and operability into the AI COE platform. You will ensure platform services are provisioned, deployed, and operated in a secure, repeatable, and observable manner.
What will you do?
Platform Automation & CI/CD
Build and maintain robust CI/CD pipelines for platform and AI servicesStandardize deployment and release processes across the platformDevelop and maintain reusable automation artifacts and templatesImplement Infrastructure as Code (IaC) using Terraform or equivalent toolsSecurity & Compliance
Implement security controls within delivery pipelinesEnforce policy compliance and secure pipeline practicesEnsure platform services meet enterprise security standardsPlatform Observability & Operations
Operate and enhance platform observability tooling (OpenTelemetry, Grafana, Prometheus, Loki, Tempo)Implement sidecar and service-level operational patternsMonitor platform health, performance, and reliability metricsTroubleshoot and resolve platform-related issues proactivelyCollaboration & Continuous Improvement
Collaborate closely with Platform AI Engineers and other platform teamsDrive continuous improvement initiatives for platform reliability and usabilityContribute to platform adoption strategies and developer experience enhancementsManage Kubernetes deployment patterns using Helm
The ideal candidate should possess:
3–5 years of experience in DevOps or platform engineering rolesOpen to a contractual roleExperience supporting shared platforms or multi-tenant environmentsStrong expertise in Infrastructure as Code (Terraform or equivalent)Proven experience with CI/CD automation for cloud-native platformsHands-on experience with Kubernetes and Helm deployment patternsProficiency in observability tooling: OpenTelemetry, Grafana, Prometheus, Loki, TempoUnderstanding of sidecar patterns and service-level operational practicesFamiliarity with secure pipeline practices and policy enforcement conceptsAutomation-first mindset with strong attention to security and reliabilityPlatform ownership mentality and commitment to continuous improvementStrong collaboration and communication skills to work across multidisciplinary teamsBachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent practical experience) Why Join NCS?
Grow with Us
Work on cutting-edge AI products that shape the future of technologyCollaborate with talented, passionate teams across research, engineering, and designAccess continuous learning opportunities and career development pathwaysMake an Impact
Transform AI research into products that solve real problems for clients and usersDrive innovation in a leading Technology Services Firm with regional presenceContribute to building a better future through responsible, human-centred AIThrive in Our Culture
Experience a human-to-human approach where relationships and collaboration matterBe part of Team NCS, where bold ideas meet practical executionEnjoy a supportive environment that values diversity, inclusion, and respectWe are driven by our AEIOU beliefs—Adventure, Excellence, Integrity, Ownership, and Unity—and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients, Growing our people, and Creating our future.
Together, we make the extraordinary happen.
Learn more about us at ncs.co and visit our LinkedIn career site.
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