Infrastructure or Platform Manager

Overview

Join the NCR Voyix Cloud Platform team as a Senior Platform Engineer / Team Lead. This hands-on leadership role guides a small team while contributing technically to cloud platforms, infrastructure, reliability, automation, and developer experience.

What you'll do

• Lead platform engineering work across cloud infrastructure, Kubernetes, CI/CD, observability, and automation.
• Mentor engineers through design reviews, pairing, incident follow-ups, and career development.
• Build and operate shared platform services used by multiple product teams.
• Improve deployment, release, and operational practices so teams can ship safely and often.
• Design maintainable infrastructure and tooling using automation and infrastructure as code.
• Help define standards for reliability, monitoring, security, incident response, and production readiness.
• Use AI-assisted engineering tools responsibly to improve delivery, automation, troubleshooting, documentation, and operational workflows.
• Participate in production support and lead incident response when needed.
• Work with engineering leaders and stakeholders to plan work, manage tradeoffs, and communicate risks clearly.

What you'll need

• BS in Computer Science, Software Engineering, Computer Engineering, or equivalent practical experience.
• 7+ years of experience in software engineering, platform engineering, DevOps, SRE, or infrastructure.
• Experience mentoring or leading DevOps, SRE, infrastructure, or platform engineers.
• Strong understanding of SRE and DevOps practices.
• Production experience with GCP, AWS, Azure, or another major cloud provider.
• Production experience with Kubernetes, Docker, and Helm.
• Experience with CI/CD tools such as Google Cloud Build, Harness, Jenkins, Travis CI, or Spinnaker.
• Experience with observability or APM tools such as Dynatrace, New Relic, AppDynamics, Prometheus, Grafana, or OpenTelemetry.
• Practical experience using AI-assisted engineering tools to improve software delivery, automation, testing, documentation, troubleshooting, or operations.
• Ability to evaluate AI-generated output critically and use AI tools safely with attention to code quality, security, and data protection.
• Ability to design, build, and support reliable systems at high transaction volume.
• Strong troubleshooting skills and solid computer science fundamentals.

Nice to have

• 1+ year of production GCP experience.
• 1+ year of production Kubernetes experience.
• Experience with Terraform or other infrastructure as code tools.
• Designed, deployed, or operated at least one agentic AI solution in production.
• Familiarity with Java, .NET, and NPM development lifecycles.
• DBA experience or practical experience supporting databases in production.
• Experience improving internal developer platforms, shared tooling, or cloud services.
• Experience leading technical planning across multiple teams.

Details

• Location: Chennai, India.