About the Role :

As a Lead DevOps Engineer, you will be part of the Cloud Platform team, which is responsible for architecting, deploying, maintaining, and supporting infrastructure platforms across public, private, and hybrid cloud environments. The team owns core platform services, including Kubernetes, Infrastructure as Code, CI/CD platforms, and GitOps tooling, and supports both data centre and cloud-native deployments. In addition to core platform responsibilities, this role will focus on intelligent automation and applied AI use cases to reduce operational toil, improve reliability, and accelerate incident response across the SaaS platform.

Here is how, through this exciting role, YOU will contribute to Helix's and your own success :

- Support, maintain, and optimize private and public cloud deployments across AWS, Google Cloud, Oracle Cloud, and other IaaS platforms.

- Maintain and support all platform deployment software including Kubernetes, Rancher, OKE, GKE, and EKS.

- Design, develop, and maintain automation using Terraform, Jenkins, ArgoCD, and Ansible.

- Write and maintain automation and tooling using Python and/or Go.

- Deploy and operate data center environments across bare metal, virtualized, and cloud-based infrastructure.

- Provide architectural input for capacity planning, performance management, data center rollouts, and consolidation initiatives.

- Design and implement AI-assisted automation to streamline operational workflows, including :

1. Intelligent alert enrichment, correlation, and noise reduction

2. Automated runbooks and self-healing workflows

3. AI-assisted troubleshooting and incident summarization

- Integrate LLM-based capabilities into existing platform tooling, CI/CD pipelines, and ChatOps workflows (Slack/Teams) where appropriate.

- Partner with SRE, Ops, and Platform stakeholders to identify high-impact automation opportunities and drive measurable operational improvements.

- Ensure all automation and AI-enabled solutions are secure, reliable, auditable, and production-ready.

Requirements :

To ensure you're set up for success, you will bring the following skillset & experience :

- Strong hands-on experience with Terraform, Jenkins, Kubernetes, ArgoCD.

- 9 - 12 years of relevant industry experience (industry domain not critical).

- Strong knowledge and hands-on experience with Kubernetes, Terraform, Jenkins, Ansible, and ArgoCD.

- Proven experience supporting production platforms with on-call and incident response responsibilities.

- Experience working with Change and Incident Management tools and processes.

- Prior experience deploying and operating infrastructure in at least one major cloud provider : AWS, Google Cloud, or Oracle Cloud.

- Strong Linux fundamentals and system troubleshooting skills.

- Ability to work independently with minimal supervision and exercise sound technical judgment.

- Experience solving problems of diverse scope requiring data analysis, evaluation of alternatives, and practical decision-making.

- Strong verbal and written communication skills for collaboration with a global, cross-functional team.

Nice to Have :

- Applied AI experience in infrastructure and operations, including AI-driven alert correlation and noise reduction, automated runbooks and self-healing workflows, AI-assisted troubleshooting and incident summarization, and integration of LLMs into platform tooling, CI/CD pipelines, and ChatOps or self-service solutions; familiarity with LLM APIs, frameworks such as LangChain or LlamaIndex, and AI security and governance practices is a plus.

- Experience with Spectro Cloud or similar Kubernetes management platforms.

- Familiarity with observability stacks such as Prometheus, Grafana, ELK/OpenSearch.

- Exposure to AIOps platforms or event-driven automation systems.

- Working knowledge of Active Directory and enterprise directory services.

- Knowledge of networking fundamentals, including DNS, routing, load balancing, and connectivity troubleshooting.

- Relevant certifications (ITIL, AWS, GCP, OCI, VCP, etc.).