DevOps & AIOps Engineer

• Client-Facing Advisory & Enablement: Proven experience in a technical advisory or client-facing engineering role. You are comfortable partnering with client IT teams, guiding them through technical adoption, and translating complex platform requirements into operational success.

• DevOps & Infrastructure Expertise: 5+ years in DevOps, SRE, or Platform Engineering. You possess production-grade Terraform experience—architecting modular, multi-cloud IaC frameworks that enable consistent, repeatable deployments across different environments.

• AIOps & Observability: Hands-on experience integrating or managing AIOps platforms or automated observability stacks. You understand the lifecycle of incident response, anomaly detection, and automated remediation.

• AI-Driven Automation: Demonstrated experience building automation workflows. You don’t just write scripts; you build systems that reduce manual operational toil and empower users through self-service provisioning and automated configuration.

• Platform Engineering at Scale: Deep expertise in Kubernetes and Helm. You have a track record of deploying and operating complex, multi-service platforms and managing their lifecycle (chart development, values layering, atomic releases).

• Foundational Cloud Operations: Proven AWS expertise (EKS, networking, IAM/IRSA) with a strong aptitude for multi-cloud environments (Azure/GCP).

• Identity & Security: Solid experience with secrets management (HashiCorp Vault or similar) and identity/SSO integration (Keycloak/OIDC).

• Communication & Mentorship: Excellent written and verbal communication. You are able to explain complex technical concepts to non-technical stakeholders and mentor teams on best practices.

Good to have:

• Consultative Experience: Prior work as a Solutions Architect, Technical Account Manager, or Implementation Engineer in a SaaS or Managed Services environment.

• AI/LLM Infrastructure: Experience managing infrastructure for AI/ML workloads, including GPU node pools, vector databases (e.g., Neo4j), or RAG (Retrieval-Augmented Generation) pipelines.

• GitOps & Lifecycle: Hands-on experience with GitOps methodologies (Flux, Argo CD) for managing continuous deployment at scale.

• Enterprise Compliance: Experience operating within regulated or enterprise environments (PII logging, audit trails, network isolation, SOC2/compliance-heavy workflows).

  • Kafka & Distributed Systems: Experience with event streaming platforms (e.g., Strimzi/Kafka) or specialized operators for stateful services.