Devops Architect

Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

We Are An Equal Opportunity Employer:
Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.

We are seeking a highly skilled DevOps Architect with strong expertise in cloud infrastructure, Kubernetes, platform engineering, CI/CD, and automation, along with a solid understanding of Generative AI technologies. The ideal candidate will architect and scale cloud-native platforms while enabling AI-powered development, deployment, observability, and operational excellence.

Key Responsibilities

• Architect and manage enterprise-scale cloud infrastructure.

• Design and implement scalable CI/CD pipelines and DevSecOps practices.

• Lead Kubernetes and containerization initiatives across engineering teams.

• Build Infrastructure as Code (IaC) solutions using Terraform, Ansible, or similar tools.

• Drive cloud modernization and platform engineering initiatives.

• Establish monitoring, observability, security, and reliability standards.

• Partner with engineering teams to improve deployment velocity and platform stability.

• Evaluate and implement AI-powered DevOps solutions.

• Leverage GenAI technologies to enhance automation, incident management, code generation, operational efficiency, and developer productivity.

• Mentor DevOps engineers and define infrastructure best practices.

Required Skills

DevOps & Cloud

• AWS, Azure, or GCP

• Kubernetes (mandatory)

• Docker

• Terraform

• CI/CD Pipelines

• Jenkins, GitHub Actions, GitLab CI, Azure DevOps

• Linux Administration

• Infrastructure Automation

• Monitoring & Observability

• Networking Fundamentals

• Security & DevSecOps

Preferred Tools

• Terraform

• Ansible

• Helm

• ArgoCD

• Prometheus

• Grafana

• ELK

• Datadog

• Splunk

GenAI & AI Acumen

• Understanding of Generative AI concepts

• Experience using AI-powered engineering tools

• Exposure to:

  • OpenAI

  • Claude

  • Gemini

  • GitHub Copilot

  • Cursor

  • AI Agents

  • LLM-powered automation

• AI-driven Infrastructure Management

• AIOps concepts

• AI-assisted troubleshooting and automation

Preferred Qualifications

• Experience architecting enterprise cloud platforms.

• Experience supporting large-scale SaaS products.

• Exposure to AI infrastructure and LLM deployment environments.

• Strong stakeholder management skills.

• Experience leading DevOps or Platform Engineering teams.