Cloud Architect (Azure, Python, AI)

Req ID:
Remote Position: No
Region: Asia 
Country: India 
State/Province: Chennai 
City: Guindy, Chennai 

Summary

We are looking for a talented and experienced Cloud Platform Engineer to design, build, automate, and operate modern, scalable cloud infrastructure with a strong focus on Kubernetes ecosystems.

You will be responsible for managing production Kubernetes clusters, implementing Infrastructure as Code (IaC), developing automation tooling in Python, and enabling reliable API integrations across cloud services and internal systems.

This is a highly technical, hands-on role ideal for engineers who enjoy building developer-friendly platforms and solving complex distributed systems challenges.

Detailed Description

Performs tasks such as, but not limited to, the following:

Design, deploy, manage, and optimize production-grade Kubernetes clusters (EKS, GKE, AKS, or vanilla) in multi-cloud or hybrid environments

Implement and maintain Infrastructure as Code using Terraform (including modular design, state management, workspaces, and best practices)

Automate infrastructure provisioning, cluster lifecycle operations (upgrades, scaling, backups), and day-2 operations

Develop clean, reusable Python automation scripts, tools, CLIs, custom Kubernetes controllers/operators, and operational workflows

Build and maintain robust API integrations (REST, GraphQL) with major cloud provider APIs, observability platforms, CI/CD systems, secret managers, and internal services

Design and implement secure, GitOps-style CI/CD pipelines for containerized applications (ArgoCD / Flux preferred)

Work closely with development teams to containerize workloads, author Kubernetes manifests / Helm charts, and define deployment patterns

Implement observability, monitoring, logging, and alerting (Prometheus, Grafana, Loki, ELK stack, cloud-native tools)

Enforce security best practices: RBAC, Network Policies, Pod Security Admission, secret management, image scanning, OPA/Kyverno policies

Participate in production on-call rotation and incident response

Knowledge/Skills/Competencies

GitOps tooling (ArgoCD)

Helm chart authoring and management

Kubernetes Operators and Custom Resource Definitions (CRDs)

Service mesh experience (Istio, Linkerd)

CI/CD platforms: GitHub Actions, GitLab CI, Jenkins

Observability stack: Prometheus + Grafana 

Policy engines: OPA Gatekeeper, Kyverno

Security tooling: Falco, Trivy, cosign

Relevant certifications: CKA, CKAD, CKS, Terraform Associate, AWS/GCP/Azure certifications

Multi-cloud or hybrid-cloud exposure

Physical Demands

Duties of this position are performed in a normal office environment.

Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.

Typical Experience

8+ years of professional experience in cloud infrastructure, DevOps, SRE, or platform engineering

Strong production experience operating Kubernetes at scale (troubleshooting, networking, storage, upgrades, resource tuning, security hardening)

Expert-level hands-on experience with Terraform for multi-environment IaC (deep knowledge in at least one major cloud: AWS / GCP / Azure)

Solid Python programming skills for automation, tooling, and cloud SDK usage (boto3 / google-cloud / azure-sdk)

Proven experience designing and implementing API integrations with cloud services and third-party systems

Deep understanding of container technologies (Docker ) and orchestration principles

Strong Linux systems knowledge, networking fundamentals, DNS, load balancing, firewalls

Experience working with at least one major public cloud provider (AWS, GCP, or Azure)

Experience in Node JS, AI tools

Typical Education

Bachelor's Degree or consideration of an equivalent combination of education and experience.

Educational requirements may vary by geography.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate your needs and we will work with you to meet them.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world’s best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.