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About US:-
We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.
We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.
Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe
We are looking for a skilled and motivated Cloud / DevOps Engineer with 2 to 4 years of experience to join our core Tooling Team. In this role, you will be instrumental in building, maintaining, and securing the enterprise-grade infrastructure and developer platforms that power our engineering groups.
While our primary ecosystem is Microsoft Azure, strong profiles with solid experience in AWS or GCP are welcome to apply. You will manage robust containerized environments, optimize CI/CD pipelines, ensure comprehensive system observability, and help pioneer the integration of AI-assisted engineering tools into our internal platforms.
Roles and Responsibilities
As part of the Tooling Team, your day-to-day responsibilities will span core infrastructure administration, vendor platform management, and automated developer tooling:
Platform & Tooling Management: Administer and optimize our enterprise-wide developer suite, including GitHub Enterprise, JFrog Artifactory, SonarQube, Jira Service Management (JSM), Jira Support Portal, and Confluence.
Infrastructure & Security: Manage cloud-native foundational services including Azure DNS, Cloudflare edge services, and secure SFTP environments. Assist in custom image baking, OS hardening, and endpoint/cloud security tracking via XSIAM and WIZ monitoring.
Observability & Monitoring: Maintain end-to-end system visibility across all platforms using Dynatrace.
AI Tooling Integration: Support the deployment, hosting, and operational best practices of custom internal AI Agents and developer productivity tools.
Technical Skills
Mandatory Technical Skills
Kubernetes (AKS): Hands-on experience with Azure Kubernetes Service (AKS). Must possess a deep understanding of both Kubernetes administration (cluster setup, RBAC, networking, storage, node pools) and application development paradigms (manifests, ingresses, statefulsets).
Helm: Proficient in creating, configuring, and managing Helm charts to package and deploy complex, reusable applications seamlessly onto Kubernetes clusters.
ArgoCD: Solid experience with ArgoCD for GitOps-based continuous delivery, including managing application sync policies, automated rollouts, and cluster state reconciliation.
Implementing deployment gates, automated approval checks, and branch protection rules.
Embedding automated security testing (SAST/DAST) and artifact management.
Continuous monitoring of pipeline health and deployment velocity.
Infrastructure as Code (IaC): Familiarity with Terraform for provisioning cloud infrastructure.
Monitoring & Observability: Hands-on experience with Dynatrace for full-stack monitoring, synthetic tracking, and setting up precise alerting thresholds.
Docker & Containerization: Deep understanding of writing optimized Dockerfiles, multi-stage builds, container runtime configurations, and image security.
Artifact Management: Administration and usage of JFrog Artifactory for secure registry hosting (Docker images, Maven, npm, NuGet, etc.).
Core Azure Services: Proficiency across core Azure services such as Azure Virtual Networks (VNets), Azure Compute/Virtual Machines, Managed Identities, and Azure Key Vault.
Good-to-Have Skills
Agentic Engineering & AI Concepts: Experience or strong interest in AI-assisted development ("vibe coding"), prompt engineering, and operationalizing AI Agents. Familiarity with managing agent constraints like specific runtime rules, tool-calling skills, model selection, and token cost/usage tracking.
Certifications: Relevant industry certifications are highly desirable:
Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator Associate (AZ-104)
Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
Experience & Qualifications
Experience: 2–4 years of dedicated experience in a DevOps, Cloud Engineering, or Systems Engineering role.
Education: Bachelor’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience).
Mindset: A strong "automation-first" approach to problem-solving. Excellent documentation skills and a collaborative mindset to support internal developer communities.