DevOps Engineer

Srijan Technologies PVT LTD; Gurugram District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Srijan Technologies PVT LTD is seeking a Cloud / DevOps Engineer to build and secure our enterprise infrastructure and developer platforms. You will manage containerized environments, optimize CI/CD pipelines, and integrate AI tooling for internal productivity.

The role emphasizes Azure‑centric work with potential AWS/GCP exposure, strong automation, and rigorous security practices across observability, deployments, and tooling management.

Qualifications

• 2–4 years of dedicated DevOps/Cloud experience.
• Bachelor’s degree in CS/IT or equivalent practical experience.
• Automation‑first mindset with strong documentation and collaboration.

Responsibilities

• Platform & Tooling Management: Administer and optimize enterprise developer tools (GitHub Enterprise, JFrog Artifactory, SonarQube, Jira Service Management, Confluence).
• Infra & Security: Manage Azure cloud services, DNS, and secure environments; assist in image baking and OS hardening.
• Observability: Maintain end‑to‑end visibility with Dynatrace and set precise alerting thresholds.
• AI Tooling Integration: Support deployment and operation of internal AI Agents and productivity tools.

Skills

Automation mindset

Documentation

Collaboration

Education

Bachelor’s degree in CS / IT or related field

Tools

AKS (Azure Kubernetes Service)

Helm

ArgoCD

GitHub Actions

GitLab CI

Terraform

Dynatrace

Docker

JFrog Artifactory

Azure core services

Job description

Job Description

Cloud / DevOps Engineer (Tooling & Infrastructure)

Position Overview

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

• 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.
• DevOps & CI/CD Practices: Designing and maintaining robust automated pipelines (GitHub Actions / GitLab CI). Implementing deployment gates, automated approval checks, 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.