Posted 16 days ago
Description
Responsibilities
- We are seeking a highly skilled DevOps Engineer to design, build, and maintain scalable, secure, and high-performing cloud infrastructure on Microsoft Azure
- This role is heavily focused on enabling data platforms—including Databricks, Event Hubs, and Azure Storage—through infrastructure-as-code, automation, and modern DevOps practices
- You will work closely with engineering, data, and platform teams to streamline deployment pipelines, ensure reliability of data services, and support both real-time and batch data workloads
- Design, implement, and manage cloud infrastructure solutions using Terraform (Infrastructure-as-Code)
- Build and maintain CI/CD pipelines for applications and data platforms
- Deploy and support Azure-native data services including Azure Databricks, Azure Event Hubs, Azure Storage (ADLS Gen2, Blob)
- Manage and optimize SQL-based systems (Azure SQL / PostgreSQL / related platforms)
- Automate operational tasks using Bash scripting and other scripting tools
- Administer and maintain Linux-based environments
- Monitor system performance, reliability, and costs; implement improvements and optimizations
- Ensure security, compliance, and governance across all Azure resources
- Work with development and data engineering teams to enable DevOps best practices
- Troubleshoot production issues and ensure high availability of critical systems
- Support real-time data pipelines and streaming architectures
Qualifications
- CI/CD tools (GitLab, GitHub, Azure DevOps, or similar)
- Strong hands‑on experience with: Terraform (mandatory)
- Knowledge of security best practices in Azure (RBAC, managed identities, Key Vault)
- Solid experience with Linux system administration
- Strong Python and Bash scripting skills
- Proficiency in SQL (querying, performance tuning, data workflows)
- Infrastructure automation and configuration management
- Experience with data‑centric platforms: Azure Databricks, Azure Event Hubs, Azure Storage (ADLS Gen2 / Blob)
- Exposure to containerization (Docker, Kubernetes)
- Monitoring, logging, and alerting tools like Datadog, Splunk, etc.
- Version control systems (Git)
- Microsoft Azure (core services + networking + security)
- Development experience with streaming data architectures and event‑driven systems
- Familiarity with data lake / Lakehouse based big data systems and architectures
- Experience in high‑throughput, low‑latency environments
