About Smart Working
At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn t just another remote opportunity - it s about finding where you truly belong, no matter where you are. From day one, you re welcomed into a genuine community that values your growth and well-being.
Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you re empowered to grow personally and professionally.
Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.
About the Role
We re looking for an experienced DevOps Engineer (Azure) to support application and data teams with automated deployments, infrastructure stability, and cost optimisation across a rapidly evolving cloud environment.
You ll play a pivotal role in enabling scalability, observability, and operational efficiency for both application and data workloads ensuring systems are reliable, secure, and cost-effective.
This role is ideal for an engineer with hands-on Azure expertise who thrives in collaborative, fast-paced environments and enjoys solving complex infrastructure challenges through automation.
Responsibilities
- Design, implement, and manage Azure DevOps pipelines for continuous integration and deployment across multiple environments.
- Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform, ARM, or Bicep templates.
- Build and manage containerised environments using Docker and Kubernetes (AKS) to support scalable workloads.
- Automate routine infrastructure operations through scripting in PowerShell, Bash, or Python.
- Implement and maintain monitoring and alerting systems using Grafana, Prometheus, and Azure Monitor to ensure system health and performance.
- Collaborate closely with data engineering, application, and platform teams to deliver reliable, automated deployment workflows.
- Optimise cloud costs and resource utilisation across development and production environments.
- Contribute to ongoing infrastructure modernisation, adopting best practices for security, compliance, and scalability.
Requirements
- 5+ years of experience in DevOps or cloud infrastructure engineering, with a strong focus on Azure environments.
- Proven experience designing and maintaining Azure DevOps CI/CD pipelines.
- Hands-on expertise with Terraform and ARM/Bicep templates for Infrastructure-as-Code.
- Strong knowledge of containerisation and orchestration with Docker and Kubernetes (AKS).
- Proficiency in scripting languages such as PowerShell, Bash, or Python for automation and configuration management.
- Experience implementing monitoring, logging, and alerting solutions with Grafana, Prometheus, and Azure Monitor.
- Strong understanding of cloud cost management, performance optimisation, and operational reliability principles.
- Excellent collaboration and communication skills, with the ability to partner effectively across engineering and data teams.
Nice to Have
- Exposure to Snowflake or data pipeline automation in Azure environments.
- Experience with security and compliance frameworks in financial services or regulated industries.
- Familiarity with networking and identity management in Azure.
- Certifications such as AZ-400 (Azure DevOps Engineer Expert) or HashiCorp Terraform Associate.
Benefits
- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)
- No Weekend Work: Real work-life balance, not just words
- Day 1 Benefits: Laptop and full medical insurance provided
- Support That Matters:Mentorship, community, and forums where ideas are shared
- True Belonging: A long-term career where your contributions are valued
At Smart Working, you ll never be just another remote hire.
Be a Smart Worker valued, empowered, and part of a culture that celebrates integrity, excellence, and ambition.
If that sounds like your kind of place, we d love to hear your story.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
