What you need -
- 8+ years of hands-on DevOps, SRE, or platform engineering experience, including ownership of production systems at scale.
- Strong experience with cloud platforms such as AWS, Azure, Google Cloud, or on-prem Kubernetes solutions.
- Strong experience with containerization and orchestration (Docker, Kubernetes).
- Proficiency in writing and maintaining Helm charts, including chart libraries, subcharts, and versioning strategy.
- Strong programming skills in cloud-native environments, preferably Go/C/C++/Python
- Solid knowledge of networking concepts, DNS and load balancing.
- Strong understanding of security best practices and DevSecOps principles (secrets management, supply chain security, image scanning, least-privilege IAM).
- Familiarity with monitoring, logging, and tracing tools (Prometheus, Grafana, ELK/OpenSearch, Loki, OpenTelemetry).
- Working knowledge of AI-assisted development tools across the SDLC — using AI coding assistants and agents (e.g., for code generation, refactoring, test writing, debugging, and code review) to improve development speed and quality, with sound judgment on validating and reviewing AI-generated output.
Job description -
- Design, build, and maintain scalable and secure infrastructure for applications across development, testing, and production environments.
- Automate provisioning, configuration, and monitoring using Infrastructure as Code tools such
as Terraform, Ansible, or CloudFormation. - Manage and optimize container orchestration platforms (Kubernetes, EKS, AKS, GKE, or on-prem).
- Integrate and manage open source components such as storage provisioners, ingress and load balancers, container registries, and certificate management.
- Create Helm charts and deploy consistently across multiple platforms and environments.
- Design, develop, and maintain microservices that drive edge cluster orchestration.
- Leverage AI tools throughout the SDLC — from design and coding to testing, documentation, and troubleshooting — to accelerate delivery while ensuring output is reviewed, validated, and production-ready.
Skills Required
- 8+ years of hands-on DevOps, SRE, or platform engineering experience, including ownership of production systems at scale
- Strong experience with AWS, Azure, Google Cloud, or on-premises Kubernetes platforms
- Strong experience with Docker and Kubernetes containerization and orchestration
- Proficiency writing and maintaining Helm charts, including chart libraries, subcharts, and versioning strategies
- Strong programming skills in cloud-native environments, preferably Go, C, C++, or Python
- Solid knowledge of networking concepts, DNS, and load balancing
- Strong understanding of security best practices and DevSecOps principles, including secrets management, supply chain security, image scanning, and least-privilege IAM
- Familiarity with monitoring, logging, and tracing tools such as Prometheus, Grafana, ELK/OpenSearch, Loki, and OpenTelemetry
- Working knowledge of AI-assisted development tools across the software development lifecycle
What We Do
At Parallel Wireless, we believe that software has the power to unleash amazing opportunities for the world. We disrupt the ways wireless networks are built and operated. We are reimagining how hardware, software and the cloud work together to change deployment economics for our customers. Our ALL G O-RAN software platform forms an open, secure and intelligent RAN architecture to deliver wireless connectivity, so all people can be connected whenever, wherever, and however they choose. We are engaged with over 50 global MNOs and have been recognized with over 74 industry awards. At the core of what we do is our team of Reimaginers who value innovation, collaboration, openness and customer success. For more information, visit: www.parallelwireless.com.







