About the Company
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.
To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).
About the role
We are looking for a talented and experienced Software Developer experienced in the Kubernetes ecosystem to join our team. The ideal candidate will have a strong understanding of cloud computing technologies, as well as experience with developing and maintaining large-scale distributed systems.
The position will involve designing, developing and maintaining software tools and components that leverage Kubernetes, Cluster API, and Operator patterns to automate and manage Kubernetes clusters. Your work will enable the organization to deploy and operate Kubernetes clusters efficiently and reliably across various cloud and on-premises environments. If you are a highly motivated individual with a passion for cutting-edge AI, cloud, edge, and infrastructure technology and are ready to take on the challenge of defining and delivering a new computing and AI platform, we would love to hear from you.
Responsibilities:
- Cluster Provisioning: Implement automation workflows for provisioning and scaling Kubernetes clusters on different cloud providers or on-premises infrastructure.
- Monitoring and Maintenance: Develop tools and processes for monitoring cluster health and automating routine maintenance tasks to ensure cluster reliability and performance.
- Security: Implement security best practices and controls in the management of Kubernetes clusters, including RBAC, network policies, and encryption.
- Collaboration: Collaborate with cross-functional teams, including DevOps, SREs, and Infrastructure teams, to ensure seamless integration of Kubernetes clusters into the organization's infrastructure.
- Troubleshooting: Investigate and resolve issues related to cluster deployments, scaling, and management in a timely manner.
- Community Involvement: Engage with the Kubernetes and Cluster API communities, contribute to open-source projects, and stay up-to-date with industry best practices and emerging technologies.
Qualifications:
- Bachelor's degree in computer science or a related field
- 5+ years of experience in software development, with a focus on backend development and Kubernetes and container technologies
- Strong understanding of cloud computing technologies, such as AWS, Azure, or Google Cloud Platform
- Experience with developing and maintaining large-scale distributed systems
- Experience with object-oriented programming languages, such as Java, Python, or Go
- Experience with testing and debugging software
- Experience with Azure Stack, Google Anthos and similar edge deployment mechanisms is preferred
This will be a hybrid role that with 3 days a week in our Bellevue office
We are an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. We make hiring decisions based solely on qualifications, merit, and business needs at the time.
The pay range for this role is:
134,400 - 189,000 USD per year (US - Seattle/Bellevue Area)