As a senior member of the team, you will have ownership of critical components that execute hundreds of thousands of provisioning actions daily in a dynamic and reusable manner. Our tools are designed to meet customer needs by managing the state of these resources and supporting complex upgrade patterns, ensuring no breaking changes or resource destruction. When updating our service, we must consider our scale, limitations, and customer requirements. The service maintains and upgrades the nodes in the cluster to higher versions of Kubernetes without impacting customer workloads. Our architectural decisions influence the entire Fusion Apps organization, its customers, and tens of thousands of clusters and related OCI resources. You will be responsible for all stages of the software development lifecycle, from requirements gathering to coding, testing, CI/CD, and operational support.

Ideal candidates will have in-depth experience building, delivering, and operating cloud-native, highly available, distributed, and secure systems across multiple regions.

The team is primarily remote and spread across the US, India, and Europe. Communication is often asynchronous which requires high quality documentation, observability and ops practices. We encourage a strong sense of ownership for all team members and expect senior team members to be on the critical path.

As a member of the software engineering division, your primary responsibilities will include:

Identify and analyze performance bottlenecks across existing applications and infrastructure components, ensuring system efficiency and stability. Plan, write and execute comprehensive performance tests, providing actionable recommendations for code and system optimization. Collaborate closely with cross-functional teams throughout the software development lifecycle, embedding performance best practices from design to deployment. Continuously research, evaluate, and adopt emerging tools and technologies to enhance system performance, scalability, and reliability. Experience in performance automation tools is an added advantage. Proficiency in programming languages such as Java, JavaScript, or Golang is required. Experience running production workloads at scale on Kubernetes Experience with container-based deployment Experience with cloud services (OCI, AWS, GCP, Azure) Understanding of the Infrastructure-as-Code technologies, such as Terraform Experience with Kubernetes management and administration.  Strong sense of ownership and intelligent prioritization Ability to break down and solve complex problems Ability to communicate effectively both written and verbally Expertise in architecture following cloud native patterns Aptitude to evaluate, select and learn new languages and technologies Basic understanding of networking, load balancing and intra-cluster communication Understanding of the security aspects of development and commitment to quality code Experience designing and using APIs Experience with Unix-based environments Degree in Computer Science or related fields or equivalent experience