Software Developer 3

Design, develop, troubleshoot and debug software programs for SaaS Observability, Cloud solution, databases, applications, tools etc.

As a member of the software engineering division, you will assist in defining and developing software for tasks associated SaaS Observability with the developing, debugging or designing of software applications. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs.

Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role. BS or MS degree or equivalent experience relevant to functional area. 4+ years of software engineering or related experience.

Qualifications:

• 4 to 5 years of professional software development experience, with a significant portion in a senior or lead role.
• Proficiency in Go Lang, Python, Shell, or PowerShell for scripting and automation.
• Hands-on experience with cloud-native development, Docker, and Kubernetes.
• Demonstrated experience with infrastructure-as-code tools such as Ansible, Terraform, or CloudFormation.
• Proven experience in REST API development and cloud integration.
• Practical experience with Generative AI, Prompting, and Agentic AI.
• Hands-on professional experience with the Prometheus stack (Grafana, Prometheus, Alert manager, Loki).
• Proficiency in query languages like PromQL, LogQL, TraceQL.
• Ability to develop, implement, and debug SQL/PL SQL scripts and work with various database platforms.
• Familiarity with or hands-on knowledge of OCI (Oracle Cloud Infrastructure) or other major cloud technologies like AWS, Azure, or GCP. Understanding of Sovereign, Distributed, and Multi-Cloud architectures is a significant plus.
• Experience with log processors or collectors (e.g., FluentBit, FluentD).
• Strong understanding of continuous integration and delivery tools (e.g., Jenkins, GitLab CI/CD).
• Solid grasp of networking concepts, security best practices, and infrastructure monitoring.
• Familiarity with AI platforms or open-source AI ecosystems.
• Exceptional problem-solving and troubleshooting skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Ability to adapt to changing technologies and thrive in a fast-paced environment.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.