At Nymbis, we're committed to delivering exceptional cloud and infrastructure services that empower our clients. This Senior Software Engineer role is critical for ensuring the stability, scalability, and efficiency of our software. You will be responsible for designing, building, and maintaining software that enables our core and supporting services. This includes developing general-purpose tools and systems, integrations, and automation solutions to streamline operations and improve overall system performance. A key element of this role will be exploring and implementing Large Language Models (LLMs) and agentic workflows to enhance platform capabilities and create innovative solutions for our clients. Your work directly impacts the reliability, agility, and innovation of our service delivery.
High-Level Job Objectives
General Software Development:
Design, develop, test, and maintain a wide range of software solutions, including standalone systems, integrations, automation scripts, and general-purpose tools.
Platform Tooling:
Build and maintain essential platform tooling to support our infrastructure, including monitoring, deployment, and management tools.
Automation Development:
Develop robust automation scripts and tools using languages such as PowerShell, Python, and potentially others as needed.
LLM Exploration & Integration:
Research, evaluate, and implement Large Language Models (LLMs) and agentic workflows to enhance platform capabilities and create new client solutions.
Software Engineering Best Practices:
Employ software engineering principles, including version control (Git), testing, and documentation, in all development activities.
Integration and API Development:
Develop integrations with external systems and build/consume APIs to enhance platform capabilities.
Performance Monitoring & Optimization:
Monitor system performance, identify bottlenecks, and implement solutions to optimize efficiency.
Collaboration:
Work closely with operations, security, and development teams to ensure the platform meets their needs.
Continuous Improvement:
Proactively identify opportunities to improve automation, tooling, and platform architecture.
Code Review:
Participate in code reviews to ensure code quality and adherence to standards.
Qualifications
Grade 12 Essential
Bachelor's degree in computer science, Information Technology, or a related field preferred.
Certification in AWS Certified Solutions Architect, Azure Certified Solutions Architect, or GCP Certified Professional Cloud Architect.
Related Work Experience
Strong Software Engineering Foundation:
Demonstrated experience in software development, with a solid understanding of data structures, algorithms, and design patterns.
Scripting Proficiency:
Expert-level scripting skills in PowerShell and Python; familiarity with other languages (e.g., PHP, Bash) is a plus
Version Control (Git):
Extensive experience with Git and related workflows.
Cloud Experience:
Experience working with cloud platforms (AWS, Azure, GCP).
Job Knowledge
Knowledge of network routing and core principles
Strong understanding of Linux containers and virtual machines
Good understanding of software development principles
Demonstrable knowledge of infrastructure-as-code and automation
Job Skills
Proven software development, DevOps or system administration experience
Experience with containerization technologies (Docker, Kubernetes).
Experience with HashiCorp Nomad, Kubernetes, etc.
Infrastructure-as-Code tools Terraform, Ansible, Salt Stack, etc
CircleCI, GitHub Actions, GitLab CI, etc
Experience with LLM frameworks and tools (LangChain, LlamaIndex).
Strong knowledge of security exploits and their mitigations
* Contributions to open-source projects.
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