Senior Software Architecture Manager

Hubstaff blog; San Francisco (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

A fast-growing startup, Kumorai, seeks a Senior Software Architecture Manager to design innovative solutions using microservices and AI technologies. The role involves leading the development of scalable applications in a fully remote environment, fostering a culture of autonomy and innovation. Join a lean team dedicated to transforming infrastructure intelligence with a competitive compensation package and continuous learning opportunities.

Benefits

Continuous learning budget

Access to bleeding-edge tools

Collaboration in a lean team environment

Competitive compensation and performance-based incentives

Qualifications

• Proven experience in architecting applications using Python, C#, Angular, and .NET.
• Strong expertise with Azure and cloud-native services.
• Experience with CI/CD pipelines and Kubernetes.

Responsibilities

• Design and implement system architectures with focus on microservices.
• Lead development of AI-integrated applications using diverse technologies.
• Ensure performance and reliability of SQL and NoSQL databases.

Skills

Python

C#

Angular

.NET

Microservices

Cloud-native services

CI/CD

Kubernetes

Infrastructure automation

Education

Relevant certifications (e.g., Azure Solutions Architect, ML/AI certifications)

Tools

Azure

Terraform

Ansible

Job description

Senior Software Architecture Manager full time

Kumorai.io HQ: San Francisco, California, United States Remote job Jun 24

• Design and implement system architectures with a focus on microservices, event-driven design, and cloud-native services.
• Lead the development of AI-integrated applications using Python, C#, Angular, and .NET.
• Architect and build RAG (Retrieval-Augmented Generation) and Agentic AI systems.
• Leverage Azure for deploying and managing scalable, secure, and cost-effective cloud solutions.
• Ensure optimal performance and reliability of SQL and NoSQL databases.
• Drive best practices in CI/CD, code quality, and system performance.
• Stay current on emerging technologies and evaluate their fit for evolving business needs.
• Proven experience in architecting applications using Python, C#, Angular, and .NET.
• Strong hands-on expertise with Azure and cloud-native services (AKS, Azure Functions, etc.).
• Solid experience with CI/CD pipelines, Kubernetes, and IaC tools like Terraform or Ansible.
• Deep knowledge of system design, microservices architecture, and scalability patterns.
• Experience with both SQL and NoSQL data models.
• Demonstrated ability to build RAG-based AI/ML solutions leveraging Azure OpenAI, vector databases (e.g., FAISS, Pinecone, Azure AI Search).
• Experience building Agentic AI systems using frameworks like LangChain, Semantic Kernel, or similar.
• Strong architectural thinking and an ability to design distributed, modular systems.
• Exposure to Go programming.
• Knowledge of observability (e.g., OpenTelemetry, Prometheus, Grafana) and data pipelines.
• Familiarity with network, firewall, or infrastructure automation concepts is a plus.
• Relevant certifications (e.g., Azure Solutions Architect, ML/AI certifications).

Kumorai is a fast-growing startup focused on automating multi-cloud and data center infrastructure for enterprise clients. Our no-code platform enables global organizations to simplify the deployment and management of cloud, network, and security services across Azure, AWS, GCP, and on-prem environments.

• We’re not a big company with layers of bureaucracy. We’re a lean, highly technical team that believes in autonomy, experimentation, and moving fast without breaking trust. You’ll have ownership, impact, and the chance to build things no one else has.
• Work on the frontier of AI + Infrastructure.
• Fully remote with a collaborative, async-first culture.
• Work on innovative, AI-powered, and impactful projects across cloud and automation.
• A fast-paced, collaborative environment that values continuous learning.
• Continuous learning budget and access to bleeding-edge tools.
• Be part of a team shaping the next era of infrastructure intelligence.
• Competitive compensation and performance-based incentives.