TL;DR

Software Engineer (AI): Designing and building the next generation of cloud-native storage management solutions leveraging Agentic AI and modern microservices with an accent on automating operations and unlocking data-driven insights. Focus on core architectural components and driving significant business transformation through close collaboration with product and platform teams.

Location: Santa Clara, California

Salary: $145,000 - $218,000 USD

Company

%hirify_global% is fundamentally reshaping the data storage industry.

What you will do

Architect and deliver highly reliable, scalable microservices using Java, Python, or Golang, primarily leveraging core AWS services (EC2, S3, Lambda, DynamoDB) and container orchestration (Kubernetes).
Drive digital transformation by developing and integrating innovative Agentic AI capabilities to create autonomous, context-aware systems that enhance operational efficiency and system intelligence for our storage platforms.
Own the full software development lifecycle —from ideation, system design, and coding to rigorous testing, deployment, and continuous enhancement.
Optimize system performance and fault tolerance by conducting deep software analysis, implementing effective load balancing, and proactively tuning components to meet high-availability and security standards.
Collaborate across engineering and product teams to ensure seamless integration of new software components with existing infrastructure.

Requirements

Deep Proficiency in Software Design and Development: Strong practical experience in architecting, building, and scaling distributed microservices using object-oriented design principles and a mastery of at least one of these core languages: Java, Python, or Golang.
Expertise in Cloud-Native and AWS Services: Extensive hands-on experience designing and deploying production-grade applications on Amazon Web Services (AWS), including a strong working knowledge of fundamental services such as EC2, S3, Lambda, and DynamoDB.
Advanced Agentic AI & Systems Intelligence: Proven ability to build and integrate autonomous, context-aware systems, including practical experience with agent code design, embeddings, and applying the Model Context Protocol (MCP) to enhance system intelligence.
Architectural and Operations Acumen: A solid understanding of DevOps/DevSecOps practices, containerization (Docker), and orchestration (Kubernetes), coupled with excellent analytical and problem-solving abilities to ensure software quality, maintainability, and high availability.

Culture & Benefits

Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.
Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful.
Pure Team: We build each other up and set aside ego for the greater good.
Flexible time off, wellness resources and company-sponsored team events.