Software Engineering Lmts (Ai)

TL;DR

Software Engineering LMTS (AI): Enabling Agentic workflows and Agentic vision. Focus on complex or highly ambiguous features with highest quality and performance. Focus on maximizing engineering productivity while delivering a stable, secure, and performant experience to customers.

Location: San Francisco, Los Angeles

Company

hirify.global is a company delivers customer relationship management (CRM) software and applications focused on sales, service, marketing, analytics, and application development.

What you will do

• Use AI/ML skills for enabling Agentic workflows and Agentic vision.
• Be part of one or more development Scrum teams and own multiple features in their product area.
• Interface with customers to understand real-life usage and cross-functional aspects to develop and automate test plans.
• Work closely with cross-functional teams across geographies and support Scrum teams to ensure thorough testing.
• Troubleshoot production issues and develop test strategies to avoid incidents.
• Monitor product and feature-level quality health metrics.

Requirements

• A related technical degree required.
• 10+ years of experience in Development, performance and quality of very complex products with many micro services and dependencies.
• 2+ years of Experience of AI/ML Technologies - A2A and MCP protocols.
• 5+ years of experience in quality/performance engineering, systems optimization, or backend/frontend diagnostics with a lot of microservices.
• 5+ years of experience with microservices, and distributed systems in cloud environments Cloud & infrastructure skills (Kubernetes, Docker, AWS/GCP/Azure)
• Excellent written and verbal communication skills.

Nice to have

• Operating Systems architecture knowledge including security and programming interfaces.
• Experience high throughput, low latency, and plant scale software design and architecture.
• Experience with monitoring solutions, such as - Prometheus, Grafana, or Splunk
• Database expertise (PostgreSQL, Redis, NoSQL)
• Experience with DevOps, quality, and performance AI testing tools

Culture & Benefits

• Agile methodologies
• World-class quality at scale in a complex modern microservices environment.
• Driving actions at the right level to ensure that we can maximize engineering productivity
• Clear and courageous communication at all levels about the delivery risk and quality outlook of our products.