[Hiring] Lead Software Engineer @Vertex Inc.

Role Description

Vertex is seeking a Lead Software Engineer to drive performance engineering, AI‑driven automation, and technical leadership across our cloud‑native SaaS platform. This role is highly hands‑on and highly influential—owning the design and delivery of scalable performance solutions, intelligent automation, and AI‑powered workflows that materially improve engineering outcomes. You will serve as a technical authority and force multiplier, embedding with engineering teams to ensure performance, reliability, and scalability are built in from day one.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience (Master’s preferred)
• 8–10 years experience in software and performance engineering
• 3+ years building cloud‑native SaaS systems
• Demonstrated success leading technical initiatives and mentoring engineers
• Experience delivering AI/ML or Generative AI solutions in production strongly preferred

Requirements

• Leadership & Technical Influence Across the Organization
  • Proven ability to lead architecture and engineering decisions
  • Experience mentoring engineers and setting technical standards at scale
• Advanced Software Engineering & Automation
  • Hands‑on development of production‑grade systems and automation
  • Strong foundation in modern, object‑oriented languages (C#, Java, Go, or similar)
• GitHub & Repo Hygiene (Including GitHub Actions)
  • Expert use of GitHub for collaboration, branching strategies, reviews, and automation
  • Version‑controlled test and automation infrastructure
• Performance Test Infrastructure via Version Control
  • Designing and maintaining reusable, scalable performance test frameworks
  • CI‑integrated performance validation and regression detection
• Observability, Metrics & Telemetry Intelligence
  • Instrumentation of systems and tests using metrics, logs, and traces
  • Data‑driven diagnosis of latency, throughput, and bottlenecks
• General AI Literacy
  • Practical understanding of prompt design and structured prompting
  • Ability to work effectively with LLM APIs and AI tooling
• Distributed Workflow Orchestration
  • Designing and operating distributed workflows (AI agents + tool calling)
  • Experience orchestrating complex automation pipelines
• AI‑Driven Code & Test Scenario Generation
  • Using AI to generate test scenarios, code artifacts, and manifests
  • Focus on accelerating delivery while maintaining quality and governance
• Cloud Architecture (AWS, Azure, or GCP)
  • Designing and operating cloud‑native SaaS systems
  • Familiarity with Infrastructure as Code (Terraform, CloudFormation, Helm)
• CI/CD & DevOps‑Integrated Automation
  • Deep experience integrating automation into CI/CD pipelines
  • GitHub Actions, Azure DevOps, Jenkins, or equivalent
• AI Governance & Evaluation
  • Applying guardrails, evaluation metrics, and quality controls to AI systems
  • Ensuring reliability, safety, and repeatability of AI outputs
• Performance Modeling Expertise
  • Practical application of Little’s Law, USL, Amdahl’s Law
  • Queueing theory experience strongly preferred

Benefits

• Work on mission‑critical, global SaaS systems where performance truly matters
• Build AI‑driven engineering solutions with real, measurable impact
• Operate with high ownership and influence, not ticket‑driven execution
• Grow as a technical leader while shaping the future of intelligent performance automation

Company Description

• Our Core Values:
  • Own the Outcome: Commit to milestones and demonstrate unwavering support for team decisions. If you are unsure, ask!
  • Work with Purpose: Foster a "We Can" mindset where results outweigh effort; everyone understands how their roles contribute to team outcomes.
  • Act with Urgency: Adopt an agile mentality with a focus on quick iterations and resilience.
  • Communicate with Clarity: Be clear, concise, and actionable. Embrace constructive feedback.
  • Drive to Decision: Make decisions swiftly with defined deadlines and accountability.