Software Engineering Lead/Principal

Who you are

• Experience: 12+ years of experience in software development, test automation framework architecture, and performance engineering in enterprise-grade SaaS or distributed systems environments
• Strong coding skills in at least one modern language: Java, Python, or TypeScript/Node.js
• Hands-on experience with modern UI and API testing frameworks (e.g., Playwright, Selenium WebDriver, Cypress, RestAssured, Postman)
• Deep expertise with load and performance tools such as K6, JMeter, or Locust, alongside APM and observability tools like Grafana, Prometheus, New Relic, or Splunk
• Familiarity with AWS (or GCP/Azure), containerization (Docker), orchestration (Kubernetes), and CI/CD tools
• BS or MS in Computer Science, Software Engineering, or equivalent practical experience
• Salesforce Ecosystem: Prior experience with Apex, Lightning Web Components (LWC), Data Cloud, or Agentforce ecosystem testing
• AI-Driven Workflows: Experience utilizing AI coding/testing assistants (e.g., Claude Code, GitHub Copilot, Cursor) or testing LLM/RAG pipelines
• Database Optimization: Strong understanding of SQL query tuning, indexing strategies, and relational/NoSQL database performance behavior
• Ability to support and resolve complex customer escalations through deep technical debugging, root-cause analysis, and effective cross-functional collaboration

What the job involves

• As a Lead/Principal Engineer in Quality & Performance Excellence, you will operate at the intersection of quality architecture, intelligent test automation, performance engineering, and engineering excellence. You will drive AI-native engineering practices by establishing and scaling industry-leading approaches to quality, performance, reliability, and delivery across the organization
• You will enable engineering teams to deliver faster, safer, and more reliable customer outcomes through engineering standards, intelligent automation, quality governance, and continuous innovation
• In this role, you will work across engineering and product to shape how teams design, build, validate, and deliver software. You will leverage AI, intelligent automation, engineering rigor, and data-driven insights to accelerate delivery while continuously raising the bar for quality, reliability, scalability, and performance
• Drive quality strategy and engineering excellence by establishing customer usage models, comprehensive test strategies, and quality gates early in the architecture and development lifecycle
• Design and evolve resilient technical architectures that address complex functional, performance, scalability, reliability, and fault-tolerance challenges across systems
• Lead complex, cross-functional technical triage by identifying systemic and architectural flaw patterns and driving durable fixes across the Agentic Development Lifecycle (ADLC)
• Architect and build scalable quality engineering frameworks spanning UI, REST/gRPC APIs, microservices, and end-to-end workflows using Java, Python, and TypeScript/JavaScript
• Embed continuous quality into the software delivery lifecycle by integrating automated regression, monitoring, alerting, and sanity testing into modern CI/CD pipelines and developer workflows
• Architect scalable, production-like test environments using containerization and orchestration technologies such as Docker and Kubernetes, along with synthetic test-data generation capabilities
• Define and execute enterprise-scale performance strategies that model high-concurrency, customer workloads using JMeter, k6, and custom performance harnesses
• Lead deep-dive performance analysis across distributed systems by analyzing CPU, memory, database, network, and execution-profiling metrics to identify bottlenecks and systemic performance issues across microservices and multi-tenant platform
• Leverage AI and intelligent automation to transform quality and performance engineering from reactive validation into proactive, continuous engineering intelligence across the development lifecycle

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year