The Role We’re looking for an exceptional, hands-on Principal Software Engineer to serve as the most senior individual contributor in our engineering organization. You’ll develop a deep understanding of our entire technology ecosystem, shape the long-term technical architecture, and establish the engineering practices that enable teams to build reliable, scalable systems at speed. You'll dedicate approximately half your time to advancing agentic engineering, transforming how we develop, review, test, and ship software through AI-powered automation. The remaining time will focus on solving the most critical engineering challenges across the organization, wherever your expertise can create the greatest impact. What You’ll Be Doing Own Technical Architecture: Develop a comprehensive understanding of our platforms, infrastructure, and engineering ecosystem to shape long-term architectural direction and guide critical technical decisions. Lead Agentic Engineering: Design and implement AI-driven engineering workflows, autonomous coding agents, and intelligent automation across the software development lifecycle. Transform Code Review & Delivery: Drive an initial goal of making 30% of pull requests eligible for automated approval within the first 3 months, through reliable AI-powered reviews, automated validation, and clearly defined quality gates. Solve Critical Engineering Challenges: Take ownership of the organization's highest-priority technical problems, from complex architectural bottlenecks and reliability issues to platform scalability and urgent cross-team initiatives. Establish Engineering Excellence: Define and champion engineering standards across system design, code quality, testing, observability, reliability, security, and maintainability. Build Developer Infrastructure: Improve CI/CD pipelines, developer tooling, automated testing, and internal engineering workflows to increase velocity and reduce manual overhead. Drive Cross-Platform Alignment: Identify architectural inconsistencies, reduce technical debt, and introduce reusable patterns and shared infrastructure across engineering teams. Stay Deeply Hands-On: Write production-grade code, build prototypes, review complex implementations, debug critical issues, and lead by example through direct technical contributions. Provide Organization-Wide Technical Leadership: Mentor senior and staff engineers, influence technical strategy, and raise the engineering bar without relying on formal management authority. What We’re Looking For 12+ years of software engineering experience, with a proven track record of operating at Staff, Principal, or equivalent technical leadership levels. Exceptional hands-on engineering expertise in Python, TypeScript, or similar languages, with extensive experience building and operating complex production systems. Deep systems architecture experience across distributed systems, microservices, APIs, cloud infrastructure, databases, and large-scale platform engineering. Practical experience with agentic engineering, including AI coding agents, LLM integrations, tool calling, orchestration, automated code review, and autonomous development workflows. Strong understanding of software quality and delivery, including automated testing, CI/CD, code review systems, observability, security, and production reliability. Proven ability to drive technical strategy across multiple teams, establish engineering standards, and influence architectural decisions at an organizational level. Experience improving developer productivity through engineering automation, internal tooling, infrastructure improvements, and measurable process optimization. Exceptional problem-solving and execution skills, with the ability to rapidly understand unfamiliar systems, navigate ambiguity, and resolve high-impact technical challenges. Strong technical communication and mentorship skills, with the ability to align engineering teams, challenge assumptions, and drive adoption of better engineering practices. Preferred Qualifications Experience in AI research labs, AI-native companies, or high-growth technology startups. Hands-on experience with AI coding agents and autonomous development systems, including tools such as Claude Code, Codex, Cursor, or similar technologies. Experience designing agentic software development pipelines, including automated PR generation, code review, testing, validation, and deployment workflows. Familiarity with agent orchestration frameworks, MCP, tool-use architectures, context engineering, and evaluation frameworks. Experience leading organization-wide architectural transformations, platform modernization, or developer productivity initiatives. Background in AI/ML infrastructure, data-intensive systems, or human data platforms supporting model training and evaluation. Experience defining and measuring engineering effectiveness metrics, including deployment frequency, change failure rate, review cycle time, and automation coverage.

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.