Responsibilities: Lead the design and delivery of complex enterprise applications that support internal business functions using AWS Lambda, AWS Step Functions, Node.js, Python, React, and Postgres. Guide the design and implementation of moderately to highly complex systems, making tradeoffs, presenting proposals, and ensuring quality delivery. Apply expertise in cloud environments, serverless functions, and LLM-based applications to deliver scalable, secure, and intelligent solutions. Significantly improve application security, reliability, performance, and ease of operations. Represent the team as a technical contact in cross-functional discussions with stakeholders and partners. Manage and develop a small team of junior software engineers; conduct 1:1s, performance reviews, and career development discussions. Provide coaching, feedback, and mentorship to foster a culture of accountability, technical excellence, and continuous learning. Drive team execution through planning, tracking, and visibility, ensuring delivery aligns with organizational priorities. Participate in technical hiring and help grow the Enterprise Applications team within Tech Ops. Requirements Bachelor's in computer science, Engineering, or related field 8 years of professional software development experience, with at least 2+ years in a team leadership or management role. Collaborate on MCP server development, AI agent design, and LLM optimization to enhance system capabilities Proven expertise with AWS Lamda, AWS Step Functions, Node.js, Python, React, Postgres, and modern enterprise application development. Experience with cloud platforms (AWS, Azure, GCP), serverless architectures, and building integrations with LLM-powered applications and agents. Ability to effectively leverage AI in the development workflow (e.g., code generation, test automation, debugging, architecture exploration) to improve productivity, quality, and innovation. Expertise in implementing and optimizing Single Sign-On (SSO) integrations across enterprise platforms to enhance secure user authentication and seamless access. Solid foundation in distributed systems, API design, and application security. Demonstrated ability to independently deliver complex solutions while leading others. Strong communication and collaboration skills; able to represent engineering in cross-functional discussions. Track record of mentoring engineers and contributing to technical hiring. Preferred Qualifications: Background in building IT applications for sales, support, or marketing functions. Familiarity with DevOps practices, CI/CD, and test automation.

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.