Engineering Lead
CodeRound AI · Remote · remote · Posted 42d ago
Undisclosed7–12 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Responsibilities
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
An AI-powered logistics and delivery management platform that helps businesses optimize, manage, and scale their last-mile delivery operations. Lead the design and development of scalable, reliable, and high-performance backend systems. Own technical architecture and make key engineering decisions across products and platforms. Build and optimize systems handling real-time workflows, high transaction volumes, and complex integrations. Collaborate closely with product and business teams to translate requirements into robust technical solutions. Drive engineering best practices around code quality, system reliability, security, testing, and observability. Mentor and guide engineers through technical challenges, code reviews, and architectural discussions. Identify performance bottlenecks and proactively improve system scalability and reliability. Take ownership of critical projects from architecture and development through deployment and production support. We are looking for a highly skilled and hands-on Lead Engineer to drive the architecture, development, and scalability of our core technology platform. You will lead the development of high-performance systems powering complex, real-time operations while working closely with product, engineering, and business teams. This role is ideal for someone who enjoys solving complex engineering problems, building scalable distributed systems, and mentoring high-performing engineering teams.
Responsibilities
- Lead the design and development of scalable, reliable, and high-performance backend systems.
- Own technical architecture and make key engineering decisions across products and platforms.
- Build and optimize systems handling real-time workflows, high transaction volumes, and complex integrations.
- Collaborate closely with product and business teams to translate requirements into robust technical solutions.
- Drive engineering best practices around code quality, system reliability, security, testing, and observability.
- Mentor and guide engineers through technical challenges, code reviews, and architectural discussions.
- Identify performance bottlenecks and proactively improve system scalability and reliability.
- Take ownership of critical projects from architecture and development through deployment and production support.
- We are looking for a highly skilled and hands-on Lead Engineer to drive the architecture, development, and scalability of our core technology platform.
- You will lead the development of high-performance systems powering complex, real-time operations while working closely with product, engineering, and business teams.
- This role is ideal for someone who enjoys solving complex engineering problems, building scalable distributed systems, and mentoring high-performing engineering teams.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Technical ArchitectureProduct Engineeringdelivery operationsSecurity TestingLogisticsBackendDelivery ManagementArchitectureProduction SupportDistribution System
About Coderound Ai
CodeRound AI
Mumbai
US
About
CodeRound AI develops an AI-powered recruitment and assessment platform designed to streamline hiring processes for technology roles. Its solutions enable companies to evaluate candidates through automated coding tests, skill assessments, and data-driven insights. By combining artificial intelligence with recruitment workflows, CodeRound AI helps organizations improve efficiency, reduce bias, and make smarter talent acquisition decisions.
Industries
Artificial Intelligence (AI)Information TechnologyRecruitingSaaSSoftware
Employee ratings
1 reviews
1.0/ 5
Culture
1.0
Career growth
1.0
Work-life
1.0
Find them on