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Tech Lead – MERN Stack

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Tech Lead – MERN Stack

Talent Hire Recruitment

Tech Lead – MERN Stack

Skills

MongoDBNodeTypescriptTesting & QAMicroservicesExpressAWS LambdaRedisAIAWSGitHub

21 hours ago

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Important information


Contract type:

Permanent

Location:

Cairo, Cairo Governorate, Egypt

Work mode:

Onsite

Published on:

24 October 2026

What they need


Company: Beyond Apps Group company

Location: Cairo, Egypt | On-site

Employment Type: Full-Time

Your Contributions

Job Description: We are seeking an experienced and hands-on Lead Software Engineer to own the technical direction of our platform and lead a team of full stack engineers. The role has a strong focus on system architecture, security, and API and web performance, built on microservices and event-driven architecture using the MERN stack. The ideal candidate combines deep technical expertise with strong project management and communication skills, and actively uses AI tools to raise the team’s speed and quality. Your primary goal will be to build scalable, secure, high-performing systems and lead a team that delivers them predictably.

Key Responsibilities

Technical Leadership & Team Management

  • Lead, grow, and coach a team of full stack engineers, staying hands-on with architecture, code, and technical decisions rather than managing from a distance.
  • Conduct code reviews and provide clear, constructive feedback that raises the team’s engineering bar.
  • Establish coding standards, development processes, and quality assurance practices, including testing strategy and CI/CD.

System Architecture

  • Own the end-to-end system architecture of the platform, from API design to deployment.
  • Design and evolve scalable systems using microservices and event-driven architecture, defining service boundaries, integration patterns, and data ownership.
  • Collaborate with product managers and partners to define technical requirements and drive architectural decisions.
  • Document key technical decisions and trade-offs, balancing delivery speed with long-term maintainability.

Performance & Reliability (API & Web)

  • Optimize API performance: latency, throughput, error rates, caching, and query optimization.
  • Optimize web performance: Core Web Vitals, bundle size, rendering, and load times.
  • Build observability across services, including logging, metrics, distributed tracing, and alerting, to ensure high reliability and uptime.

Delivery & Project Management

  • Oversee the entire software development lifecycle, from concept to deployment and maintenance.
  • Manage project timelines, resources, and deliverables to ensure predictable, high-quality releases.
  • Communicate technical plans, progress, risks, and trade-offs clearly to technical and non-technical stakeholders.

AI & Innovation

  • Drive effective and safe use of AI tools across the team for coding, code reviews, testing, and documentation.
  • Stay up-to-date with emerging technologies and industry trends, recommending and implementing improvements as needed.

Required Qualifications:

  • 7+ years of professional software engineering experience, including 3+ years in a technical leadership role (tech lead or team lead).
  • 5+ years of hands-on experience with Node.js and Express.js in production (TypeScript preferred).
  • Deep knowledge with MongoDB, including data modeling, indexing, aggregation pipelines, and performance tuning; experience with Redis for caching.
  • Knowledge with designing and building microservices and event-driven systems.
  • Knowledge with cloud platforms (AWS preferred) and CI/CD Pipeline.
  • Strong practical knowledge of application and API security (OWASP Top 10, OAuth2/JWT, secure cloud configuration).
  • Proven track record of measurable API and web performance improvements.
  • Strong project management skills: breaking down work, estimating, managing priorities, and delivering on time.
  • Excellent communication skills in English, both written and verbal.
  • Daily, practical use of AI tools (e.g. Claude, Cursor, GitHub Copilot) in the development workflow.

Preferred:

  • Experience building products on top of LLM or generative AI APIs.
  • Experience with serverless architecture (AWS Lambda or similar).

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