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Engineering Manager / Lead (B2B SaaS, Fullstack)
Agentic AI Platform
Engineering Manager / Lead (B2B SaaS, Fullstack)
Agentic AI Platform's logo

Engineering Manager / Lead (B2B SaaS, Fullstack)

at Agentic AI Platform

Agency job
4 - 7 yrs
₹25L - ₹50L / yr
Gurugram
Skills
Microservices
API
Cloud Computing
skill iconJava
skill iconPython
skill iconGo Programming (Golang)
skill iconNodeJS (Node.js)
skill iconAngular (2+)
skill iconAngularJS (1.x)
skill iconDocker
Software Development
skill iconReact.js
skill iconVue.js
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
Axure
skill iconKubernetes
cicd
CI/CD
SaaS
Generative AI
Large Language Models (LLM)
Workflow

ROLES AND RESPONSIBILITIES:

We are looking for a Software Engineering Manager to lead a high-performing team focused on building scalable, secure, and intelligent enterprise software. The ideal candidate is a strong technologist who enjoys coding, mentoring, and driving high-quality software delivery in a fast-paced startup environment.


KEY RESPONSIBILITIES:

  • Lead and mentor a team of software engineers across backend, frontend, and integration areas.
  • Drive architectural design, technical reviews, and ensure scalability and reliability.
  • Collaborate with Product, Design, and DevOps teams to deliver high-quality releases on time.
  • Establish best practices in agile development, testing automation, and CI/CD pipelines.
  • Build reusable frameworks for low-code app development and AI-driven workflows.
  • Hire, coach, and develop engineers to strengthen technical capabilities and team culture.


IDEAL CANDIDATE:

  • B.Tech/B.E. in Computer Science from a Tier-1 Engineering College.
  • 3+ years of professional experience as a software engineer, with at least 1 year mentoring or managing engineers.
  • Strong expertise in backend development (Java / Node.js / Go / Python) and familiarity with frontend frameworks (React / Angular / Vue).
  • Solid understanding of microservices, APIs, and cloud architectures (AWS/GCP/Azure).
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Excellent communication and problem-solving skills.



PREFERRED QUALIFICATIONS:

  • Experience building or scaling SaaS or platform-based products.
  • Exposure to GenAI/LLM, data pipelines, or workflow automation tools.
  • Prior experience in a startup or high-growth product environment.
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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