Lead Forward Deployment Engineer

Cerebras; Bengaluru; On-site; INR 4,500,000 - 6,000,000; Full time

Job summary

Cerebras in Bengaluru is seeking an architect-level Lead Engineer to own internal tools, replacing enterprise SaaS platforms. You will design scalable backend services, own CI/CD, and mentor new graduates while delivering AI-augmented software from scratch.

You will work with stakeholders to translate use cases into technical designs, build end-to-end pipelines, and ensure production readiness with robust security and observability practices.

Qualifications

• 7+ years building production-grade, full-stack apps.
• Proven distributed systems design and refactoring.
• Experience with Kubernetes, Docker, and cloud providers.

Responsibilities

• Design scalable backend services and data models.
• Understand business use cases and translate to designs.
• Host and scale internal applications from scratch.
• Own end-to-end CI/CD pipelines with automated testing.
• Mentor new graduates and junior engineers.
• Collaborate with Sales, PM, and other teams.

Skills

Backend architecture

System design

Kubernetes

Docker

Cloud platforms (AWS/GCP)

Full-stack development (Python/Node.js

CI/CD pipelines

AI-assisted development

Security in SDLC

Tools

GitHub Actions

GitLab CI

Jenkins

Job description

About The Role:

We are looking for an architect-level Lead Engineer to own our custom internal tools initiative. You will lead a lean, AI-augmented team to design, build, and operate internal software that replaces major enterprise SaaS platforms. This role combines strong backend architecture and system design with hands-on delivery: you will define the technical blueprints, host and scale applications from scratch, and mentor new college graduates into productive engineers.

What You'll Do:

• Backend Architecture & System Design: Design scalable backend services, data models, and integration architectures for internal tools replacing complex SaaS platforms. Set and enforce architectural standards across the team.


• Understanding Use Cases: Work directly with stakeholders to understand business use cases deeply, translate ambiguous requirements into clear technical designs, and make pragmatic build-vs-buy and scope trade-offs.


• Hosting & Scaling from Scratch: Own the full lifecycle of internal applications — provisioning infrastructure, deploying, scaling, monitoring, and operating them in production.


• CI/CD Ownership: Build and maintain end-to-end CI/CD pipelines with automated testing, code scanning, and branch-protection guardrails — the definitive quality gate for all code, including AI-generated code.


• AI-Assisted Development: Use AI development tools (e.g., Claude Code, Cursor) to accelerate delivery, and establish team practices for reviewing, refactoring, and hardening AI-generated code.


• Cross-Functional Collaboration: Partner with Sales, Pre-Sales, Project Management, and other internal teams to prioritize work, gather feedback, and iterate quickly.


• Technical Mentorship: Guide new college graduates and junior engineers on architectural first principles, code quality, security, and effective AI-assisted development.

What You Bring:

• 7+ years building production-grade, full-stack applications (e.g., Python, Node.js, Go, React, relational and vector databases).


• Strong backend architecture and system design skills — proven ability to design distributed systems and critically evaluate, refactor, and modularize sub-optimal code, including LLM-generated code.


• Core knowledge of Kubernetes, Docker, cloud platforms (AWS/GCP), and distributed systems; experience running multi-service containerized environments in production.


• Demonstrated experience hosting and scaling internal applications from scratch, including building CI/CD pipelines end to end (GitHub Actions, GitLab CI, or Jenkins).


• Adept with AI development tools and agentic coding workflows; hands‑on experience using them to ship real products.


• Working knowledge of secure SDLC practices: automated static/dynamic code scanning, secret detection, and OWASP Top 10 awareness built into the pipeline.


• Strong cross-functional collaboration and communication skills; able to work directly with non-engineering stakeholders and turn use cases into shipped software.


• Track record of mentoring junior engineers.