Engineering Lead at CRED

Engineering Lead  Job Description

We are seeking an exceptional Engineering Lead to guide and scale our engineering organization while driving innovation across web, mobile, AI, and automation-powered platforms. In this high-impact leadership role, you will shape engineering strategy, mentor teams, define best practices, and ensure the rapid delivery of high-quality features that move the business forward.

The Engineering Lead will partner closely with Product, DevOps, QA, and AI/ML teams to build scalable systems, streamline development workflows, and maintain strong engineering standards across our entire technology stack.

Key Responsibilities:

• Lead and scale the engineering function with a strong delivery mindset — shipping high-quality features weekly
• Drive innovation around multi-platform builds, from web to Chrome and native mobile apps
• Own and evolve internal processes around CI/CD, QA automation, observability, and DevOps
• Design and build internal tools to automate development, QA, and data workflows, powered by AI
• Work closely with Product to scope and plan features, break down technical work, and ensure quality and stability
• Mentor and motivate engineers through structured sprint planning, accountability, and growth conversations
• Set standards for code quality, documentation, testing, and deployments
• Guide architectural decisions across products including our web and mobile apps, AI agent, Chrome extension, data platform, and integrations
• Maintain a strong pulse on delivery, helping to unblock technical issues and prioritise ruthlessly

What We’re Looking For

Must-Haves:

• 6–10+ years of hands-on engineering experience, with at least 2+ years in engineering leadership roles
• Familiarity across our tech stack (Node.js, Python, SQL, React, iOS, Android)
• Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cycles
• Strong background in DevOps and QA best practices — CI/CD pipelines, automated testing, infrastructure as code
• Experience building and scaling data-rich products — including APIs, integrations, scraping tools, or cloud platforms
• AI-native mindset — you actively look for ways to integrate LLMs and automation into engineering processes
• Experience collaborating with cross-functional teams, working closely with product and design
• Passion for hands-on work — you enjoy building, debugging, and exploring technical edge cases
• Excellent communication and storytelling — you can translate complexity for any audience and align teams around a plan
• High ownership and bias for execution — you take pride in results and always find a way to move things forward

Bonus Points For:

• Background in data integration, CRM, sales/marketing tooling or AI-first products
• Experience with data science models and building AI/ML infrastructure & AI-first products
• Strong cloud infrastructure skills (AWS, GCP, or Azure)
• Built internal tools or systems for QA automation, observability, or CI/CD workflows
• Familiarity with building Chrome extensions, Mac apps, or multi-platform tooling

Sound like you?

If you’re a structured, hands-on engineering leader who thrives on accountability, shipping fast, and building AI-native infrastructure — let’s talk.