Director of Engineering

This role is for one of the Weekday's clients

Salary range: Rs 8000000 - Rs 10000000 (ie INR 80-100 LPA)

Requirements

What You'll Do

• Proactively unblock engineering teams, challenge flawed assumptions, and clarify ambiguity before it leads to project delays.
• Partner closely with team leads to maintain high delivery velocity, stepping in when accountability or alignment drops.
• Balance short-term execution priorities with a strategic lens on long-term platform scalability across diverse technology stacks.
• Focus on building features that solve real customer problems, rather than just checking boxes from a product requirements document.
• Occasionally review code or system architecture during critical phases or escalations, providing valuable technical guidance.
• Support team growth and development by mentoring mid-level engineers, spotting skill gaps early, and identifying high-potential individual contributors.
• Operate fluently with modern collaboration and engineering tools (e.g., Google Docs, Notion, GitHub, Teams, YouTrack, Jira, ChatGPT), and advocate for better tooling when necessary.
• Collaborate with product, UX, and QA teams to align on expectations and preemptively catch miscommunications or mismatches.
  

What You Must Bring

• 8+ years of engineering experience, including 2-3 years in a senior leadership or director-level position.
• Proven track record of delivering high-impact projects within B2B SaaS or product-driven startup environments.
• Strong technical fluency across cloud-first architectures (AWS), API design, and visual web applications.
• Minimum 3 years of hands-on AWS experience with services like EC2, ECS, Lambda, API Gateway, CloudWatch, and IAM — with a sound understanding of cost, reliability, and architectural trade-offs.
• Experience working with frontend frameworks like React, especially in products with rich visual UX or creative/editor interfaces.
• Familiarity with backend technologies such as FastAPI, Python, and Java/Spring, with the ability to evaluate technical decisions and guide implementations.
• 1+ years of experience with AI/ML or MLOps workflows, including deploying models via FastAPI, Docker, or on GPU-enabled ECS instances.
• Exposure to CI/CD pipelines (e.g., AWS CodeBuild/CodeDeploy), containerization (Docker), and monitoring/debugging tools (e.g., Datadog, CloudWatch).
• Strong product intuition—able to anticipate when a feature may not meet user needs, even if technically complete.
• Excellent written communication skills—able to produce specifications, documentation, and team feedback independently, without relying on senior executives for clarity.
  

Key Skills

• MLOps
• Machine Learning Deployment
• Cloud Infrastructure (AWS)
• API Design
• React
• FastAPI
• Engineering Leadership
• CI/CD
• Product Engineering