Engineering Lead

What do you need for this opportunity?

Looking for:

Were looking for a hands-on engineering lead to own the delivery of our GenAI-centric product from the backend up to the UI while integrating visual AI pipelines built by ML engineers.

Youll be both a builder and a leader: writing clean Python, Java and TypeScript, scaling AWS-based systems, mentoring engineers, and making architectural decisions that stand the test of scale. You wont be working in a silo this is a role for someone who thrives in fast-paced, high-context environments with product, design, and AI deeply intertwined.

(Note: This role requires both technical mastery and leadership skills - we're looking for someone who can write production code, make architectural decisions, and lead a team to success.)

What Youll Do

Lead development of our Java, Python (FastAPI), and Node.js backend services on AWS

Deploy ML pipelines (built by the ML team) into containerized inference workflows using FastAPI, Docker, and GPU-enabled ECS EC2.

Deploy and manage services on AWS ECS/Fargate, Lambda, API Gateway, and GPU-powered EC2

Contribute to React/TypeScript frontend when needed to accelerate product delivery

Work closely with the founder, product, and UX team to translate business needs into working product

Make architecture and infrastructure decisions from media processing to task queues to storage

Own the performance, reliability, and cost-efficiency of our core services

Hire and mentor junior/mid engineers over time

Drive technical planning, sprint prioritization, and trade-off decisions

A customer-centric approach you think about how your work affects end users and product experience, not just model performance

A quest for high-quality deliverables you write clean, tested code and debug edge cases until theyre truly fixed

The ability to frame problems from scratch and work without strict handoffs you build from a goal, not a ticket.

Skills & Experience We Expect

Core Engineering Experience

6-8 years of professional software engineering experience in production environments

2-3 years of experience leading engineering teams of 5+ engineers

Cloud Infrastructure & AWS Expertise (5+ years)

Deep experience with AWS Lambda, ECS, and container orchestration tools

Familiarity with API Gateway and microservices architecture best practices

Proficient with S3, DynamoDB, and other AWS-native data services

CloudWatch, X-Ray, or similar tools for monitoring and debugging distributed systems

Strong grasp of IAM, roles, and security best practices in cloud environments

Backend Development (5-7 years)

Java: Advanced concurrency, scalability, and microservice design

Python: Experience with FastAPI, building production-grade MLops pipelines

Node.js & TypeScript: Strong backend engineering and API development

Deep understanding of RESTful API design and implementation

Docker: 3+ years of containerization experience for building/deploying services

Hands-on experience deploying ML inference pipelines (built by ML team) using Docker, FastAPI, and GPU-based AWS infrastructure (e.g., ECS, EC2) 2+ years

System Optimization & Middleware (3-5 years)

Application performance optimization and AWS cloud cost optimization

Use of background job frameworks (e.g., Celery, BullMQ, AWS Step Functions)

Media/image processing using tools like Sharp, PIL, Imagemagick, or OpenCV

Database design and optimization for low-latency and high-availability systems

Frontend Development (2-3 years)

Hands-on experience with React and TypeScript in modern web apps

Familiarity with Redux, Context API, and modern state management patterns

Comfortable with modern build tools, CI/CD, and frontend deployment practices

System Design & Architecture (4-6 years)

Designing and implementing microservices-based systems

Experience with event-driven architectures using queues or pub/sub

Implementing caching strategies (e.g., Redis, CDN edge caching)

Architecting high-performance image/media pipelines

Leadership & Communication (2-3 years)

Proven ability to lead engineering teams and drive project delivery

Skilled at writing clear and concise technical documentation

Experience mentoring engineers, conducting code reviews, and fostering growth

Track record of shipping high-impact products in fast-paced environments

Strong customer-centric and growth-oriented mindset, especially in startup settings able to take high-level goals and independently drive toward outcomes without requiring constant handoffs or back-and-forth with the founder

Proactive in using tools like ChatGPT, GitHub Copilot, or similar AI copilots to improve personal and team efficiency, remove blockers, and iterate faster.