Engineering Lead
- Uplers
- 6 - 10 years
- Mumbai
- 13 days ago
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Job Description
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote What do you need for this opportunity?
Must have skills required:
ML, Python
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.
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Quality Assurance and TestingRole: Blockchain Quality Assurance EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Mumbai
Keyskills: python dynamo db aws lambda ecs aws rest rest api design backend development microservices docker containerization react.js amazon ec2 node.js java lambda expressions cloud infrastructure container orchestration software engineering api crop ml
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Uplers
Uplers is a one-stop digital services company delivering end-to-end web, design, digital marketing, and email production services to businesses and agencies across 52+ Nations. Backed by a team of 550+ digital expert.
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