Engineering Lead - AI - Driven MAM
- Uplers
- 6 - 10 years
- Mumbai
- 6 months ago
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Job Description
Experience: 6 + years
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote,New Delhi,Bengaluru,Mumbai Technical Lead
What youll own
Leading the re-architecture of Zooms database foundation with a focus on scalability, query performance, and vector-based search support
Replacing or refactoring our current in-house object store and metadata database to a modern, high-performance elastic solution
Collaborating closely with our core platform engineers and AI/search teams to ensure seamless integration and zero disruption to existing media workflows
Designing an extensible system that supports object-style relationships across millions of assets, including LLM-generated digital asset summaries, time-coded video metadata, AI generated tags, and semantic vectors
Driving end-to-end implementation: schema design, migration tooling, performance benchmarking, and production rolloutall with aggressive timelines
Skills & Experience We Expect
Were looking for candidates with 7-10 years of hands-on engineering experience, including 3+ years in a technical leadership role. Your experience should span the following core areas:
System Design & Architecture
(3-4 yrs)
Strong hands-on experience with the Java/JVM stack (GC tuning), Python in production environments
Led system-level design for scalable, modular AWS microservices architectures
Designed high-throughput, low-latency media pipelines capable of scaling to billions of media records
Familiar with multitenant SaaS patterns, service decomposition, and elastic scale-out/in models
Deep understanding of infrastructure observability, failure handling, and graceful degradation
Database & Metadata Layer Design
(3-5 yrs)
Experience redesigning or implementing object-style metadata stores used in MAM/DAM systems
Strong grasp of schema-less models for asset relationships, time-coded metadata, and versioned updates
Practical experience with DynamoDB, Aurora, PostgreSQL, or similar high-scale databases
Comfortable evaluating trade-offs between memory, query latency, and write throughput
Semantic Search & Vectors
(1-3 yrs)
Implemented vector search using systems like Weaviate, Pinecone, Qdrant, or Faiss
Able to design hybrid (structured + semantic) search pipelines for similarity and natural language use cases
Experience tuning vector indexers for performance, memory footprint, and recall
Familiar with the basics of embedding generation pipelines and how they are used for semantic search and similarity-based retrieval
Worked with MLOps teams to deploy ML inference services (e.g., FastAPI/Docker + GPU-based EC2 or SageMaker endpoints)
Understands the limitations of recognition models (e.g., OCR, face/object detection, logo recognition), even if not directly building them
Media Asset Workflow
(2-4 yrs)
Deep familiarity with broadcast and OTT formats: MXF, IMF, DNxHD, ProRes, H.264, HEVC
Understanding of proxy workflows in video post-production
Experience with digital asset lifecycle: ingest, AI metadata enrichment, media transformation, S3 cloud archiving
Hands-on experience working with time-coded metadata (e.g., subtitles, AI tags, shot changes) management in media archives
Cloud-Native Architecture (AWS)
(3-5 yrs)
Strong hands-on experience with ECS, Fargate, Lambda, S3, DynamoDB, Aurora, SQS, EventBridge
Experience building serverless or service-based compute models for elastic scaling
Familiarity with managing multi-region deployments, failover, and IAM configuration
Built cloud-native CI/CD deployment pipelines with event-driven microservices and queue-based workflows
Frontend Collaboration & React App Integration
(2-3 yrs)
Worked closely with React-based frontend teams, especially on desktop-style web applications
Familiar with component-based design systems, REST/GraphQL API integration, and optimizing media-heavy UI workflows
Able to guide frontend teams on data modeling, caching, and efficient rendering of large asset libraries
Experience with Electron for desktop apps
skills -MAM, App integration
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Mumbai
Keyskills: java jvm dynamo db amazon sqs lambda expressions schema continuous integration production ci/cd docker database design react.js ecs postgresql iam mam graphql apis gc rest python ott broadcasting eventbridge aws crop db
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Mavlers is a full-service digital marketing agency that has propelled growth for over 7,000 brands and agencies worldwide. As Google, Mailchimp, WP VIP, Microsoft, Salesforce, and HubSpot partners, we possess the expertise to deliver high-impact projects and campaigns tailored to our clients uniqu...
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