Data Governance Developer

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

10+ years of experience in Data Architecture, Data Engineering, or Data Platforms

• Strong expertise in IBM DB2 / On-Prem Relational Databases

• Strong expertise in PostgreSQL

• Hands-on experience with the Azure Data Ecosystem, including:

▪ Azure Data Factory (ADF)

▪ Azure Data Lake Storage Gen2 (ADLS Gen2)

▪ Azure Databricks / Synapse Analytics

▪ Azure Event Hub / Service Bus

▪ Azure Functions

Description:

-> Work on full-stack development projects, handling both front-end and back-end development tasks.

-> Gain practical experience in designing, developing and deploying scalable web and application solutions.

-> Collaborate with teams to build efficient, secure, and user-friendly applications using modern technologies.

-> Work with a wide range of technologies and domains, including:

  Java Application Programming

  Web Development

  Python Application Programming with Django

  Machine Learning

  Data Science

  Artificial Intelligence

  Cyber Security

  Data Analytics

-> Develop problem-solving, analytical, and technical skills by working on projects.

Duration: 1 - 6 months

Mode: Online/Offline

Eligibility: Any BCA/MCA pursuing Students can apply.

Perks:

-> Internship Certificate

-> Letter of Recommendation.

🚀 We’re Hiring – #SoftwareEngineer (#C# & .NET) 🚀

Are you an experienced #SoftwareEngineer looking for your next big opportunity?

🔹 Position: #SoftwareEngineer

🔹 Location: #Remote

🔹 Experience: #6-9 Years

Must-Have Skills:

✅ #C#

✅ #DotNET

✅ #AWS & #Azure

✅ #Microservices

✅ #SOA

✅ #UnitTesting

✨ Important Note:

We are only considering #ImmediateJoiners or those #ServingNoticePeriod.

Your #LastWorkingDay (#LWD) must be in #October., #November

JoVE is the world-leading producer and provider of science video solutions with the mission to improve scientific research and education. Millions of scientists, educators and students use JoVE for their research, teaching and learning. Our institutional clients comprise over 1,000 universities, colleges, and biopharma companies, including such leaders as Harvard, MIT, Yale, and Stanford. As a rapidly growing company, with offices in the USA, UK, Australia, and India servicing clients in over 60 countries, we are seeking talented and ambitious individuals to join our company.

Role

We are seeking an experienced Senior Fullstack Engineer to join our team, working closely with the global content platform and new initiatives team. Your primary focus will be on developing new products, creating prototypes, and exploring novel use cases with emerging technologies. In this role, you'll collaborate closely with product managers and the platform team to drive innovation, rapidly develop new applications, and push the boundaries of what's possible with cutting-edge tech. If you're passionate about pioneering solutions and want to shape our company's future through creative exploration of new possibilities, we want you on board.

Responsibilities

• Take a lead role in the full software development lifecycle for assigned applications, encompassing design, hands-on engineering, prototype development, and code reviews.
• Mentor and guide engineering peers while driving transformation within various technology domains.
• Serve as an engineering leader on an agile team, focusing on building scalable software solutions through consistent development practices, including tools, common components, and documentation.
• Lead and manage code reviews, ensuring high-quality codebase.
• Promote engineering excellence, particularly in the realm of automated unit testing.
• Collaborate closely with product owners to define product and engineering roadmaps.
• Tackle software debugging and identify code defects for remediation.
• Oversee the deployment, support, and monitoring of software in both development and production environments.
• Contribute to the automation of deployment processes in various environments.
• Work towards ensuring that all applications can scale and explore self-healing solutions.

Requirements

• 5+ years of experience with web application frameworks such as Symfony, Laravel, React, or similar. GraphQL experience is a plus.
• Experience with data-driven architecture and systems design, RESTful APIs, and microservices architecture.
• Proficiency utilizing SQL, NoSQL, in-memory, and distributed SQL (e.g., PostgreSQL, Redis, MongoDB, AuroraDB)
• Experience integrating with 3rd party APIs, external frameworks, and libraries
• Expert-level understanding and implementation of cloud-native architectures (AWS serverless or containers preferred) at scale in production
• Demonstrated understanding and implementation of software design principles such as SOLID and DRY with Software as a Service (SaaS), multi-tenancy application development
• Embraces the concepts of Agile Scrum software development and its related collaboration and issue-tracking tools (e.g., JIRA, Rally)
• Experience working in a Continuous Integration / Continuous Delivery (CICD) model, including GitHub and CI pipeline automation tools
• Ability to triage and resolve incidents and lead incident investigations.
• Must be able to ensure Agile/Scrum concepts and principles are adhered to and be a voice of reason.

Why Join JoVE?

• When working with JoVE, you can expect salary and benefit package competitively placed within the local market
• You will make a direct impact in accelerating science research and in improving student learning in science education
• Opportunity to work with global teams and in an environment that promotes innovation and collaboration
• Our strong promotion from within culture draws a clear path to advance your career with us

Job Description –

• Full stack developer position.
• Should have total of 5-7 years of experience.
• Should have min. of 2 years of experience in developing Enterprise apps on React.js and 2 years on Django apps.
• Very good in Data structure, logical reasoning, and algorithms.
• Experience with cloud providers like AWS or Azure or GCP is also required.
• Good Understanding of Design and Integration patterns.
• Ability to work independently and with lots of ownership.
• Ability to learn and apply newer technologies quickly.
• Good to have knowledge in building progressive web apps.

Role Description

• You will be full stack senior developer.
• Handle team of junior backend and frontend developer.
• You can and want to write code end-to-end.
• You would enjoy designing a system for speed and scale.
• Developing product using Reactjs for front end and Python for back end.
• We want you to debate on the pros and cons of different architectures and tech stack choices and be real contributing members.
• We want people who can and want to learn new stuff in real-time while on the job.

Skills - JavaScript, React.js, HTML, CSS, SQL with MySQL / PostgreSQL, Python, Django, AWS or Azure or GCP