Python Developer

Required Core Tech Stack:

We're looking for engineers with hands-on experience across most of the following technologies:

• Python Backend Development (3+ years)
• FastAPI (2+ years of production experience required)
• PostgreSQL
• MongoDB
• Redis
• Docker
• Celery or equivalent async task queues
• REST APIs & Microservices
• AWS/GCP
• GitLab CI/CD

The selected Sr. Backend engineer will ship the backbone that powers 4 million + learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

What You'll Do:

At LearnTube, we’re pushing the boundaries to revolutionize how the world learns. As a Senior Backend Engineer, your roles and responsibilities will include:

• Shipping Micro-services – Build FastAPI services that handle ≈ 800 req/s today and will triple within a year (sub-200 ms p95).
• Power Real-Time Learning – Drive the quiz-scoring & AI-tutor engines that crunch millions of events daily.
• Design for Scale & Safety – Model data (Postgres, Mongo, Redis, SQS) and craft modular, secure back-end components from scratch.
• Deploy Globally – Roll out Dockerised services behind NGINX on AWS (EC2, S3, SQS) and GCP (GKE) via Kubernetes.
• Automate Releases – GitLab CI/CD + blue-green / canary = multiple safe prod deploys each week.
• Own Reliability – Instrument with Prometheus / Grafana, chase 99.9 % uptime, trim infra spend.
• Expose Gen-AI at Scale – Publish LLM inference & vector-search endpoints in partnership with the AI team.
• Ship Fast, Learn Fast – Work with founders, PMs, and designers in weekly ship rooms; take a feature from Figma to prod in < 2 weeks.

What makes you a great fit?

Must-Haves (Applicants without these skills are unlikely to move forward):

• 3+ yrs Python back-end experience (FastAPI)
• Strong with Docker & container orchestration
• Hands-on with GitLab CI/CD, AWS (EC2, S3, SQS) or GCP (GKE / Compute) in production
• SQL/NoSQL (Postgres, MongoDB) + You’ve built systems from scratch & have solid system-design fundamentals

Nice-to-Haves

• k8s at scale, Terraform,
• Experience with AI/ML inference services (LLMs, vector DBs)
• Observability: Prometheus, Grafana, OpenTelemetry

Why LearnTube?

• Build AI products at global scale – Your work will power learning experiences for 4M+ learners across 64 countries.
• Work directly with experienced founders – Collaborate closely with founders who are deeply involved in product and engineering decisions, giving you ownership and a direct impact on the product roadmap.
• Learn fast – Join a high-performing team where you'll own features end-to-end and solve challenging backend and distributed systems problems.
• Recognized AI startup – LearnTube is a Google Top 20 AI Startup and part of Google's AI First Startup Accelerator, with access to cutting-edge AI technology and mentorship.

Why Work With Us? 

At LearnTube, we believe in creating a work environment that’s as transformative as the products we build. Here’s why this role is an incredible opportunity:

• Cutting-Edge Technology: You’ll work on state-of-the-art generative AI applications, leveraging the latest advancements in LLMs, multimodal AI, and real-time systems.
• Autonomy and Ownership: Experience unparalleled flexibility and independence in a role where you’ll own high-impact projects from ideation to deployment.
• Rapid Growth: Accelerate your career by working on impactful projects that pack three years of learning and growth into one.
• Founder and Advisor Access: Collaborate directly with founders and industry experts, including the CTO of Inflection AI, to build transformative solutions.
• Team Culture: Join a close-knit team of high-performing engineers and innovators, where every voice matters, and Monday morning meetings are something to look forward to.
• Mission-Driven Impact: Be part of a company that’s redefining education for millions of learners and making AI accessible to everyone.

Responsibilities:

● Design, develop, and maintain scalable backend services and APIs using Java and Spring

Boot.

● Create and optimize SQL database schemas and queries in PostgreSQL to ensure efficient

data storage and retrieval.

● Implement RESTful APIs to facilitate seamless communication between frontend and backend

components.

● Configure and manage Nginx web servers to efficiently handle incoming requests and improve

application performance.

● Deploy and manage applications on AWS or GCP, ensuring scalability, reliability, and

security.

● Configure and optimize message broker systems using Kafka for real-time data processing

and communication.

● Containerize applications using Docker for easy deployment, scaling, and management.

● Create detailed Low-Level Designs (LLDs) and High-Level Designs (HLDs) to guide the

development and architecture of backend systems.

● Automating CI/CD pipelines and streamlining the software development lifecycle.

● Integrate AI/ML models into backend workflows using Python, PyTorch/TensorFlow, or

third-party AI APIs.

● Leverage AI tools (e.g., OpenAI APIs, Hugging Face, AWS AI services) to build intelligent

features.

● Collaborate closely with frontend developers, product managers, data scientists, and other

stakeholders to deliver high-quality AI-powered solutions.

● Monitor and troubleshoot production systems to ensure optimal performance, reliability, and

uptime.

What We’re Looking For:

● Bachelor’s degree in Computer Science, Engineering, or related field.

● 3-5 years of experience in backend development.

● Proficiency in Java, Spring Boot, PostgreSQL, SQL, and GitActions.

● Strong understanding of RESTful API design principles and best practices.

● Experience with configuring and optimizing Nginx web servers.

● Experience with configuring and optimizing Kafka service.

● Hands-on experience with AWS or GCP.

● Familiarity with Docker containers and container orchestration.

● Ability to create comprehensive Low-Level Designs (LLDs) and High-Level Designs (HLDs)

for backend systems.

● Experience with Python for AI/ML model integration in backend services.

● Familiarity with AI platforms and APIs such as OpenAI, Hugging Face, AWS AI/ML, or GCP

Vertex AI.

● Excellent problem-solving skills and attention to detail.

● Strong communication and collaboration skills, with the ability to work effectively in a team

environment.

Preferred Qualifications:

● Knowledge of microservices architecture and related technologies.

● Experience with cloud-native development and serverless computing.

● Understanding of software development best practices, including Agile methodologies

Requirements

• Senior SD4 engineer/Principal Engineer/ Architect who has led or been part of platform teams inside a large/mid tech company
• Deep expertise working with any of the programming languages to write maintainable, scalable, unit-tested code.Python experience is a bonus - but not required
• Good understanding of REST APIs and the web in general and ability to build a feature from scratch & drive it to completion
• Experience with Kubernetes, Prometheus, Grafana, ELK stack, Load Balancing
• Experience in building a platform team on AWS for Product based companies/start-ups

What You’ll Do

• Build the core technology platform, including Automated provisioning of infrastructure, deployment, and monitoring of services
• Build a central services directory within an organization that shows the cost and health of all services and makes the management of microservices extremely easy
• This involves working with core infrastructure and understanding them in great detail - like Kubernetes, ServiceMesh, Service security
• Mentor/coach engineers to facilitate their development and provide technical leadership

Function: Software Engineering → Backend Development

• Python
• Flask

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance
• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

We are seeking a skilled Node.js + Python Developer to join our team. The successful candidate will be responsible for developing and maintaining web applications using Node.js and Python. The ideal candidate will have a strong understanding of both Node.js and Python, as well as web application development. Responsibilities:

Developing and maintaining web applications using Node.js and Python

Write clean and efficient code that adheres to Node.js and Python coding standards

Collaborate with other developers and team members to design and implement new features

Troubleshoot and debug issues in existing code

Create and maintain technical documentation

Requirements:

Strong knowledge of Node.js and Python

Familiarity with front-end technologies such as HTML, CSS, and JavaScript

Experience with MySQL/Mongo and database design

Good understanding of object-oriented programming and design patterns

Strong problem-solving skills and attention to detail

Good communication skills and ability to work in a team environment

Preferred Qualifications:

Experience with popular Node.js frameworks such as Express or Koa

Experience with OpenAi APIs

Knowledge of machine learning and data science libraries in Python such as TensorFlow, Scikit-learn, and Pandas

Experience with RESTful API development

Experience with payment gateway integrations

Introduction:

Tyroo’s Vidtech.ai is one of the largest independent marketing automation cloud built for the video first world. We build softwares and platforms that allow our partners to derive maximum yields on their marketing spends on various video first social platforms. We work on problems that involve building high availability, low latency solutions which require computing optimal decisions using various self-created modules as well as pre-available modules popular in the ML and Big Data world.

We are looking for a back-end developer who has at least 1 years professional experience in building systems on either Python or Node.js and is able to become an anchor/pillar for the team. The role will require you to architect and develop systems/features needed for our marketing automation products. Strong leadership and mentoring skills are also necessary so that the individual can train, educate and manage junior resources.

Key Requirements:

• Must be able to tackle complex business problems by breaking it down into set of simpler problems and architect solutions for the same
• Must exhibit thought leadership and should be committed towards mentoring and team building
• Must have excellent communication skills as the individual needs to collaborate with Business and Product team
• Must be proactive towards changing software development landscape and keep upskilling
• Must be able to contribute in setting up best practices and effective design patterns in complete development lifecycle.

Technical Requirements:

• Must have 1+ years’ experience in developing scalable systems on Python/Node.js with strong grasp on microservices and serverless architectural patterns
• Must have prior experience with databases like MySQL, Elasticsearch, MongoDB, Redis
• Must be exposed to cloud platforms like AWS or GCP and containerization using Dockers
• Must have worked with RESTful APIs and WebSockets
• Must have deep understanding of HTTP, web browsers and token-based authentication/authorization (OAuth, JWT)
• Must be experienced on Version Control Tools (Git) and Package Managers (npm, yarn, pip)
• Must adhere to coding standards and have the habit of doing unit testing along with regular and rigorous code reviews
• Should know about microservices orchestration using Kubernetes, web servers like Nginx/Apache and queuing systems like Kafka/Kinesis