Principal Engineer/Architect

Role Overview:

As a Backend Developer at LearnTube.ai, you will ship the backbone that powers 2.3 million learners in 64 countries—owning APIs that crunch 1 billion learning events & the AI that supports it with <200 ms latency.

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What You'll Do:

At LearnTube, we’re pushing the boundaries of Generative AI to revolutionise how the world learns. As a Backend Engineer, you will be building the backend for an AI system and working directly on AI. Your roles and responsibilities will include:

• Ship 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:

• 2+ 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)
• Go / Rust for high-perf services
• Observability: Prometheus, Grafana, OpenTelemetry

About Us: 

At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

• AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
• Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

Meet the Founders: 

LearnTube was founded by Shronit Ladhani and Gargi Ruparelia, who bring deep expertise in product development and ed-tech innovation. Shronit, a TEDx speaker, is an advocate for disrupting traditional learning, while Gargi’s focus on scalable AI solutions drives our mission to build an AI-first company that empowers learners to achieve career outcomes. We’re proud to be recognised by Google as a Top 20 AI Startup and are part of their 2024 Startups Accelerator: AI First Program, giving us access to cutting-edge technology, credits, and mentorship from industry leaders.

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.

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Java back end developer

Chennai  

3+yrs

3 to 5 years Java,

Sprint Boot, Hibernate,

REST API Design Patterns SQL,

Oracle,

Table design

JioTesseract, a digital arm of Reliance Industries, is India's leading and largest AR/VR organization with the mission to democratize mixed reality for India and the world. We make products at the cross of hardware, software, content and services with focus on making India the leader in spatial computing. We specialize in creating solutions in AR, VR and AI, with some of our notable products such as JioGlass, JioDive, 360 Streaming, Metaverse, AR/VR headsets for consumers and enterprise space.

About the Job

As a Cloud Backend Engineer you will design, develop, and maintain scalable and reliable backend systems in cloud environments. You will be responsible for building cloud-native applications, optimizing backend performance, and ensuring seamless integration with frontend services and third-party systems.

What You’ll Be Doing

• Backend Development
• Design and implement scalable and high-performance backend services and APIs for cloud-based applications.
• Develop microservices architectures and serverless functions to support business needs.
• Ensure backend systems are secure, reliable, and performant, adhering to best practices and industry standards.
• Cloud Infrastructure and Deployment
• Build and manage cloud infrastructure using platforms such as AWS, Google Cloud Platform (GCP), or Azure.
• Deploy and maintain backend services using cloud-native technologies (e.g., Kubernetes, Docker, AWS Lambda, Google Cloud Functions).
• Implement and manage CI/CD pipelines to automate deployment processes and ensure smooth delivery of updates.
• Performance Optimization
• Monitor and optimize the performance of backend services, including database queries, API responses, and system throughput.
• Implement caching strategies, load balancing, and other performance-enhancing techniques to ensure scalability and responsiveness.
• Troubleshoot and resolve performance issues and system bottlenecks.
• Database Management
• Design and manage relational and NoSQL databases, ensuring data integrity, scalability, and performance.
• Implement data access patterns and optimize queries for efficient data retrieval and storage.
• Ensure backup, recovery, and data security practices are in place.
• Integration and Collaboration
• Collaborate with frontend developers, DevOps engineers, and other stakeholders to integrate backend services with frontend applications and third-party systems.
• Participate in architectural discussions and provide input on system design and technology choices.
• Ensure clear communication and documentation of backend services, APIs, and system interactions.
• Security and Compliance
• Implement security best practices to protect backend services from threats and vulnerabilities.
• Ensure compliance with relevant regulations and standards, including data privacy and protection requirements.
• Conduct regular security assessments and vulnerability scans to maintain system integrity.
• Testing and Quality Assurance
• Develop and maintain automated tests for backend services, including unit tests, integration tests, and end-to-end tests.
• Perform code reviews and participate in quality assurance processes to ensure high code quality and reliability.
• Monitor and address issues identified during testing and production deployments.
• Documentation and Knowledge Sharing
• Document backend services, APIs, and infrastructure setups to facilitate knowledge sharing and support.
• Create and maintain technical documentation, including architecture diagrams, API specifications, and deployment guides.
• Share knowledge and best practices with team members and contribute to a collaborative development environment.

What We Need To See

• Strong experience in backend development, cloud technologies, and distributed systems, with a focus on building robust, high-performance solutions.
• Minimum 5 years of experience in backend development, with a strong focus on cloud-based applications.
• Proven experience with cloud platforms (AWS, GCP, Azure) and cloud-native technologies.
• Experience in designing and implementing RESTful APIs, microservices, and serverless architectures.
• Technical Expertise in:

1. Backend Development

• Strong experience with backend programming languages such as Node.js, Python
• Expertise in working with frameworks such as NestJS, Express.js, or Django.

2. Microservices Architecture

• Experience designing and implementing microservices architectures.
• Knowledge of service discovery, API gateways, and distributed tracing.

3. API Development

• Proficiency in designing, building, and maintaining RESTful and GraphQL APIs.
• Experience with API security, rate limiting, and authentication mechanisms (e.g., JWT, OAuth).

4. Database Management

• Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB).
• Experience in database schema design, optimization, and management. 

5. Cloud Services

• Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.

6. Performance Optimization

• Experience with performance tuning and optimization of backend services.

7. Security

• Understanding of security best practices and experience implementing secure coding practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Ability to manage multiple priorities and work in a fast-paced, dynamic environment.

Job Responsibilities

✓ Perform the role of Technical Lead on assigned projects to drive solution design (especially backend) and API services development.

✓ Be the thought leader and champion for above mentioned technologies.

✓ Drive technical analysis for new projects including planning and driving proof-of-concepts, if needed.

✓ Drive tasks related to backend development by providing architectural and technical leadership to mid-tier and database developers.

✓ Conduct peer reviews as the lead into Git to confirmed that developed code meets acceptable standards and guidelines.

✓ Work closely with the rest of the leads, mid-tier development, front-end developers, database developers, etc. to ensure end-to-end integrity of the solution being developed.

✓ Work closely with the rest of the tech leads and senior engineering leadership team to ensure reuse where applicable to increase productivity and throughput.

✓ Conduct technical interview to staff open positions in the backend team.

✓ Delegate work and assignments to team members

✓ Collaborate with their team to identify and fix technical problems

✓ Analyze users' needs and then finding applications to serve them

✓ Drive assigned tasks related to SOC 2 certification and ensure compliance to defined controls for areas under lead’s purview.

✓ Guiding their team through technical issues and challenges

✓ Prepare Technical design documents which would help the team to understand the technical flow

✓ Active participation in customer calls especially discussions related to Technical/Architectural and provide inputs.

Required Experience: 

✓ Backend Lead around 14 years of experience

✓ Server less Computing Architecture

✓ NodeJS, MySQL, Jenkins, Python, GitLab Technologies

✓ Good knowledge of AWS Cloud

✓ Full cycle AWS implementation experience

✓ Project experience in development and maintenance support for AWS web service and Cloudbased implementations

✓ Experience leading teams of up to 10 + professionals

Ability to manage multiple tasks and projects in a fast-moving environment 

Educational Qualifications: 

Engineering graduate or B. Tech/MCA with relevant major subjects like Computer Science

The database market is massive (the IDC estimates it to be $119B+ by 2025!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth!

MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!

MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernising legacy applications or migrating to the cloud. Our consulting solutions ensure that organisations get the best out of MongoDB.

Be one of the recognised experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. You will have abundant opportunities to meaningfully impact the growth of our business in your region.

We’re looking for a highly technical individual, with strong problem-solving and communication skills, and is comfortable working closely with customers. 

Work Location

This role will be based remotely in Hyderabad / Bangalore and requires a frequent travel for short trips to customer site during the working week once the restriction are lifted. 

• Excellent analytical, diagnostic skills, and problem-solving skills
• High motivation for a role that combines deep technical and customer-management dimensions
• Confidence speaking and presenting in a collaborative customer setting
• 5+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals
• Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go.
• Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL
• Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus
• Should have the strong capability with, minimally, both English and any local language - as necessary

As a core member of the MongoDB Professional Services team, you will

• Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning, and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimisation, and best practices adoption
• Deliver customer classroom-based training to architect, developer, and operations roles
• Work as part of a wider delivery team comprising fellow consulting engineers, project managers, and account teams
• Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future
• Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap

As a Senior Consulting Engineer, you will be successful in this role when you can execute the following

• Become a field expert in “everything MongoDB”
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Gain reputation as a trusted advisor with your clients, large and small
• Ensure your client’s success with their MongoDB endeavours
• Maintain required level of billable utilisation
• Influence MongoDB product development by contributing experience from the field
• Successfully communicate the product roadmap to external clients
• Constantly work on improving yourself, our products and our team

Life at MongoDB

 Our India office culture

• 300+ people, with teams in Sales, Engineering, HR, Finance, IT & Marketing
• Regular group outings and opportunities to get to know your colleagues
• Employee affinity groups

 Our Benefits

• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance.
• 26 weeks Maternity & 20 Paternity leave to spend time with new arrivals

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.