- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Analysis, Automate and backtest the existing strategies
- Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.
- Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
Learnability, teamwork and flexibility are important traits we look for.

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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.
Strong Senior Backend Engineer profiles
Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems
Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).
Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework
Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization
Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices
Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)
Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D
Mandatory (Education) – Candidates from Tier - 1 engineering institutes (IITs, BITS, are highly preferred)
Job Title: Deployment Lead (Python, Linux, AWS)
Location: Coimbatore
Overview
We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments.
Key Responsibilities
- Lead and manage deployment activities for all application releases across development, staging, and production environments.
- Develop and maintain deployment automation, scripts, and tools using Python and shell scripting.
- Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline).
- Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening.
- Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform).
- Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK.
- Collaborate with developers to improve code readiness for deployment and production reliability.
- Manage environment configurations and ensure consistency and version control across environments.
- Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes.
- Establish and enforce best practices for deployment, configuration management, and operational excellence.
Required Skills & Qualifications
- 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles.
- Strong proficiency in Python for automation and tooling.
- Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux).
- Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform).
- Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes.
- Strong understanding of CI/CD tools and automated deployment strategies.
- Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing.
- Expertise with monitoring, alerting, and logging solutions.
- Strong problem-solving and analytical skills; able to lead troubleshooting efforts.
- Excellent communication and leadership abilities.
Exp: 7- 10 Years
CTC: up to 35 LPA
Skills:
- 6–10 years DevOps / SRE / Cloud Infrastructure experience
- Expert-level Kubernetes (networking, security, scaling, controllers)
- Terraform Infrastructure-as-Code mastery
- Hands-on Kafka production experience
- AWS cloud architecture and networking expertise
- Strong scripting in Python, Go, or Bash
- GitOps and CI/CD tooling experience
Key Responsibilities:
- Design highly available, secure cloud infrastructure supporting distributed microservices at scale
- Lead multi-cluster Kubernetes strategy optimized for GPU and multi-tenant workloads
- Implement Infrastructure-as-Code using Terraform across full infrastructure lifecycle
- Optimize Kafka-based data pipelines for throughput, fault tolerance, and low latency
- Deliver zero-downtime CI/CD pipelines using GitOps-driven deployment models
- Establish SRE practices with SLOs, p95 and p99 monitoring, and FinOps discipline
- Ensure production-ready disaster recovery and business continuity testing
If interested Kindly share your updated resume at 82008 31681

Our client has a B2C startup in the Fintech space building the payment system for the
subscription economy. We have raised pre-seed funding from some of the leading
investors in the country. A small brief about their product - To build the payment
system for the subscription economy and make it easier to discover and manage
subscription payments in India and abroad. To give subscription merchants the
power to increase their offering by providing user subscription data, multiple login
authentication, distribution and one click subscription checkouts. To enable users to
participate in the subscription economy & increase adoption of new subscriptions.
The core team come from strong backgrounds having been alumni of IIT Madras,
IIM Calcutta as well as having worked with some of the top startups in the
ecosystem including Swiggy, Mckinsey, Barclays, etc..
What we're looking for
We are looking for an experienced Python developer to join our engineering team
and help us develop our mobile application. In this role, you will be responsible for
writing and testing scalable code, developing back-end components, and integrating
user-facing elements in collaboration with front-end developers.
To be successful as a Python developer, you should possess in-depth knowledge of
object-relational mapping, experience with server-side logic, and above-average
knowledge of Python programming.
As one of the earliest members in engineering, you will have the flexibility to design
the application and systems from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Coordinating with development teams to determine application requirements.Python Backend Developer
2
Writing scalable code using Python programming language.
Developing back-end components.
Implement business logic in the backend
Integrating user-facing elements using server-side logic.
Create restful APIs for a seamless integration with our mobile front end
Testing and debugging applications.
Assessing and prioritizing client feature requests.
Integrating data storage solutions.
Coordinating with front-end developers.
Reprogramming existing databases to improve functionality.
Developing digital tools to monitor online traffic.
Qualifications
4+ years of experience in Python, Django, Mongo, Express, MySQL, etc
Have built applications capable of serving high volume with low latency in
production
Following practices of agile development with continuous integration/deployment
A deep understanding and multi-process architecture and the threading
limitations of Python.
Experience in deploying applications in AWS cloud
Ability to collaborate on projects and work independently when required.
Knowledge in building applications for Fintech/payments domain is a bonus
Bachelor's or Master's degree in CS or equivalent from a reputed institution
- Collaborating with the front-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance the user experience.
- Own code for the products with responsibilities including but not limited to designing, developing, testing, maintenance of products.
- Building RESTful services and do DevOps.
- Talking to customers and business teams to suggest improvement areas in product flows.
- Create peer learnings for team members and build context for new teammates
- Help with building the company's tech team and iterating on the hiring framework.
- Provide regular feedback to your team (peers and managers) to ensure continuous improvement.
- Keeping abreast with the latest technologies and working on your skills regularly.
Skills & Requirements
- Good knowledge and experience of working with backend systems; designing server-side architecture, including production maintenance experience are must-haves.
- At least 1-8 years of experience in any programming languages like Java, Ruby, PHP, Python, and Node.js(Node.js preferred).
- Understanding of micro-services-oriented architecture.
- Experience with Databases design (SQL, NoSQL) and analytics
- Experience in driving and delivering complex features/software modules from technical design to launch.
- Expertise with unit testing & Test Driven Development (TDD)
- Have empathy for the users you build for
Good to have
- Experience in the fintech industry
- Experience leading design and implementation of robust and secure web services
- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- B Tech/BE or M.Tech/ME in Computer Science or equivalent from a reputed college.
- Experience level of 7+ years in building large scale applications.
- Strong problem solving skills, data structures and algorithms.
- Experience with distributed systems handling large amount of data.
- Excellent coding skills in Java / Python / Node / Go.
- Very good understanding of Web Technologies.
- Very good understanding of any RDBMS and/or messaging.










