
We are seeking a motivated and detail-oriented Junior Backend Engineer to join our team. The role involves developing and maintaining backend systems using Django and Python, while also managing on-premises hardware and deployments. You will work closely with cross-functional teams to ensure our software is reliably configured, deployed, and maintained in an on-prem environment.
Key Responsibilities
Backend Development: Design, develop, and maintain backend services and APIs using Python (Django or Flask).
On-Prem Deployment: Install, configure, and manage software on on-premises hardware, including servers and networking equipment.
Database Management: Design database schemas, write efficient queries, and optimize data access layers (PostgreSQL, MySQL, etc.).
API Integration: Implement and maintain RESTful APIs and integrate with third-party services.
Troubleshooting & Debugging: Diagnose and resolve application and infrastructure issues to ensure high availability.
Version Control & CI/CD: Use Git for version control and contribute to continuous integration and delivery pipelines (GitHub Actions, Jenkins, etc.).
Security & Compliance: Work with the team to ensure software and infrastructure meet security and compliance requirements.
Documentation: Maintain clear, comprehensive documentation for your code, configurations, and on-prem deployment processes.

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About the role
Webnyay is looking for an experienced Backend Developer to build and scale reliable backend systems for our legal tech platform. You will work on core product architecture, high-performance APIs, and cloud-native services that support AI-driven workflows and large-scale data processing.
Responsibilities
- Develop backend services using Python, Django, and FastAPI
- Build scalable APIs and microservices for product features
- Implement event-driven and asynchronous workflows using Kafka
- Design and maintain backend integrations and data pipelines
- Deploy and manage services on Google Cloud Platform (GCP)
- Ensure performance, security, and reliability of backend systems
- Collaborate with product and engineering teams to deliver production-ready features
Requirements
- 4+ years of backend development experience
- Strong proficiency in Python
- Hands-on experience with Django and FastAPI
- Experience working with Kafka or similar messaging systems
- Working knowledge of GCP and cloud-based deployments
- Solid understanding of backend architecture and API design
- Experience with databases and production systems
- Experience building SaaS or platform-based products
- Exposure to AI-driven or data-intensive applications
Why Webnyay
- Build technology that improves access to justice
- Work on real-world, high-impact legal tech problems
- Collaborative and ownership-driven work culture
- Opportunity to grow with a fast-scaling startup
Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 2
Start: Immediate
Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 2M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have 2-5 years of backend engineering experience
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?
Responsibilities
- Participate in the entire application lifecycle, focusing on coding and debugging
- Write clean code to develop functional web applications
- Troubleshoot and debug applications
- Perform UI tests to optimize performance
- Work individually and closely with other members of the team during code sprints to deliver a complete end-to-end solution.
- Articulate project status to other team members and management.
- Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products.
- Work with the product and design teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution.
Qualifications
- Sharp analytical abilities, proven design skills, excellent communication skills experience handling the independent execution with minimal guidance, prior hands on experience or understanding on working with Django and python.
-
1 years experience with Django.
- Must be from Tier 1 University.
At LambdaTest, We help developers and testers fix their applications across a combination of 2000+ browsers and Operating Systems by providing a complete cross-browser ecosystem on the cloud. As Backend Developer You will work with other Developers throughout the Software Development Life Cycle.
You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll out product that deliver the company’s vision and strategy.
What’s the Opportunity?
- As a hands-on engineering professional, you'll stay on top of the details and will be more focused on building a better, more efficient program and creating the best user experience and
- Support and collaborate with our service engineers in getting to the bottom of issues and come up with robust solutions.
- Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
- Participate in a culture of code reviews, writing tech specs, and collaborating closely with other people.
- Design distributed systems using micro services architecture would be plus.
- Implementing high performance and non-blocking systems to serve traffic heavy SaaS based product.
Requirements and qualifications-
- Bachelor's degree in Computer Science or equivalent combination of technical education with 2-4 Years of work experience.
- Experience with one or more general purpose programming languages, including but not limited to:Python, Golang, NodeJs
- A solid understanding of software construction
- The ability to naturally follow good development practices like test automation, CI/CD, source version control, etc.
Required skills:-
2+ years of experience in the Development of JAVA technology.
Strong Java Basics
SpringBoot or Spring MVC
Hands-on experience on Relational Databases (SQL query or Hibernate) + Mongo (JSON parsing)
Proficient in REST API development
Messaging Queue (RabitMQ or Kafka)
Microservices
Any Caching Mechanism
Good at problem-solving
Good to Have Skills:
2+ years of experience in using Java/J2EE tech stacks
Good understanding of data structures and algorithms.
Excellent analytical and problem solving skills.
Ability to work in a fast-paced internet start-up environment.
Experience in technical mentorship/coaching is highly desirable.
Understanding of AI/ML algorithms is a plus.

At Upswing, we are a passionate and self-driven team of thinkers who aspire to build the rails to connect the legacy financial sector with financial innovators through a simple and powerful banking-as-a-service (BaaS) platform. We’re building our platform putting the focus on pragmatism, reliability, and maintainability. We believe that keeping the engineering complexity under control is key to preserving the development productivity and long-term evolution of a platform.
To bring this vision to life, we are building the infrastructure using Microservices architecture using the latest set of technologies that are also fun to work with such as Java, Scala, Postgres, Akka, Kafka with a completely automated DevOps pipeline from the get-go using tools like Chef, Jenkins, Grafana, Graylog.
We are looking for motivated engineers who will be working in a highly creative and cutting-edge technology environment to build a world-class financial services suite.
Why you should join us:
- You will redefine the financial services landscape for India in the coming years.
- Be part of a core Engineering team that will create innovative and scalable Fintech solutions.
- Work with passionate and experienced engineering, product & business workforce that believes in teamwork, and that helps fast-track learning on solving complex technical challenges.
- We are funded by the leading fintech VC `QED Investors` and other established Founders and Executives of awesome Indian companies.
What you will do if you join us:
- Propose solutions to solve complex system architecture challenges and actively lead the end-to-end development of the system.
- Create robust, flexible, consistent, and easy-to-use APIs
- Continuously strive for performance improvements, code reusability, and readability
- Understand the product in detail and predict potential issues in feature development.
- Mentor and lead junior members of the team
You should have:
- Ability to think of out of the box
- Tech or a higher degree in computer science or a related field.
- 3+ years of experience working on the back-end development for complex distributed systems who are willing to adopt any Programming language as per the requirement.
- Familiarity with any of the following – Java, C++, Scala, Kotlin, and frameworks like Spring, Play, Hibernate, Django, etc.
- Good understanding of Algorithms, Data Structure, OOP, Design patterns, Parallel programming, Multithreading concepts & Event-Driven Systems.
- Understanding of micro-services architecture and best practices.
- Experience with Relational databases such as MySQL, PostgreSQL, Oracle, or any NoSQL database.
It is a plus if you have:
- Familiarity with cloud platforms like AWS (Amazon Web Services), Azure or Google Cloud
Job Type: Full-time
CTC Offering : 3.6L PA to 6L PA
Job Location: Remote for 6-9 months due to the pandemic, then Mumbai, Maharashtra
Required experience:
-
Minimum 1.5 to 2 year of experience in Web & Backend Development using Python with experience in some form of Machine Learning ML Algorithms
Overview
We are looking for Python developers with a strong understanding of object orientation and experience in web and backend development. Experience with Analytical algorithms and mathematical calculations using libraries such as Numpy and Pandas are a must. Experience in some form of Machine Learning. We require candidates who have working experience using Django Framework
Key Skills required (Items in Bold are mandatory keywords) :
1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Experience with some form of Machine Learning (ML)
4. Experience in using libraries such as Numpy and Pandas
5. Some form of experience with NLP and Deep Learning using any of Pytorch, Tensorflow, Keras, Scikit-learn or similar
6. Hands on experience with RDBMS such as Postgres or MySQL
7. Experience building REST APIs using DRF or Flask
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku
KRAs includes:
1. Understanding the scope of work
2. Understanding and adopting the current internal development workflow and processes
3. Understanding client requirements as communicated by the project manager
4. Arriving on timelines for projects, either independently or as a part of a team
5. Executing projects either independently or as a part of a team
6. Developing products and projects using Python
7. Writing code to collect and mathematically analyse large volumes of data.
8. Creating backend modules in Python by building or reutilizing existing modules in a manner so as to
provide optimal deliveries on time
9. Writing Scalable, maintainable code
10. Building secured REST APIs
11. Setting up batch task processing environments using Celery
12. Unit testing prepared modules
13. Bug fixing issues as reported by the QA team
14. Optimization and performance tuning of code
Bonus but not mandatory
1. Nodejs
2. Redis
3. PHP
4. CI/CD
5. AWS











