Senior Backend Engineer

About the role

You'll take technical ownership of our Backend, Data & ML team and lead the backend development team. You'll design and scale our backend services, APIs and data systems, and bring data science and ML models into production. You'll also be the main technical link to the React Native and Next.js teams.

What you'll do

• Own backend architecture, API design, databases and data infrastructure.
• Design and build data pipelines and data models for analytics and ML.
• Lead the implementation, deployment and monitoring of ML models and data science algorithms in production.
• Work closely with the React Native and Next.js teams on API contracts, data flows and ML/DS integrations.
• Mentor the backend and data team, review code, and set engineering standards along with the TPM.
• Ensure system reliability, security, scalability and observability.
• Take part in the senior on-call rotation, including international paging.

What we're looking for

• 6+ years of backend development, with significant experience in data engineering.
• Strong expertise in Django, relational databases, and API design (REST/GraphQL).
• Hands-on experience building data pipelines.
• Some practical experience deploying ML models to production, including serving, versioning, monitoring and retraining (MLOps).
• Some understanding of common data science algorithms and ML techniques.
• Experience with cloud infrastructure (AWS, GCP or Azure), containers and CI/CD.
• Experience leading or mentoring engineers.
• Excellent communication skills. You should be able to explain backend and data decisions clearly to mobile and web teams.

Note: Full-stack experience is valuable but not mandatory. A strong backend and data specialist who works well with the frontend and mobile teams is a great fit.

Nice to have

• Python ML ecosystem experience (for example scikit-learn, PyTorch, TensorFlow or pandas).
• Experience with LLMs, recommendation systems or real-time data processing.
• Experience with unstructured data
• Familiarity with Next.js or React Native.
• Familiarity with US data protection requirements and compliance laws, such as FERPA or COPPA

About the role

You'll work alongside a Senior Backend, Data & ML Developer and our existing backend team to build backend systems, process data, and integrate ML and data science models into our platform.

What you'll do

• Build and maintain backend services and APIs.
• Develop data processing workflows and pipelines.
• Implement, integrate and maintain ML models and data science algorithms in production.
• Optimise database queries, data models and system performance.
• Work with the frontend and mobile teams on API integrations.
• Write tests and documentation, and take part in code reviews.

What we're looking for

• 3–5 years of backend development experience.
• Strong skills in Django and working knowledge of SQL databases.
• Practical experience with ML models and data science algorithms, from training or integration through to deployment.
• Experience handling and transforming data at scale.
• Experience  with cloud platforms, Git and CI/CD.
• Clear communication with backend, web and mobile teammates.
• Experience working with AI tools for development such as Claude and Cursor

Note: Full-stack experience isn't required. Strong backend and data skills plus good cross-team communication matter most.

Nice to have

• Python data and ML tools (for example pandas, scikit-learn or PyTorch).
• Experience with model serving or MLOps tools.

Senior Software Engineer – Backend

Company: House of EdTech (Goenka Kachave LLP)

Location: Bangalore, Hybrid

Job Type: Full-Time

Experience: 5+ Years

About the Role

House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.

You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.

What You'll Do

• Design and develop scalable backend services and REST APIs.
• Build reliable systems capable of handling high traffic and large data volumes.
• Own backend features from design and development through deployment and monitoring.
• Work with microservices, databases, and distributed systems.
• Identify and solve performance, scalability, reliability, and security challenges.
• Participate in system design and architecture discussions.
• Conduct code reviews and contribute to engineering best practices.
• Mentor junior and mid-level engineers.
• Monitor production systems and troubleshoot incidents.

What We're Looking For

• 5+ years of professional backend development experience.
• Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
• Experience building and operating large-scale distributed systems.
• Strong understanding of REST APIs, microservices, and databases.
• Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
• Strong software engineering fundamentals, including security, reliability, testing, and code quality.
• Experience with system design, architecture, and technical decision-making.
• Strong communication and cross-functional collaboration skills.
• Experience mentoring engineers is a plus.

Why Join House of EdTech?

• Work on products impacting millions of learners.
• Solve challenging backend and scalability problems.
• Take significant ownership of architecture and engineering decisions.
• Opportunity to grow into technical leadership and architectural ownership.
• Work in a fast-growing technology environment.

About VerbaFlo.ai

VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.

Role Overview

We are looking for a Senior Backend Engineer to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.

Responsibilities

• Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
• Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
• Ensure the reliability, security, and performance of backend systems.
• Write clean, maintainable, and efficient code using modern backend practices.
• Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
• Own the end-to-end lifecycle of backend features, from architecture to deployment.
• Monitor production systems and resolve performance and scalability issues.
• Contribute to architectural decisions and help evolve our engineering best practices.

Requirements

• 4–6 years of experience in backend development in startups, preferably in SaaS or AI-driven products.
• Proficiency in Node.js, Python, or Go
• Deep understanding of RESTful API design.
• Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
• Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
• Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
• Experience with Git, CI/CD tools, and writing unit/integration tests.
• Strong problem-solving skills and a mindset geared toward performance and security.
• Excellent communication and collaboration abilities.

Why Join Us?

• Work directly with top leadership in a high-impact role.
• Be part of an innovative and fast-growing AI startup.
• Opportunity to take ownership of key projects and drive efficiency.
• A collaborative, ambitious, and fast-paced work environment.
• Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.

If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!

Primary Skills:

Python / Golang, RESTful APIs, Docker, Kubernetes, Linux

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

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: 

1. Scale from 500K → 20M+ interactions/month 
2. Handle complex insurance workflows reliably 
3. Become easier to deploy as it grows, not harder 
4.  
5. 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 

1. Scale from 50K → 4M+ interactions/month 
2. Ensure: 
3. High availability 
4. Low latency 
5. Fault tolerance 
6. Avoid large rewrites — build systems that evolve cleanly 

2. Build the workflow automation (WA) engine 

1. Design a flexible system with: 
2. States 
3. Stages 
4. Cohorts 
5. Dynamic workflows 
6. Ensure workflows: 
7. Handle edge cases reliably 
8. Can be configured easily 
9. Move from: 
10. Hardcoded flows → configurable execution engine 

3. Build the insurance-specific data layer 

1. Design data models for: 
2. Policy states 
3. Claim workflows 
4. Consent tracking 
5. Ensure the system works across: 
6. Multiple insurers 
7. Multiple use cases 
8. Build a platform-first data layer, not use-case-specific hacks 

4. Make deployment and setup simple 

1. Ensure workflows and data models are: 
2. Easy to configure 
3. Easy to launch 
4. Reduce friction for: 
5. Product teams 
6. Deployment teams 

5. Create a compounding data advantage 

1. Build a data layer that: 
2. Improves with every deployment 
3. Captures structured signals 
4. Ensure data becomes a long-term edge, not just storage 

6. Own production reliability 

1. Participate in on-call rotation across 3 engineers 
2. Ensure: 
3. Incidents are handled quickly 
4. Root causes are fixed permanently 
5. Build systems where reliability is shared, not individual 

What success looks like 

1. Platform scales to 2M+ interactions/month smoothly 
2. Workflow engine supports complex, dynamic use cases 
3. Data layer enables fast deployment across accounts 
4. Edge cases are handled without constant firefighting 
5. System becomes easier to use as it grows 
6. Production issues are rare and predictable 

Who you are 

1. You have built: 
2. Scalable systems 
3. Distributed services 
4. You think in: 
5. Systems 
6. Data models 
7. Trade-offs 
8. You are comfortable owning: 
9. Architecture 
10. Production systems 

What will make you stand out 

1. Experience building: 
2. Workflow engines 
3. State machines 
4. Data-heavy platforms 
5. Strong understanding of: 
6. System design 
7. Distributed systems 
8. Failure handling 
9. Experience working in: 
10. High-scale production environments 

Why join 

1. You will build the core backend of an AI platform 
2. Your work directly impacts: 
3. Scale 
4. Reliability 
5. Product capability 
6. You will design systems that move from: 
7. Use-case specific → platform-level infrastructure 

What this role is not 

1. Not just API development 
2. Not limited to feature-level work 
3. Not disconnected from production realities 

What this role is 

1. A system architect 
2. A builder of scalable platforms 
3. 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

● Architect and build end-to-end backend services and APIs.

● Integrate with external systems such as insurers, payment gateways, and other

partners.

● Ensure high observability, performance, and reliability across systems.

● Write clean, reusable, and maintainable code with a focus on scalability.

● Implement comprehensive test coverage and maintain code quality.

● Manage database design, migrations, scripting, and administration.

Experience & Skills

● 2-8 years of experience in backend development.

● Hands-on experience with low-level & high-level system design.

● Proven experience building scalable, secure backend systems (APIs, middleware, caching).

● Proficiency in Python, Django, Django REST Framework (DRF), PostgreSQL, Redis,

Celery, and basic HTML/CSS.

● Experience developing RESTful APIs.

● Familiarity with AWS or other major cloud platforms is a plus.

● Strong sense of ownership, problem-solving ability, and leadership qualities.

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.

About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.

This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:

Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%

What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers

Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team

Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)

Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality

What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders

Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products

Why Join Us?

• Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
• Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
• Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
• Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
• Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
• Make a measurable impact: Build systems that improve operational efficiency and support business growth.

Position Details

| **Experience** | 5–8 Years |

| **Work Location** | Mumbai Suburbs-Andheri |

| **Start Date** | Immediate |

| **CTC** | Open to Discussion |

## Job Description

The selected candidate will be responsible for leading backend development, managing cloud infrastructure and deployments, designing scalable system architectures, and mentoring the engineering team. The role requires strong technical expertise, leadership capabilities, and the ability to translate business requirements into effective technical solutions.

### 1. DevOps and Cloud Infrastructure

- Create and configure cloud instances on Azure, AWS, or GCP.

- Deploy applications and programs to cloud servers and DevOps environments.

- Ensure deployment stability, system uptime, and performance monitoring.

- Automate deployment pipelines and continuously improve CI/CD practices.

- Implement and maintain reliable, scalable, and secure deployment processes.

### 2. Architecture and Backend Development

- Design system architectures with a focus on performance, security, scalability, and reliability.

- Design, develop, and maintain clean, scalable, and optimized backend applications, preferably using Node.js.

- Troubleshoot and resolve complex technical issues across development, testing, and production environments.

- Translate business requirements into effective technical solutions and ensure timely delivery.

- Develop and maintain APIs, microservices, databases, and system integrations.

### 3. Team Leadership and Management

- Lead, mentor, and guide a team of backend developers and engineers.

- Drive Agile development processes, including sprint planning, daily stand-ups, and retrospectives.

- Conduct code reviews and ensure adherence to coding standards and engineering best practices.

- Promote collaboration, accountability, and a high-performance engineering culture.

- Support team members in resolving technical challenges and improving their skills.

## 4.Skills and Qualifications Required

- B.Tech / B.E. in Computer Science, Information Technology, or a related field.

- Strong proficiency in backend development using Node.js, JavaScript, Python, or Java.

- Hands-on experience with DevOps practices and cloud deployment environments.

- Solid understanding of APIs, microservices, databases, and system integration.

- Experience in leading development teams within an Agile/Scrum environment.

- Working knowledge of Linux, Kafka, and Docker.

- Good understanding of CI/CD pipelines, cloud technologies, and deployment automation.

- Strong problem-solving, analytical, communication, and leadership skills.

##5. Behavioural Competencies

- **Team Leadership:** Ability to manage, train, mentor, and guide team members.

- **Relationship Management:** Strong interpersonal skills and the ability to build effective working relationships.

- **Analytical Thinking and Innovation:** Strong analytical capabilities, with a focus on innovative problem-solving.

- **Business Acumen:** Ability to understand business use cases and translate them into practical technical solutions.

- **Customer Empathy:** Ability to understand customer needs and deliver solutions that enhance customer experience.

- **Communication:** Excellent verbal and written communication skills.

Salary will be decided based on your skills and experience.

Location: Bangalore

Department: Engineering

Reports to: SVP

Experience required: 6+ years

About Tracxn:

Tracxn (Tracxn.com) is a Bangalore-based product company providing a research and deal sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals working around the startup ecosystem.

We are a team of 600+ working professionals serving customers across the globe. Our clients include Funds like Andreessen Horowitz, Matrix Partners, GGV Capital, and Large Corporations such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team: 

Tracxn's Technology team is 60+ members strong and growing. The technology team is subdivided into multiple smaller teams, each owning one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure where almost everyone is actively involved in technical development and design activities. We have a team-centric culture where the ownership and responsibility of a feature or module lie with a team compared to an individual.

We value ownership, continuous learning, consistency, and discipline as a team.

Our Tech Stacks:

We work on an array of technologies, including but not limited to backend and frontend systems such as Java, Python, Spring Boot, Node.js, ReactJS, Next.js, Webpack, and Storybook; cloud and serverless platforms like AWS, etc; data and infrastructure technologies such as Elastic Stack (Elasticsearch), MongoDB, MySQL, Redis, Kafka, and Ansible; large-scale web crawling solutions; modern data pipelines and ETL workflows; and AI/ML-driven projects.

Job Overview:

We are looking for experienced software engineers with 6+ years of overall software development experience, including backend development and proven people-management skills. The ideal candidate will lead the engineering team(s), drive technical excellence, and ensure timely delivery of high-quality software solutions.

Job Responsibilities:

• Lead, mentor, and manage a team of software engineers
• Own technical planning, architecture discussions, and execution
• Collaborate with product managers and stakeholders
• Drive best practices in software development, testing, and deployment
• Conduct code reviews and ensure high engineering standards
• Manage delivery timelines, resource planning, and technical risks
• Support hiring, onboarding, and performance management of engineers

Job Requirements :

Professional Experience

•  Proven experience leading or managing software engineering teams
• Track record of delivering complex, scalable software systems
• Experience driving technical initiatives and influencing architectural decisions
• Strong collaboration experience with product, design, and cross-functional teams.

Technical Leadership & Management

•  Ability to mentor, coach, and grow engineers across different experience levels
• Experience conducting performance reviews and providing technical feedback
• Strong ownership of team delivery, timelines, and quality
• Experience balancing hands-on technical work with people management

Backend & System Architecture Expertise

• Strong proficiency in modern backend architectures, design patterns, and microservices architecture.
• Proficiency in at least one server-side programming language (e.g., Java, Python, etc.)
• Solid understanding of API design principles and implementation
• Hands-on experience with relational and non-relational databases and knowledge of data pipelines and data warehousing concepts.

Technical Competencies

• Strong system design and problem-solving skills
• Knowledge of caching strategies, performance optimization, and scalability
• Understanding of data modeling and query optimization
• Familiarity with search and indexing technologies
• Understanding of security best practices in backend systems

Culture:

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.