Backend Lead Engineer

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.

We are seeking talented software developers who are passionate about coding and building & scaling

products. If you love taking on new challenges and have a problem solving mindset to solve problems through

code, you will be a perfect fit for our rockstar engineering team.

Roles and Responsibilities:

● Design and develop backend architectures to support robust, scalable, and secure web applications and

systems with a focus on backend development using Django.

● Design, implement and maintain high quality RESTful APIs to support seamless communication between

frontend, backend and other services.

● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of

data.

● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of

infrastructure on cloud aiming for 0 downtime of systems.

● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.

Develop and maintain documentation for our backend systems, APIs, and data models.

● Conduct high quality code reviews and provide feedback to other team members to ensure best practices

are adhered to.

● Take ownership of the development, testing, and deployment of web applications. Break down high-level

business problems into smaller chunks and build systems.

● Work closely with the frontend development team, product managers, and designers to plan new features

and optimize existing ones.

● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving

them for increased efficiency.

● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required

Skills and Qualifications:

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

● 4+ years of experience in full-stack web development, with a focus on backend development.

● Strong proficiency in Python and Django, including experience with Django Rest Framework.

● Experience working with SQL/PostgreSQL databases, including schema design, querying, and

optimization.

● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.

● Familiarity of integrations with third party services and open source frameworks

● Strong understanding of data structures, algorithms, and software design patterns.

● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.

● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills.

Responsibilities:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers - such as SQLAlchemy - and multi-RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc. ) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Requirements:

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows, and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Technical Skills:

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular.
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark.
• Databases: PostgreSQL, Oracle, SQL Server, Redis.
• Tools: pytest, Docker, Git, Nx.
• Cloud: Experience with AWS, Azure, or GCP preferred.
• Monitoring: Familiarity with OpenTelemetry and logging frameworks.

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? 

Role Overview:

We are seeking a backend-focused Software Engineer with deep expertise in REST APIs,

real-time integrations, and cloud-based application services. The ideal candidate will build

scalable backend systems, integrate real-time data flows, and contribute to system design

and documentation. This is a hands-on role working with global teams in a fast-paced, Agile

environment.

Key Responsibilities:

• Design, develop, and maintain REST APIs and backend services using Python, FastAPI,

and SQLAlchemy.

• Build and support real-time integrations using AWS Lambda, API Gateway, and

EventBridge.

• Develop and maintain Operational Data Stores (ODS) for real-time data access.

• Write performant SQL queries and work with dimensional data models in PostgreSQL.

• Contribute to cloud-based application logic and data orchestration.

• Containerize services using Docker and deploy via CI/CD pipelines.

• Implement automated testing using pytest, pydantic, and related tools.

• Collaborate with cross-functional Agile teams using tools like Jira.

• Document technical workflows, APIs, and system integrations with clarity and

consistency.

• Should have experience in team management

Required Skills & Experience:

• 8+ years of backend or integrations engineering experience.

• Expert-level knowledge of REST API development and real-time system design.

• Strong experience with: Python (FastAPI preferred), SQLAlchemy.

• PostgreSQL and advanced SQL.

• AWS Lambda, API Gateway, EventBridge.

• Operational Data Stores (ODS) and distributed system integration.

• Experience with Docker, Git, CI/CD tools, and automated testing frameworks.

• Experience working in Agile environments and collaborating with cross-functional

teams.

• Comfortable producing and maintaining clear technical documentation.

• Working knowledge of React is acceptable but not a focus.

• Hands-on experience working with Databricks or similar data platforms.

Education & Certifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field (required).

• Master’s degree is a plus.

• Certifications in AWS (e.g., Developer Associate, Solutions Architect) or Python

frameworks are highly preferred.

Python Software Engineer (3–5 Years Experience)

Location: [Pune]

Role Overview

We are seeking skilled Python engineers to join our core product team. You will work on backend services, API development, and system integrations, contributing to a codebase of over 250,000 Python lines and collaborating with frontend, DevOps, and native code teams.

Key Responsibilities

·    Design, develop, and maintain scalable Python backend services and APIs

·    Optimize performance and reliability of large, distributed systems

·    Collaborate with frontend (JS/HTML/CSS) and native (C/C++/C#) teams

·    Write unit/integration tests and participate in code reviews

·    Troubleshoot production issues and implement robust solutions

Required Skills

·    3–5 years of professional Python development experience

·    Strong understanding of OOP, design patterns, and modular code structure

·    Experience with MongoDB (PyMongo), Mako, RESTful APIs, and asynchronous programming

·    Familiarity with code quality tools (flake8, pylint) and test frameworks (pytest, unittest)

·    Experience with Git and collaborative development workflows

·    Ability to read and refactor large, multi-module codebases

Nice to Have

·    Experience with web frameworks (web.py, Flask, Django)

·    Knowledge of C/C++ or C# for cross-platform integrations

·    Familiarity with CI/CD, Docker, and cloud deployment

·    Exposure to security, encryption, or enterprise SaaS products

What We Offer

·    Opportunity to work on a mission-critical, enterprise-scale product

·    Collaborative, growth-oriented engineering culture

·    Flexible work arrangements (remote/hybrid)

·    Competitive compensation and benefits

● 2–4 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Job Overview

Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.

Key Responsibilities

• Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
• Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
• Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
• Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
• Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
• Ensure system reliability, security, and low-latency performance for mission-critical systems
• Lead technical design discussions, conduct code reviews, and mentor junior engineers
• Optimize database queries, implement caching strategies, and improve overall system performance
• Collaborate with cross-functional teams to deliver end-to-end product features
• Implement monitoring, logging, and observability solutions

Required Skills and Qualifications

• 2+ years of professional backend development experience
• Strong expertise in NodeJS and Python for production-grade applications
• Proven experience building RESTful APIs and microservices architectures
• Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
• Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
• Strong proficiency in PostgreSQL, including query optimization and schema design
• Hands-on experience with RabbitMQ and Kafka
• Experience with BigQuery or similar data warehousing solutions
• Solid understanding of distributed systems, scalability patterns, and high-traffic applications
• Strong knowledge of authentication, authorization, and security best practices
• Experience with Git, CI/CD pipelines, and modern development workflows
• Excellent problem-solving and debugging skills
• Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus

Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351

Experience and Expertise

● 7– 10 years of experience in backend development with Python or Golang.

● Solid understanding of RESTful APIs, microservices, and distributed systems.

● Strong knowledge of data structures, algorithms, and OOPS principles.

● Hands-on experience with relational and/or NoSQL databases.

● Familiarity with Linux development, Docker, and basic cloud concepts

(AWS/GCP/Azure).

● Proficiency with Git and version control workflows.

● Familiarity with AI-powered development tools or exposure to projects involving large

language models (LLMs) is a plus.

Skills

● Strong analytical and debugging skills with the ability to solve complex problems.

● Good communication and collaboration skills across teams.

● Ability to work independently with minimal supervision while being a strong team

player.

● Growth mindset – eagerness to learn new technologies

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!