Support Engineer (Python)

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 the company

The company delivers the power of technology and intelligence to investors and companies and enables growth and value creation in the private unlisted markets. We make it easier for investors to know everything about a company, and a company to know everything about an investor. Our intelligence is used by more than 400+ customers across Venture Capital, Private Equity, Investment Bankers, and Corporates. Our intelligence covers the entire universe of Indian private companies and investors. We are gearing to power growth and transactions in private markets in India and around the world. We want our solutions to be reliable, timely and trustworthy to make investment and business decisions.

Founded in 2015 by IIT Madras Alumni Mr. Krishna Saraswati and Mr. Avinash Loganathan, as a fintech startup we have 3 products in the market. 1. PrivateCircle Research: Private Market Intelligence product. 2. PrivateCircle Connect: Intelligent Prospecting tool for Sales teams. 3. PrivateCircle Markets: Investment opportunities discovery platform.

About the role

We are looking for a Senior backend engineer with 4+ years of experience building large scale web applications. A highly skilled Python Developer with advanced coding abilities in Python.

Responsibilities:

• Design, Develop and maintain products using bleeding-edge technologies on Python
• Collaborating with the rest of the engineering team to design and deploy the code to test/production and implement new features.
• Debug, validate, review and test new and existing code.
• Act as a mentor to junior developers, providing guidance and support on technical issues.
• Write clean, efficient and well documented code
• As a Senior, you are required to regularly interact with their peers, managers and PMs (product/program managers).

Requirements:

• Advanced knowledge of Python (3+ years) with strong OOPs fundamentals.
• Version Control using git.
• Experience with web frameworks and MVC/ MVT architecture.
• Experience with Django framework and its ORM.
• Experience with REST API's and microservices architecture.
• In-depth knowledge of relational databases (e.g. MySQL, PostgreSQL) and NoSQL databases (e.g. MongoDB).
• Knowledge of distributed systems is a plus.
• Experience with Elasticsearch is a plus.
• Experience with Docker, Kubernetes or any other container technologies is a plus.
• Experience with Celery or other asynchronous task queues.
• Experience using system monitoring tools, automated testing frameworks and implementing server-side security.

We offer a dynamic and fast-paced work environment with ample opportunities for growth and advancement. If you're a highly motivated individual with a passion for coding and a desire to work with cutting-edge technologies, please apply today!

About the role

You'll join our Backend, Data & ML team and support API development, database work, integrations and data tasks under the guidance of senior teammates.

What you'll do

• Build and maintain backend APIs and services.
• Write database queries, migrations and data scripts.
• Support third-party and internal integrations.
• Help with data processing and cleaning tasks.
• Fix bugs, write tests and document your work.

What we're looking for

• 1-3 years of backend experience (internships and strong projects count).
• Working knowledge of Django and SQL.
• Understanding of REST APIs, databases and Git.
• Interest in data engineering and ML.
• Clear communication and willingness to learn.
• Experience working with AI tools for development such as Claude and Cursor

Note: You don't need to be full stack. A solid backend foundation and the ability to work with frontend and mobile teammates is what we're after.

Nice to have

• Python and basic data tools (for example pandas).
• Exposure to cloud platforms or Docker.

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

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.

We're hiring Drumbeat's first Senior Product Engineer to help us go to the next level.

We're not first-timers. We're the team that founded Phrasee in 2015 and grew it to more than 100 people, customers around the world, and a >$100m exit. Lots of people made lots of money, including the founding employees.

With Drumbeat, our plan is to do it all again… except this time, bigger and faster.

What is Drumbeat?

Drumbeat (www.drumbeat.com) predicts your next best action on LinkedIn, then copilots your team to turn invites, DMs and posts into pipeline.

We launched in September 2025 and have raised a £2m seed round led by a well-known VC. We're building the core team around our cofounders (Parry, Jonny and Dan) and Mohit, our Engineering Manager and Phrasee's first engineer. You'll report to Mohit.

What you'll be building on

• Setlist: a short, ordered list of the right things for each person to do today.
• Radar: predicts who each rep should connect with now, not everybody who matches a job-title search.
• Riff and AuthorDNA: help people find something worth saying, and write it in their own voice.
• Campaigns, Conversations, Backstage and Analytics: team-wide activity, replies, company knowledge and reporting.

Under the hood: Django and PostgreSQL, background jobs on Redis, LLM workflows, statistical models that learn what works, and integrations with LinkedIn and CRMs. A lot of our code is written with AI coding agents, inside a strict engineering process.

How we think about engineering

1. "Human-first AI, not AI-first humans." AI agents write a lot of our code. They don't make our decisions. We want someone super smart without AI, and even smarter with it, who knows when the machine is blowing smoke.
2. "Spend 55 minutes on the problem." Understand what's actually wrong before you fix it.
3. "Fix the class, not the instance." Every bug is an example of something bigger. Find the pattern, and fix it everywhere it lives.
4. "A check must be able to fail." A test you've never seen go red proves nothing.
5. "You don't need a Ferrari to drive to the supermarket." Simplicity over cleverness, every time.

What you'll own

1. Technical architecture. How Drumbeat is built, so it holds up as we add customers, features and integrations.
2. Shipping features end to end. From Parry and Mohit's briefs, and turning Parry's MVPs into production features.
3. Foundations. Scale, resilience (safe retries, timeouts and fallbacks when outside services wobble), cost and refactoring.
4. What you build. Once it's live, it's yours: you maintain it and fix it.
5. The hardest bugs. The ones nobody else can crack.

Your experience

• 8+ years as an engineer, at a product company, preferably B2B SaaS.
• Time at a smaller company, so you know how to get stuck in.
• You've owned a system in production, not just added features to one.
• Senior Python and Django: Postgres, background jobs, correctness in production.
• System architecture and refactoring.
• You direct AI coding agents well, and explain trade-offs in plain English to people who aren't engineers.

Where you'll work

Delhi / NCR. You'll be in our Delhi office some days each week, alongside Mohit.

Pay

₹40–65 lakh CTC, plus equity that vests as the company hits revenue milestones.

This is probably not a job for most people. Don't apply if you want an easy job. Apply if you want a hard one: lots of responsibility, very little bureaucracy, plenty to figure out, and a genuine chance to shape what this company becomes… and make a bunch of money as a result.

If that sounds exciting, LET'S PARTY.

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? 

This is a remote position.

About Leegality:

Leegality works with large Indian businesses to digitally transform critical compliance processes in a fast, easy and secure way.

We have multiple products across 2 categories:

Document Infrastructure:

Products that help businesses build paperless processes at scale:

1. Document Execution Workflow: A unified platform for businesses to digitally execute (eSign, eStamp, Template Pre-fill, Document Fraud Prevention etc.) agreements, forms and other documents in a compliant way. Currently in use by 2000+ Indian businesses from giants like HDFC and SBI Cards to high-growth disruptors like goDigit and Cars24.
2. Contract Management: An AI-powered platform for businesses to quickly review, negotiate and take action on contracts
3. Signstation: A simple platform for businesses to digitally sign simple documents like invoices, policies and letters in a cost effective manner

Consent Infrastructure:

1. Consentin: An end-to-end DPDP and Privacy compliance platform for Indian businesses
2. Consentin Lens: A data discovery platform for businesses to identify the personal data they collect and store.

If you’re interested in building mission critical software that operates at population scale (75 million + Indians have signed at least one document through Leegality) then join Leegality.

Curious about our impact? Explore our customer success stories: leegality.com/case-studies

Our Culture

At Leegality, trust, ownership, transparency, and having fun while doing meaningful work are core to how we operate — not just values on paper. Our team rated us an incredible 97 eNPS for FY 2023–24 — the highest among 175+ startups surveyed.

We focus deeply on helping our people grow and stay motivated. Some of the perks you’ll enjoy:

• Flexible working hours
• Hybrid work setup
• Bi-annual performance appraisals
• A culture that rewards initiative, curiosity, and impact

If you're looking for a place where you can make a real difference while working with smart, driven, and genuinely nice people, welcome to Leegality.

Location: Hybrid

Role Overview

We are looking for a Technical Lead – Python to lead the design, development, and evolution of scalable backend systems that power Leegality's products. This role combines hands-on backend development with technical leadership, enabling you to influence architecture, mentor engineers, and drive engineering excellence across the team.

You will work closely with Product, Design, QA, DevOps, and other engineering teams to build reliable, secure, and high-performance applications while fostering a culture of ownership, collaboration, and continuous improvement.

Key Responsibilities

• Lead the design, development, and maintenance of scalable backend applications using Python.
• Own the technical architecture of backend systems, ensuring scalability, reliability, maintainability, and security.
• Design, develop, and optimize RESTful APIs and microservices for high-performance applications.
• Drive architectural decisions, establish engineering best practices, and promote clean, maintainable code.
• Conduct code reviews and mentor engineers through technical guidance, pair programming, and knowledge sharing.
• Lead technical estimation, sprint planning, solution design, and execution for engineering initiatives.
• Optimize application performance through database tuning, caching, asynchronous processing, and efficient system design.
• Ensure high code quality through unit testing, integration testing, CI/CD pipelines, and automated deployment practices.
• Troubleshoot and resolve complex production issues while driving root cause analysis and long-term improvements.
• Evaluate and adopt new technologies, frameworks, and engineering practices to continuously improve the platform.
• Build and foster a high-performing engineering culture focused on collaboration, accountability, innovation, and continuous learning.

Desired Skills

• 7–11 years of experience in backend software development, with at least 2–4 years in a technical leadership role.
• Strong proficiency in Python and object-oriented programming concepts.
• Hands-on experience with Python frameworks such as Django, Flask, or FastAPI.
• Strong understanding of RESTful API design and development, authentication mechanisms (JWT/OAuth), and API security best practices.
• Experience designing scalable backend architectures, distributed systems, and microservices.
• Strong knowledge of relational databases such as MySQL or PostgreSQL, with experience in query optimization, indexing, and schema design.
• Exposure to NoSQL databases such as MongoDB and caching technologies like Redis.
• Experience with cloud platforms such as AWS, containerization using Docker, orchestration using Kubernetes, and CI/CD pipelines.
• Strong understanding of software engineering best practices, including design patterns, SOLID principles, code reviews, testing, and documentation.
• Experience with version control systems such as Git and modern development workflows.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.
• Ability to balance hands-on development with technical leadership and delivery ownership in a fast-paced product environment.
• Experience working in SaaS or product-based organizations is preferred.
• Exposure to AI-assisted development tools such as GitHub Copilot, Cursor, or ChatGPT is an added advantage.

• Python Scripting: Proficient in writing clean, efficient scripts using Python for automation and problem-solving.

• Web Frameworks: Skilled in Django/Flask/FastAPI for backend and REST API development, with frontend knowledge (React/Angular/Vue).

• Testing: Experienced in unit and integration testing with pytest and ensuring code quality using linting tools.

• Data Analytics: Capable of processing and analysing data using Pandas, NumPy, and visualization libraries like Matplotlib.

• Version Control: Proficient in using Git for source code management and collaboration through branching and merge strategies.

• Databases: Strong in SQL and NoSQL database design, query optimization, and management.

• Tools: Familiarity with additional build tools and CI/CD systems (e.g., Jenkins, GitLab CI/CD).

• Cloud technologies: Familiarity with AWS/Azure or GCP.

• Problem-Solving: Excellent analytical and problem-solving skills related to build systems and processes.

• Communication: Strong verbal and written communication abilities.

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