Python Developer

About the company

This is a profitable, venture-backed startup that builds a unified API for HR, payroll, ATS, and benefits systems. Instead of integrating separately with dozens of HR and payroll platforms, customers integrate once with this platform. The company supports 65+ HR and payroll systems and processes over 100,000 syncs a day. It works with established players in the HR-tech and benefits space. The business is profitable and is growing 5 to 6 times year-over-year.

What this role really is

This role is centered on Python, FastAPI, and Postgres. The backend team is small, so this is not a sub-component of a sub-component. The engineer owns integrations end-to-end. If the company signs a customer who needs a new connector, for example Paycor, the engineer builds it, writes its tests, ships it to production, and is on-call when it breaks.

Some weeks involve writing connector code. Some weeks involve debugging a race condition in the worker pool. Some weeks involve joining a call with a customer's engineering team to help them understand an integration issue. The role is wider than it sounds.

First six months, roughly

• Month 1: Onboard. Ship one small fix to production in week one. Read the codebase. Understand how connectors are tested.
• Month 2: Take ownership of the first integration, likely a payroll connector that has not yet been built.
• Month 3: Ship it to a paying customer and join the implementation call.
• Months 4 to 6: Take on two more integrations and complete the first on-call rotation. Start contributing to shared infrastructure such as the auth layer, the rate-limit handler, and the sync orchestrator.

This ramp is intentionally fast. Candidates who find it energizing rather than intimidating are the right fit.

Who you are

• You have 2 to 5 years of experience writing production Python. FastAPI experience is ideal, and candidates with Flask or Django experience who can pick up FastAPI quickly are also a good fit.
• You have experience running Postgres in production, and you understand indexes and deadlocks, and you have debugged slow queries caused by missing WHERE clauses.
• You read other people's APIs critically and have opinions on good API design, including how pagination should work.
• You write commits and pull requests that explain your reasoning, not just the changes you made.
• You are comfortable debugging unfamiliar systems. The company integrates with 65+ external APIs, many of which have poor documentation, so reading network traces and reverse-engineering undocumented behavior is a regular part of the job.

Who you are not

• You are not someone who wants a clear ticket queue and a manager assigning work, since this team expects engineers to find work and run with it.
• You are not someone who needs a perfect spec before starting. Specs exist here but are often wrong, and the expectation is to ship, learn, and revise as you go.
• You are not someone who sees integration work as less interesting engineering. Moving the right data to the right place at the right time with the right guarantees is genuinely hard and valuable engineering work.

The offer

• Cash: Cash compensation is competitive for the Indian market and is indexed to what you would expect from a well-funded mid-stage startup. The company is profitable and pays real cash compensation rather than relying mainly on equity.
• Equity: Meaningful ESOPs with a 4-year vesting schedule and a 1-year cliff.
• Location: Based in Bengaluru, HSR Layout. Relocation support is available for candidates moving cities.
• Equipment: A MacBook Pro of your choice along with any other equipment you need.
• Health: Health insurance for the employee and their dependents.

Please apply here: https://tarlan.ai/apply/bnd-eng-3m9p

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?

Person should have strong knowledge in -

1. Core Java,

2. JSP

3. Spring Framework,

4. Spring Boot,

5. SOAP and REST Webservices

6. Application Security.

Person should have 4 to 6 Years of work experience in Java and the above-mentioned related technology.

Person should have good Oracle Database knowledge and have good communication skills.

Having work experience in BFSI domain will added advantage

Person needs to work from Mumbai location and also available to join the office

What you'll do?

●    Develop on server-side cloud software using a serverless approach (AWS).

●    Work hands-on on bringing to life IoT and Edge architectures and applications

●    Work with teams on delivering key features and performance targets.

Who You Are?

●    Passionate individual who loves to develop scalable backend

●    Strong programming capabilities

●    Understanding of cloud architecture and protocols.

●    Clear thought process, believe in simplifying rather than complicating

●    Argue and fight over opinions. Believe in always choosing the best

You Should Have

●    Experience on NoSQL Databases and designing REST API.

●    Strong fundamentals of Data structure and algorithm.

●    Done related projects during graduation/post-graduation.

●    Experience on AWS, AWS Lambda, AWS IoT Core, AWS Cloud Watch is a big plus.

Proficiency in Python