Tech Lead

InfyBytes AI Nimbus Data Systems is hiring Tech Lead job in Bengaluru (Bangalore) | Cutshort

Tech Lead
Tech Lead

3
\- 5 yrs
₹15L - ₹30L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
NodeJS (Node.js)
Java
Go Programming (Golang)
Python
NOSQL Databases
SQL
What we are looking for
– At-least 3 years of experience of development on backend applications. Full stack experience is a cherry on the top!
– Experience / knowledge of designing robust systems, maintaining & scaling them
– Experience with usage of NoSQL databases like MongoDB & with SQL and RDBMS Systems
– Experience of creating applications with any of the popular frameworks in Python, Java, GoLang, Node
– Experience with JS frontend frameworks like React, Angular, Vue etc is a big plus
– Well versed with versioning systems like git
– Understanding of rest API implementation
Some of the responsibilties you will be taking up are following
– Working on creating performant and fault tolerant systems which are scalable
– Design, build, and maintain high performance, reusable, and reliable codebase
– Effectively work with product to gather requirements, gain deep understanding of use cases and business needs, and translate into design and implementation.
– Maintain code integrity and organization.
– Manage basic devops related to CI/CD
– Creating secure systems
– Lead other junior developers
– Define optimal and minimal architecture to achieve product requirements
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Founded
:
2018
Type
:
Product
Size
:
0-20
Stage
:
Raised funding
About
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Posted by
Anubhav Kumar Rai
Bengaluru (Bangalore)
2
\- 5 yrs
₹20.4L - ₹24L / yr
Python
API
SQL
Systems design
Software deployment
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?
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Posted by
Pooja Sharma
Mumbai
2
\- 5 yrs
₹10L - ₹15L / yr
Python
FastAPI
RabbitMQ
Apache Kafka
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