Software Engineer
at A Series B-funded, Fintech company, based out of Bangalore
Python
Go Programming (Golang)● work directly with the product team to understand requirements, help formulate aggressive growth plans, and then translate that into an effective technical solution
● design and create services and system architecture for your projects
● participate in brainstorming sessions and contribute ideas to our technology, algorithms
and products
● dive into difficult problems and successfully deliver results on schedule
What will your day look like?
1. Own all services and tools
2. Develop and deploy required services responsible for the evolution of the overall product
3. Do server-side development in golang/python preferably (or any other language)
4. Deploying stuff in production in docker containers
5. Write tests
6. Invent awesome stuff to make your job easier
What are we looking for?
1. Motivation to design and build reliable, elegant backend services
2. Energy to build smart internal tools quickly
3. At least 1-2 years of backend development experience
4. Proficiency in golang is desired. We are open to you learning on the job.
5. Familiarity with SQL. Experience with Postgres, Redis is preferred.
6. Familiarity with message-oriented middleware like rabbitmq, google pubsub is preferred.
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonRole 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
DjangoJob Description: Python Developer
Experience: 2+ Years
Job Location: Nr. Iskcon Mega Mall, SG Highway, Ahmedabad
Timings: 10 AM to 7 PM
Job Description:
Technical Skills :
- Good knowledge of Python with 2+ years of minimum experience
- Strong understanding of various Python Libraries, APIs, and toolkits.
- Good experience in Django, Django REST Framework, and Flask framework.
- Understanding of AWS Serverless implementation using Lambda and API Gateway
- Hands-on Experience in Databases like Mysql, PostgreSQL.
- Good experience/understanding in Agentic AI / RAG.
- Proficient in NoSQL document databases especially MongoDB, Redis.
- Stronghold in Data Structures and Algorithm
- Thorough understanding of version control system concepts especially GIT.
- Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and how they impact the performance of your application.
- Excellent understanding of MVC and OOP. Bonus for the understanding of prevalent design patterns.
- Excellent debugging and optimization skills
Job Responsibilities :
- Building big, robust, scalable, and maintainable applications.
- Debugging, Fixing bugs, Identifying Performance Issues, and Improving App Performance.
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
- Handling complex technical issues related to web app development & discussing solutions with the team.
- Developing, Deploying, and maintaining Multistage, Multi-tier applications.
- To write high-performing code and will be participating in key architectural decisions.
- Project Execution & Client Interaction
- Scrum Implementation
PythonExperience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)
---
WHAT WE'RE BUILDING
We're building Juliet, an AI that runs marketing end to end. Our users are marketers, founders, CEOs, growth leads, agencies, and SMBs — not developers. They
tell Juliet the goal. She plans, writes production code, and ships real marketing: conversion-optimized websites, launch assets, campaigns, audits, autonomously.
That's the engineering problem in one line: the humans in the loop can't read code, so the agent has to get it right on her own — plan, build, self-correct,
recover, ship.
Under the hood: a browser-based studio backed by cloud sandboxes, a real-time SSE streaming pipeline, and a LangGraph agent working across 83 tools and 63 skill
modules. The agent isn't bolted onto the product. She is the product.
Small team, big ambitions. You'll ship things users touch daily, not write tickets about them.
---
THE ROLE
We're hiring one architect-level backend engineer to own Juliet's agentic infrastructure end to end. That means the agent graph, the execution environment, the
streaming pipeline, the state and memory systems — and setting technical direction for the engineers working alongside you.
This is a player-coach seat. You'll still write code every day, and your architectural calls become the product. You'll work directly with the founder. No PMs in
between.
Frontend is part of the system. You won't be leading it, but you'll need to understand how the agent's output reaches the browser and be able to ship full-stack
features when needed.
---
THE STACK
AI agent (primary): Python 3.11, LangGraph 1.x + LangChain, Anthropic / Google / OpenAI model providers
API (primary): NestJS 11, Supabase, Redis, PostgreSQL, Server-Sent Events
Infra (primary): Modal cloud sandboxes, Docker, Netlify deployments
Frontend (secondary): Next.js 15, React 19, TypeScript, Zustand, CodeMirror 6, XTerm.js
Monorepo: Turborepo, pnpm
---
WHAT YOU'LL WORK ON
The majority of your time is here:
Agentic AI workflows — Design, extend, and harden the LangGraph agent graph: multi-step planning, code generation, tool dispatch, self-correction, and recovery
across 83 tools and 63 skill modules. This is the core of the product.
Real-time streaming architecture — The SSE pipeline that carries every agent action from the Python backend through NestJS to the browser: event framing,
reconnection, health monitoring, interrupt handling for plan approvals and clarifying questions.
Agent execution environments — Sandbox lifecycle on Modal: container spin-up, file sync, terminal I/O, command execution, and live preview with per-asset esbuild
bundling. The agent lives here.
State and memory systems — LangGraph Postgres checkpointers, middleware-injected context (goals, design docs, memory anchors), conversation summarization. How
the agent knows what it knows.
Backend API and data layer — NestJS services, Supabase schema, Redis caching, quota enforcement, webhook handling. The plumbing the agent depends on.
Marketing intelligence pipelines — AEO, CRO, and brand-perception audit engines: multi-LLM probing, parallel inference, streamed structured reports, result
caching. Audit-at-scale infrastructure.
The remaining ~25% of your time:
Full-stack product features — Collaboration (roles and permissions), the Netlify deployment pipeline, subscription and quota flows, onboarding. You'll ship these
end to end — backend first, frontend to close the loop.
---
WHAT WE'RE LOOKING FOR
Must-have:
- 8+ years of professional software engineering, including meaningful time as a tech lead or systems architect who owned something end to end. Closer to ten is
the norm for people who thrive here.
- Both worlds on your resume: engineering rigor inside a large company and 0-to-1 ownership at an early-stage startup.
- Production agentic systems experience. You've built and operated LLM agent systems in production with LangGraph, LangChain, or equivalent — agent graphs, tool
use, state management, prompt engineering, evals. This means well beyond calling a chat endpoint.
- Strong Python. You design and ship production Python daily. The agent codebase is yours to own.
- Architect-level system design. You can own how data flows across four services, make tradeoffs under uncertainty, and defend every call.
- AI-native development workflow. You drive Claude Code, Codex, or similar agentic tools as everyday instruments — not occasionally. You have opinions about
working with coding agents because you do it constantly.
- Real-time backend systems. You've built SSE, WebSocket, or streaming API infrastructure in production — not just consumed it.
- Strong TypeScript. The API layer and most product features are in TypeScript. You're productive in it.
Strong plus:
- Background in developer tools, IDEs, or coding/execution platforms
- Container runtimes and sandboxed execution (Modal, E2B, Firecracker, or similar)
- Depth in PostgreSQL, Redis, and Supabase
- LLM observability and evals tooling (LangSmith or similar)
- NestJS or equivalent Node.js API framework experience
- React/Next.js — enough to ship a full-stack feature without handoff
- Exposure to marketing, growth, or publisher-facing products
---
WHY THIS ROLE IS DIFFERENT
You own the architecture. Not a feature factory. Not someone else's design doc. The technical execution of an AI product is yours to lead.
The agent is the product. You're not adding AI to an existing system. You're building and operating the system that is the AI. Every architectural decision
touches what Juliet can and can't do.
Hard problems, always. The system spans cloud sandboxes, streaming infrastructure, multi-step agent graphs, and a full-stack web product — for non-technical
users who can't course-correct a broken output. The bar is high.
Small team, real leverage. Your code ships to users the same week. No layers of approval.
---
HOW TO APPLY
Send us:
1. A short note on the most complex agentic system you've shipped: what broke, and what you'd redo. A link to something you've built that involves agent graphs, tool use, or autonomous multi-step execution
2. What is one thing you would improve about Juliet? It could be a feature or a bug.
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Experience: 10+ Years
Budget: 1.7 LPM
Employment Type: [Contract]
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- Strong proficiency in Python.
- Expertise in SQL (Postgres) and database optimization.
- Hands-on experience with OpenAI APIs.
- Strong command of FastAPI and microservices architecture.
- Solid knowledge of debugging, troubleshooting, and performance tuning.
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- Experience with Agentic Systems or ability to quickly adopt them.
- Exposure to modern CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP).
JavaGo Programming (Golang)PythonStealth Fintech startup looking for Software Engineer with 2+ year of experience.
We are looking to hire few engineers for this position ASAP.
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You will be a part of the founding engeering team. We are working cutting edge technology stack such as Cassandra, Terraform, Kubernetes, Redis, MongoDB, InfluxDB, Graphana, GoLang, AWS.
You will get the opportunity to work on a massive scale project, crawling 100+ Million pages per day, and very complex problems which will help you grow as an engineer.
Requirements:
- Past work experience with crawler / scraper is a MUST
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- Experience with programming languages like Java, C#, Go, Python, PHP
- Understanding of concepts like HTTP, Sessions / Cookies, IP rotation
- Expereince with AWS or Google Cloud
- Familiar with multithreading architecture
Python
Elastic SearchPython
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Amazon Web Services (AWS)
Architects are responsible for driving Technology & Best Practices in Engineering. We are a rapidly growing & constantly improving organisation. We seek very high levels of ownership in all individuals, especially leadership roles like this - Ownership of your team, your product. Going beyond your role & contributing to make the organisation & business better is an expectation.
Responsibilities:
- Actively participate in development along with team members for as much as 50% of their time, creating modules & systems that can then be treated as a working reflection of the best practices.
- Participating in code reviews, design reviews, architecture discussions.
- Being responsible for Scaling, Performance & Quality for the team
- Setting up best practices to help the team achieve the above and constantly thinking about improving the technology use are your responsibilities.
- Driving the adoption of these best practices around coding, design, quality, performance in your team and influence them for the entire organisation are also expectations from you.
- Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you are able to create
- Collaborate with Product Management and Product Development leaders in developing product visions and strategies.
- Define & drive implementation of long term technology vision for your product & team
- You will be the primary owner of the architecture of your product and will also be responsible for getting it reviewed, and making sure the system is built accordingly.
- Be an evangelist for technology & represent in external forums.
- Creating architectures & designs for new solutions around existing and new problem spaces
- Drive technology & tool choices for your team & be responsible for them.
Requirements:
- Quick & Excellent Problem solving skills for complex & large scale problems
- Exposure to a wide variety of problem spaces, technologies
- Very Strong System design and OO skills with a nifty ability to craft clean interfaces and operate at the right levels of abstraction
- Solid coding skills with ability to drive teams through massive refactoring exercise & improve coding standards across large code bases
- Deep knowledge, understanding & experience of working with a large variety of multi-tier architectures.
- Awareness of pitfalls & use cases for a large variety of solutions
- Deep understanding & experience of high performance web scale & real-time response systems with experience & expertise in a variety of large scale persistent systems including large databases
- Exposure to complete product development cycles - From inception to production to scaling up, supporting new requirements, re-architectures the Principle architects should have seen it all and ideally in multiple cycles.
- Should have been part of scalable product development cycles with either large data handling or large transaction processing exposure for 5 years
- Must have worked in a small setup (either a startup or a small & reasonably independent team)
- 8+ years of overall experience
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● You'll work on building web apps that are intuitive, intelligent and highly performant
● You will work with Designers, Solution Architect and Functional Consultant to define architecture and build
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● You should be able to work in unstructured situations and help structure problems through discussions,
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● Have experience of database design and querying with a focus on performance
● Have knowledge of REST paradigm, service-oriented architecture and distributed systems
● Have a clear understanding of data structures and algorithms
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- Must have strong knowledge in Python 2/Python 3
- Must have a strong knowledge of Web development using the Django web framework and API development experience using Django REST API.
- Flask framework or any other framework’s knowledge is great.
- Ability to write reusable, testable, and efficient code
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon