Python Distributed System Engineer

Experience: 8+ years, senior candidates only | Type: Full-time | Location: Remote (India)

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 WHAT WE'RE BUILDING

 See http://www.juliet.space

 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.

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 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.

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 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.

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 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

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 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.

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 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.

Position: Python Developer

Location: Andheri East, Mumbai

Work Mode: 5 Days WFO

Availability: Immediate joiners only (or notice period completed)

What We're Looking For:

✅ 2+ years of solid Python development experience

✅ Django framework expertise - must have!

✅ FastAPI framework knowledge - essential!

✅ Database skills in MongoDB OR PostgreSQL

✅ Ready to work from office 5 days a week

About the Role

We are seeking a highly skilled Tech Lead who can drive the development of high-performance, scalable products while contributing hands-on to coding, architecture, and system design. You will work closely with a small engineering team, guiding them in technology decisions, quality delivery, and best practices while also taking ownership of key modules yourself.

Key Responsibilities

• Lead end-to-end product development from design to deployment.
• Act as both a technical contributor and mentor within a small, agile team.
• Architect scalable, robust, and secure backend and frontend systems.
• Participate in and guide:
• System design & architecture decisions
• Algorithmic analysis and performance optimization
• Database modeling and API design
• Write clean, maintainable, high-quality code.
• Own deployment pipelines and ensure reliable production releases.
• Collaborate with cross-functional stakeholders to translate requirements into actionable technical plans.
• Conduct code reviews, enforce coding standards, and ensure engineering excellence.
• Troubleshoot and solve complex technical challenges in production environments.

Required Technical Skills

• Strong expertise in Node.js and/or Python.
• Hands-on experience with TypeScript and React.js for frontend development.
• Knowledge of Go (Golang) is a strong advantage.
• Deep understanding of:
• Data Structures & Algorithms
• System Design
• Distributed systems concepts
• Microservices architecture
• Experience with deployment using:
• Docker, Kubernetes, or similar orchestration tools
• CI/CD pipelines
• Cloud platforms (AWS / GCP / Azure)
• Strong understanding of databases (SQL and NoSQL).

Soft Skills

• Strong leadership and ability to guide a small development team.
• Clear communication with technical and non-technical stakeholders.
• Ownership mindset with focus on delivering quality, on time.
• Problem-solver with the ability to make quick and correct technical decisions.

Preferred Qualifications

• 4–10 years of experience in software development.
• Prior experience in a startup or fast-moving product environment.
• Experience deploying and managing real-world products at scale.

What We Offer

• Opportunity to build and influence real products end-to-end.
• A collaborative, high-ownership environment.
• Freedom to experiment and drive product and engineering decisions.

The TensorIoT Solutions Architect team partners with our customers and AWS to design and build some of the world's most modern cloud architectures and solutions. TensorIoT Solutions Architects collaborate with each other and their respective Sales counterparts to address customer challenges, oftentimes working together to formulate a solution for a given challenge.

A TensorIoT Solutions Architect assists the Customer with bridging the gap between business goals and technology solutions. As the customer’s trusted technical advocate, Solutions Architects not only helps organizations small and large understand best practices around advanced machine learning and cloud-based solutions, but also provides insight into areas such as migrations, modernizing existing infrastructure or applications, and building new and innovative solutions using cutting edge services.

As a Solutions Architect, you will have the unique opportunity to assist customers in shaping the future of their business. In order to accomplish this, you will be in constant communication with TensorIoT Delivery practice managers and industry and area-of-depth experts to help shape and execute the strategy to realize the customer’s overarching vision.

The TensorIoT Solutions Architect team is committed to ensuring harmony of both work and life. We do this by allowing for autonomy in your day-to-day activities, focusing more on the solutions and outcomes driven by customer obsession to steer your work day.

We’re looking for someone who has:

●      2+ years of design, implementation, or consulting experience in AWS application or infrastructure

●      4+ years within specific technology domain areas (Gen AI, ML/AI, IoT)

●      Technical degree in Computer Science or related field or equivalent experience

●      4+ years developing technology solutions in the cloud

●      At least 1 AWS Professional or Specialty certification

●      2+ Years of customer-facing experience in a pre-sales engineering role

●      Excellent written and verbal communication skills to articulate findings and recommendations to stakeholders.

●      The ability to create and present detailed reports and presentations.

●      Strong interpersonal skills to work effectively with different teams and stakeholders.

●      Time management and organizational skills to handle multiple projects simultaneously.

●      Adaptability and willingness to learn new tools and techniques as needed.

What we offer:

●      Flexible work hours and the ability to work from home

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google, and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion, and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Job Title: Backend Developer

Job Description: We are seeking a skilled Backend Developer to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs of our applications. Key responsibilities include collaborating with cross-functional teams to develop scalable and efficient backend systems, troubleshooting and resolving issues, and staying updated on industry trends. Proficiency in programming languages such as Python, Java, or Node.js, along with experience in database management and API development, are essential for success in this role. Strong problem-solving skills, attention to detail, and a passion for creating robust and high-performance backend solutions are highly valued.

Requirements:

Proficiency in one or more backend programming languages (e.g., Python, Java, Node.js)

Experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB)

Knowledge of RESTful API design and development

Familiarity with cloud services (e.g., AWS, Azure) is a plus

Strong problem-solving and troubleshooting skills

Collaborative mindset with excellent communication skills

Ability to work in a fast-paced and dynamic environment

Requirements:

• Energetic self-starter, with a desire to work in a startup environment.
• Proficient in advanced Java programming skills.
• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
• Nice to have understanding on MQ and DB
• Good hands on in Complex Event Processing systems.
• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
• Real world experience working with large datasets and NoSQL database technologies
• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
• Experience developing RESTful APIs for complex data sets
• Knowledge of container based development & deployment (e.g. Dockers, rkt)
• Expertise in software security domain, a plus

What You'll do:

• 2-5 years of experience building scalable backends using Python
• In-depth knowledge of Python/Django or Flask
• Familiar with oauth integration Social Networking API (Facebook, Twitter, Linked In, Google+)
• Experience integrating with mobile Apps
• Django/Flask permissions model, caching, async mechanisms
• Understanding of caching, database interactions
• Able to engineer the best performing solutions and always keeping scalability in mind

What makes you a great fit:

• Strong problem solving skills
• Knowledge of data structures and algorithms
• Hungry for more responsibility and knowledge
• Passion for building robust systems that are engineered to handle failure scenarios, an undying love and attitude for maintaining coding standards
• Strong advocate for producing quality software who makes sure issues are raised and resolved
• Experience with at least one of the cloud platforms like AWS, GCP, Azure, Digital Ocean etc. (docker, Kubernetes, microservice good to have)

Must have skillsets:

Skills : Python/ Django or Flask

Experience required: 3 -5 years

Job Type: Full time/ Permanent

Perks and Benefits :

• 5 days working.
• Flexible shift timings
• Company-sponsored certifications.
• Team friendly culture
• Flat hierarchy
• Carrom, Table tennis games, Cricket Tournament Participation for interested employees
• Snack-filled pantry for team members
• Group Medical Insurance (*)

Excellent programming skills in C/C++ and Python
Need experience on cloud/Virtualization experience.
Strong working experience in developing application on Linux 
Experience of working with multi-threading, IPC and socket programming is must.
Familiarity with OS concepts like memory management, scheduling etc. is desirable.
Familiarity with TCP/IP protocol stack is desirable
Knowledge of Linux networking stack including conceptual understanding of IPsec, iptables, conntrack, bridging, policy based routing etc. is desirable
Familiarity with container technology
Aware of Agile Methodologies, CI/CD methods
Experienced with all phases of project in development, testing and deployment and management of enterprise solutions.
Excellent verbal written communication skills.
Self-motivation and the ability to work under aggressive timeline is must.
Strong problem-solving skills and very good time management skills