
At Pipaltree, we’re building an AI-enabled platform that helps brands understand how they’re truly perceived — not through surveys or static dashboards, but through real conversations happening across the world.
We’re a small team solving deep technical and product challenges: orchestrating large-scale conversation data, applying reasoning and summarization models, and turning this into insights that businesses can trust.
Requirements:
- Deep understanding of distributed systems and asynchronous programming in Python
- Experience with building scalable applications using LLMs or traditional ML techniques
- Experience with Databases, Cache, and Micro services
- Experience with DevOps is a huge plus

About Pipaltree AI
About
We are building The first AI driven brand health measurement system in the world. We conduct real conversations with real customers at scale to understand health of the brand and provide actionable insights.
Candid answers by the company
We help build stronger brands..
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About Us:
Tradelab Technologies Pvt Ltd is not for those seeking comfort—we are for those hungry to make a mark in the trading and fintech industry. If you are looking for just another backend role, this isn’t it. We want risk-takers, relentless learners, and those who find joy in pushing their limits
every day. If you thrive in high-stakes environments and have a deep passion for performance driven backend systems, we want you.
What We Expect:
• We’re looking for a Backend Developer (Python) with a strong foundation in backend technologies and
a deep interest in scalable, low-latency systems.
• You should have 3–4 years of experience in Python-based development and be eager to solve complex
performance and scalability challenges in trading and fintech applications.
• You measure success by your own growth, not external validation.
• You thrive on challenges, not on perks or financial rewards.
• Taking calculated risks excites you—you’re here to build, break, and learn.
• You don’t clock in for a paycheck; you clock in to outperform yourself in a high-frequency trading
environment.
• You understand the stakes—milliseconds can make or break trades, and precision is everything.
What You Will Do:
• Develop and maintain scalable backend systems using Python.
• Design and implement REST APIs and socket-based communication.
• Optimize code for speed, performance, and reliability.
• Collaborate with frontend teams to integrate server-side logic.
• Work with RabbitMQ, Kafka, Redis, and Elasticsearch for robust backend design.
• Build fault-tolerant, multi-producer/consumer systems.
Must-Have Skills:
• 3–4 years of experience in Python and backend development.
• Strong understanding of REST APIs, sockets, and network protocols (TCP/UDP/HTTP).
• Experience with RabbitMQ/Kafka, SQL & NoSQL databases, Redis, and Elasticsearch.
• Bachelor’s degree in Computer Science or related field.
Nice-to-Have Skills:
• Past experience in fintech, trading systems, or algorithmic trading.
• Experience with GoLang, C/C++, Erlang, or Elixir.
• Exposure to trading, fintech, or low-latency systems.
• Familiarity with microservices and CI/CD pipelines.
Python Developer
Location: Hyderabad (Apple Office)
Experience: 8+ years (Retail / E-commerce preferred)
Budget- 1.9 lpm + GST
Contract: 1 Year + Extendable
Job Responsibilities / Requirements:
- 8+ years of proven experience, preferably in retail or e-commerce environments.
- Strong expertise in Python development.
- Excellent communication skills with the ability to collaborate across multiple teams.
- Hands-on experience with Container & Orchestration: Kubernetes, Docker.
- Expertise in Infrastructure Automation via Kubernetes YAML configurations.
- Strong skills in Scripting & Automation: Python, Shell Scripts (Bash).
- Familiarity with CI/CD Pipelines: GitHub Actions, Jenkins.
- Experience with Monitoring & Logging: Splunk, Grafana.
- Immediate Joiners Preferred – Urgent Support Required.
Must have:
- 8+ years of experience with a significant focus on developing, deploying & supporting AI solutions in production environments.
- Proven experience in building enterprise software products for B2B businesses, particularly in the supply chain domain.
- Good understanding of Generics, OOPs concepts & Design Patterns
- Solid engineering and coding skills. Ability to write high-performance production quality code in Python
- Proficiency with ML libraries and frameworks (e.g., Pandas, TensorFlow, PyTorch, scikit-learn).
- Strong expertise in time series forecasting using stat, ML, DL and foundation models
- Experience of working on processing time series data employing techniques such as decomposition, clustering, outlier detection & treatment
- Exposure to generative AI models and agent architectures on platforms such as AWS Bedrock, Crew AI, Mosaic/Databricks, Azure
- Experience of working with modern data architectures, including data lakes and data warehouses, having leveraged one or more of the frameworks such as Airbyte, Airflow, Dagster, AWS Glue, Snowflake,, DBT
- Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying ML models in cloud environments.
- Excellent problem-solving skills and the ability to work independently as well as in a collaborative team environment.
- Effective communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
Good To Have:
- Experience with MLOps tools and practices for continuous integration and deployment of ML models.
- Has familiarity with deploying applications on Kubernetes
- Knowledge of supply chain management principles and challenges.
- A Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field is preferred
Engineering Manager – Backend
Opportunity in this role / Why should you join us?
Series D funded supply chain startup.
Requirements
- Software engineering experience of greater than or equal to 7 years
- Experience managing a technical team of at least 3 people
- Exposure to consumer facing products
- Strong technical background and ability to contribute to design and review
- Familiarity with our tech stack or an analogous tech stack
Technologies Used
- Web application frameworks : Ktor, Spring Boot, Ruby on Rails, Node.js, Java Play, AWS Lambda
- Languages : Kotlin, Java, Ruby, Javascript, Python
- Datastores : PostgreSQL, Aerospike, Redis, DynamoDB, Amazon Redshift
- Communication : HTTP, Amazon SQS, Sidekiq, Amazon SNS
- Server management : Amazon ECS, Docker
- Design frameworks : Domain Driven Design, Clean Architecture, Layered Architecture
Roles and Responsibilities
This role requires a person to drive the engineering of a set of products by aligning with business and product
stakeholders and building and upskilling a team to aid in this. The responsibilities include:
Business and product alignment and planning
- Work closely with business and product stakeholders to understand and align with product initiatives and iterations.
- Help shape the engineering requirement by aligning with the product manager and fleshing out concepts and user flows.
- Formalize business requirements into roadmaps and sprints.
- Product and system development
- Drive high level modeling and design for projects, also focusing on non-functional aspects, including but not limited to database design, communication protocols, deployment systems, etc.
- Drive adoption of design frameworks like domain driven design, clean architecture, etc., resulting in a robust layered architecture.
- Drive good code review practices, using the review process as a mentoring tool to upskill people.
- Ensure test coverage of systems, partly through unit and integration testing, and partly through blackbox testing by collaborating with the Quality Assurance team, via good testing practices.
- Project Management
- Drive the execution of the project by delegating tasks effectively.
- Resolve blockers through technical expertise, negotiation and delegation.
- Estimate timelines and ensure adherence to them through effective sync-ups and course corrections.
- Maintenance
- Formulate SLAs and oversee their adherence for the various systems, effectively tracking issues and performance inefficiencies.
- Performance monitoring and optimization for systems.
- Drive technical re-design, remodeling and refactoring of systems for robustness and sustainability.
- Team Management
- Typically manage a team of 3 - 6 members and a portfolio of 3 - 6 products.
- Do periodic assessment of reportees, chart their career growth paths and train them.
- Recruit members into the team by collaborating effectively with the recruitment team.
Product Overview
You will be contributing to products concerning both customers and partner drivers. Product sectors
include:
- Growth : You’ll build tools to help boost user growth on the platform including our industry bestdriver on-boarding, training and certification system, referral system, and lead managementmmodels.
- Lifecycle Management : Build tools to help users engage with the platform better, which includes rewards and recognition module, subscription service, account management tools, partner and customer wallets and payout modules, and churn detection systems among others.
- Transaction Experience : You’ll help deliver the most delightful booking experience to our customers and drivers. As part of this team, you’ll be responsible for our core booking system, pricing and payment systems, location tracking and filtering services, fraud prevention systems, and in-app ticketing and support among others.
- Fulfilment : As part of the fulfilment team, you’ll work on systems which ensure high degree of ride fulfilment on the platform. Tools including allocation methodologies and system, dynamic pricing, dynamic partner routing, and partner re-activation tools among others.
- Enterprise Solutions : You’ll help Porter’s enterprise customers achieve delivery excellence. You’ll build tools for contract management, fleet management, fleet and route optimisation tools, alerting and monitoring tools, and analytics suite among others.
Desired Experience
3+ years
Job Description
What You’ll Do
- Design financial systems for scale. Measure, plan, iterate.
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Setup and own the engineering architectures built around event sourcing, application sharding, database sharding, service communication mesh, etc.
- The tech: Go, Google Cloud Spanner, Kafka, Redis
What you bring to the table
- 3+ years of experience. Relevant experience is preferred.
- Knowledge of 2 common programming languages - Python & Go / Java & Node / Rust
- Comfortable in linux command line, AWS or GCP
- Strong unit test and debugging skills
- Great communication skills
Bonus if you have…
- Love building great products and engineering systems from scratch
- Are a Self-starter, Hustler and Curious to Learn
- Have an understanding of fundamental design principles behind a scalable application
- Thrive in an early-stage startup environment with less stability and more ambiguity
- Have an interest in financial products and/or cryptocurrency
We are looking for a Backend Developer who has 4-6 years of experience in designing, developing, and implementing backend services using Python and Django.
- Responsibilities-
- Design highly scalable, testable code and follow Test Driven Development methodology
- Able to write well-organized, modularised code with test cases.
- Contribute to the design and architecture of our backend APIs and deployment of microservices
- Ensure adherence to engineering best practices and maintain the overall quality of our codebase.
- Work with the product team to translate powerful ideas into everyday business value.
- Skills-
- Back-end programming language: Python
- Familiarity with Django or Flask framework
- Familiarity with AWS and Elastic Search
- Experience in SQL and NoSQL databases with an insight into various data modeling use cases
- Experience with system & unit testing
- Familiarity with containerized deployment
- Proficiency with Git
- Sound with data structures and algorithms and have a good understanding of design patterns, software architectures









