Python developer

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

Core Responsibilities:

• Design & Development: Architect and implement scalable backend services and APIs using Python or Golang, ensuring high performance, resilience, and extensibility.
• System Ownership: Take end-to-end ownership of critical modules, from design and development to deployment and support.
• Technical Leadership: Conduct design and code reviews, enforce best practices, and mentor junior engineers to raise the team’s technical bar.
• Collaboration: Work closely with product managers, architects, and other engineers to translate business requirements into technical solutions.
• Performance & Reliability: Troubleshoot complex issues in production systems, identify root causes, and design sustainable long-term solutions.
• Innovation: Evaluate new technologies, contribute to proof-of-concepts, and recommend tools that can improve developer productivity.
• Process Improvement: Drive initiatives to improve coding standards, CI/CD pipelines, and automated testing practices.
• Knowledge Sharing: Document designs, create technical guides, and share insights with the broader engineering team.

Experience and Expertise:

• 4–7 years of backend development experience with Python or Golang.
• Strong expertise in designing, developing, and scaling microservices and distributed systems.
• Solid understanding of concurrency, multi-threading, and performance optimization.
• Proficiency with databases (SQL/NoSQL), caching systems (Redis, Memcached), and messaging systems (Kafka, RabbitMQ, etc.).
• Hands-on experience with Linux development, Docker, and Kubernetes.
• Familiarity with cloud platforms (AWS/GCP/Azure) and related services.
• Strong debugging, profiling, and optimization skills for production-grade systems.
• Experience with AI-powered development tools is a strong plus; familiarity with concepts like 'agentic coding' for workflow automation or 'context engineering' for leveraging LLMs in system design is highly desirable.

Skills:

• Strong problem-solving ability, with experience handling complex technical challenges.
• Ability to lead technical initiatives and mentor junior engineers.
• Excellent communication skills to collaborate with cross-functional teams and articulate trade-offs.
• Self-motivated, proactive, and able to operate independently while aligning with team goals.
• Passionate about engineering culture, quality, and developer productivity.

Azure DE

Primary Responsibilities -

• Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
• Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
• Use Azure Data Factory and Databricks to assemble large, complex data sets
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
• Ensure data security and compliance
• Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures

Required skills:

• Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
• Azure DevOps
• Apache Spark, Python
• SQL proficiency
• Azure Databricks knowledge
• Big data technologies

The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).

Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

We are looking for someone who: ● Has 3+ years of experience working as a Backend Developer in high-growth consumer internet companies ● Is proficient in building RESTful APIs, has a strong understanding of relational and non-relational databases ● Prior working knowledge of Python/Django is a big plus ● Familiarity with modern CI/CD tools ● Knowledge of AWS or any other Cloud Platform services ● Ability to analyze and convert business requirements into technical requirements ● Has a high sense of ownership and a bias for action ● Is a people’s person and can lead without authority What will they be responsible for ● They will work on one or more of the tracks mentioned above ● Own the end-to-end delivery - design, execute, test and deploy ● Work as an individual contributor, champion code quality ● Build and train a team of rockstar engineers as the organization grows Why should this role excite you We are just getting started and people who join us at this juncture will: ● Do fulfilling, high-impact work ● Work directly with the founders and engineering leads ● Own and deliver, get complete ownership of whatever you do ● Work with colleagues from strong diverse backgrounds ● Solve a problem that millions of Indians are emotionally attached to but hasn’t seen any innovation ● Learn and grow at an unprecedented pace Tactical details ● Current stack: Python/Django, React, Kafka, Docker, AWS ● Location: Bengaluru (Work from office) ● Compensation: Structured as Fixed + ESOPs

Description:

For over 10 years, Zscaler has been disrupting and transforming the security industry. Our 100% purpose-built cloud platform delivers the entire gateway security stack as a service through 150 global data centers to securely connect users to their applications, regardless of device, location, or network in over 185 countries protecting over 3,900 companies and have detected 100 Million threats/day. 

We work in a fast-paced, dynamic and make it happen culture. Our people are some of the brightest and passionate in the industry that thrives on being the first to solve problems.  We are always looking to hire highly passionate, collaborative and humble people that want to make a difference.

About the role :

This is a senior staff backend engineer role in the engineering team that designs, implements and maintains our state of the art product IllusionBLACK. The team is responsible for designing and implementing secure, highly performant and maintainable product.

Responsibilities:

• Architect, develop and maintain high performance, fault tolerant and scalable cloud hosted service using NodeJS
• End to end responsibility to continuously create and monitor the services you build
• Help design reusable and clean API's for our frontend React app
• Guide team members with handling complex issues
• You will also be responsible for database schema design and development of migration scripts
• Experiment with new technologies and ideas and help shape our stack and processes

Requirement:

• 10+ years professional SW development experience
• All our production applications are built with either Typescript or Python. You must have a strong understanding of NodeJS express apps written in Typescript and ES6
• Must have good experience with Python
• Solid experience with databases is a must. We use and love Postgres here at Smokescreen
• You should be able to design a complex database SQL schema normalized to 3NF on the back of a napkin at 3am in the morning
• Deep understanding and working knowledge of Redis cache
• Experience with Solr or Elasticsearch is a must. We use Solr for our event analytics exclusively
• Experience with AWS, Azure or GCP is a plus. We have a large distributed application running on AWS
• Experience with Docker/Swarm is a plus
• Experience in some stream processing platforms like Kafka/Redis stream is a plus

• No day is the same - you will create technical designs that support varying client requirements
• You'll design and develop full-stack web applications using the latest web technologies, primarily Python and Django
• Write code/unit tests and be part of the test-driven development environment
• Leverage your skills in industry-standard tools to deliver weekly code releases
• You'll work in a no silos environment, frequently collaborating with global teams and roles across the organization

Who you are:

• 7+ years of experience developing great web applications
• You can build products from scratch
• You have expertise in the Django backend framework
• You are fluent in the Python language
• You have dabbled in any one of these front-end frameworks - Angular, React, Vue
• You understand when to use NoSQL vs. relational database
• you understand reporting/dashboards framework
• You are comfortable working up and down the stack
• You are able to convert ideas into designs and build them out
• Benefit if you have worked with payment gateways such as visa, Mastercard, etc.
  
  

• Experience in Web and Mobile Applications
• Agility and ability to adapt quickly to changing requirements and scope and priorities
• Experience in Java, Python.
• Deep understanding of data structures and microservices.
• Knowledge of Node.js
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Familiarity with front-end technologies
• User authentication and authorization between multiple systems, servers, and environments
• Interaction with multiple data sources
• Good understanding of SQL
• Understanding fundamental design principles behind a scalable application
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git .