Python Developer

Role & Responsibilities

Own the Client’s Outcome:

• Embed with enterprise customers – on-site and remotely – to understand their supply chain operations, data estate, and what success actually looks like for their business.
• Scope and design technical solutions for messy, real-world logistics problems – with a clear line to measurable impact: cost per delivery, SLA performance, empty kilometres.
• Own the full deployment lifecycle: architecture through go-live through steady-state. You’re accountable for the outcome, not just the code.

Build and Ship:

• Design, build, and maintain backend services in Node.js or Python that power routing, planning, and execution at enterprise scale.
• Build and own the integrations connecting Locus to client ERPs, TMS, WMS, and OMS platforms – these integrations are often the riskiest part of a deployment.
• Write production code that runs under real load. If it isn’t in production, it hasn’t shipped.

Be the Technical Interface with the Client:

• Run architecture reviews, lead integration workshops, and represent Locus in executive steering meetings. You need to be credible at every level of the client organisation.
• Bring field learnings back into the product and platform teams. Some of Locus’s best features started as a client workaround.
• Push back when a client request would compromise platform integrity – and propose a better alternative.

Show Up On-Site:

• Travel to client sites – domestic and international, up to ~30% of the time – for kick-offs, integration sprints, go-lives, and post-live reviews.
• Build the kind of relationship where the client’s ops lead calls you directly when something goes wrong at 2am, not a support ticket.
• Be comfortable wherever the work is: a warehouse floor, a logistics control tower, a C-suite boardroom.

Make the Next Deployment Easier:

• Document architecture decisions, integration patterns, and deployment playbooks – every engagement should make the next one faster.
• Work closely with Product, Customer Success, and Platform Engineering. Share what you’re seeing in the field; don’t wait to be asked.
• Mentor junior FDEs and raise the technical bar across the team.

Ideal Candidate

• Strong Forward Deployed / Field Engineer
• Mandatory (Experience 1): Must have 5+ years of backend engineering experience with hands-on coding in Node.js or Python, building production-grade systems
• Mandatory (Experience 2): Must have minimum 2+ years in client-facing / deployment-heavy roles, where they worked directly with enterprise customers
• Mandatory (Experience 3): Must have experience shipping and owning production systems end-to-end: From design → build → deployment → post-production support
• Mandatory (Tech Skills 1 - Backend & Systems): Strong in: Node.js or Python (must-have), Building scalable backend services
• Mandatory (Tech Skills 2 - Integrations): Must have experience with: Enterprise integrations (APIs, third-party systems), Systems like ERP / TMS / WMS / OMS
• Mandatory (Tech Skills 3 - Data & Messaging): Hands-on with: Relational + NoSQL databases, Event streaming / queues (Kafka / RabbitMQ or similar)
• Mandatory (Tech Skills 4 - Cloud & Deployment): Experience with: Cloud platforms (AWS / GCP / Azure), Docker + Kubernetes (or containerised deployments)
• Mandatory (Company): Top Product companies / Startups / SaaS / platform companies

We are looking to recruit an expert for backend software development at Webnyay. We are an enterprise SaaS startup catering to India and international markets. We are now growing fast and need a rockstar senior software developer who is an expert in Python/Django and GCP.

What we are looking for:

• At least 6 years of professional software development experience.
• At least 4 years of experience with Python & Django.
• Proficiency in Natural Language Processing (tokenization, stopword removal, lemmatization, embeddings, etc.)
• Experience in computer vision fundamentals, particularly object detection concepts and architectures (e.g., YOLO, Faster R-CNN)
• Experience in search and retrieval systems and related concepts like ranking models, vector search, or semantic search techniques
• Experience with multiple databases (relational and non-relational).
• Experience with hosting on GCP and other cloud services.
• Familiar with continuous integration and other automation.
• Focus on code quality and writing scalable code.
• Ability to learn and adopt new technologies depending on business requirements.
• Prior startup experience will be a plus!

Some of your responsibilities would include:

• Work closely in a highly AGILE environment with a team of engineers.
• Create and maintain technical documentation of technical design and solution.
• Build products/features that are highly scalable, secure, highly available, high performing and cost-effective.
• Help team in debugging.
• Perform code reviews.
• Understand the full feature set/ implementation and architecture of the applications.
• Analyze business goals and product requirements and contribute to application architecture design, development and delivery.
• Provide technical expertise for every phase of the project lifecycle; from concept development to solution design, implementation, optimization and support.
• Act as an Interface with business teams to understand and create technical specifications for workable solutions within the project.
• Explore and work with LLM APIs and Generative AI.
• Make performance-related recommendations, identify and eliminate performance bottlenecks (hardware, software, configuration); drive performance tuning, re-design and re-factoring.
• Participate in the software development lifecycle, which includes research, new development, modification, security, reuse, re-engineering and maintenance of common component libraries.
• Participate in product definition and feature prioritization.
• Collaborate with internal teams and stakeholders across business verticals.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

Job Description - 

Role - Sr. Python Developer

Location -- Manyata Tech Park, Bangalore 

Mode - Hybrid

Required Tech Skills:

• Experience in Python
• Experience in any Framework like Django, and Flask.
• Primary and Secondary skills - Python, OOPs and Data Structure
• Good understanding of Rest Api 
• Familiarity with event-driven programming in Python 
• Good analytical and troubleshooting skills

Backend Engineer (MongoDB / API Integrations / AWS / Vectorization)

Position Summary

We are hiring a Backend Engineer with expertise in MongoDB, data vectorization, and advanced AI/LLM integrations. The ideal candidate will have hands-on experience developing backend systems that power intelligent data-driven applications, including robust API integrations with major social media platforms (Meta, Instagram, Facebook, with expansion to TikTok, Snapchat, etc.). In addition, this role requires deep AWS experience (Lambda, S3, EventBridge) to manage serverless workflows, automate cron jobs, and execute both scheduled and manual data pulls. You will collaborate closely with frontend developers and AI engineers to deliver scalable, resilient APIs that power our platform.

Key Responsibilities

• Design, implement, and maintain backend services with MongoDB and scalable data models.
• Build pipelines to vectorize data for retrieval-augmented generation (RAG) and other AI-driven features.
• Develop robust API integrations with major social platforms (Meta, Instagram Graph API, Facebook API; expand to TikTok, Snapchat, etc.).
• Implement and maintain AWS Lambda serverless functions for scalable backend processes.
• Use AWS EventBridge to schedule cron jobs and manage event-driven workflows.
• Leverage AWS S3 for structured and unstructured data storage, retrieval, and processing.
• Build workflows for manual and automated data pulls from external APIs.
• Optimize backend systems for performance, scalability, and reliability at high data volumes.
• Collaborate with frontend engineers to ensure smooth integration into Next.js applications.
• Ensure security, compliance, and best practices in API authentication (OAuth, tokens, etc.).
• Contribute to architecture planning, documentation, and system design reviews.

Required Skills/Qualifications

• Strong expertise with MongoDB (including Atlas) and schema design.
• Experience with data vectorization and embeddings (OpenAI, Pinecone, MongoDB Atlas Vector Search, etc.).
• Proven track record of social media API integrations (Meta, Instagram, Facebook; additional platforms a plus).
• Proficiency in Node.js, Python, or other backend languages for API development.
• Deep understanding of AWS services:
• Lambda for serverless functions.
• S3 for structured/unstructured data storage.
• EventBridge for cron jobs, scheduled tasks, and event-driven workflows.
• Strong understanding of REST and GraphQL API design.
• Experience with data optimization, caching, and large-scale API performance.

Preferred Skills/Experience

• Experience with real-time data pipelines (Kafka, Kinesis, or similar).
• Familiarity with CI/CD pipelines and automated deployments on AWS.
• Knowledge of serverless architecture best practices.
• Background in SaaS platform development or data analytics systems.

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

Key Skills Required :

1. Proficiency in Python 3.x based web and backend development
2. Solid understanding of Python concepts
3. Strong experience in building web applications using Django
4. Experience building REST APIs using DRF or Flask
5. Experience with some form of Machine Learning (ML)
6. Experience in using libraries such as Numpy and Pandas
7. Hands on experience with RDBMS such as Postgres or MySQL including querying
8. Comfort with Git repositories, branching and deployment using Git
9. Working experience with Docker
10. Basic working knowledge of ReactJs
11. Experience in deploying Django applications to AWS,Digital Ocean or Heroku

Responsibilities :

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge
2. Building high quality code using coding standards based on the SRS/Documentation
3. Building component based, maintainable, scalable and reusable backend libraries/modules.
4. Building & documenting scalable APIs on the Open Spec standard
5. Unit testing development modules and APIs
6. Conducting code reviews to ensure that the highest quality standard are maintained
7. Securing backend applications and APIs using industry best practices
8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.
9. Optimizing code
10. Building and deploying the applications

• Total of 3-5 years of experience building cutting-edge products.
• Must have a degree in Computer Science or a related field. Strong understanding of object-oriented programming, concurrency, and fundamentals of computer science.

• Technically Hands-on, prior experience with scalable Architecture.
• Bring 3-5 years of software engineering and product delivery experience, with a strong background in algorithms.
• Excellent command over Data Structures and Algorithm Proficiency in implementation of algorithms and use of advanced data structures to solve problems in computing
• Exceptional coding skills in an Object-Oriented programming language (Python preferred with Django framework).
• Strong problem-solving and analytical skills.
• Experience with web technologies Java/Python, Linux, Apache, MySQL, solr, memcache, redis.
• Experience in architecting & building real-time, large-scale e-commerce applications.
• Experience with high-performance websites catering to millions of daily traffic is a plus.

• Java/ Python, MySQL, Redis, ElasticSearch, Problem Solving, Scalability, Design Patterns, Distributed System

• Develop complex software products that include scale, algorithmic complexity, and a huge amount of data.
• Build cutting-edge scalable systems by writing simple and efficient code.
• Code, develop, design, and architect features related to the existing application. We expect you to own modules end to end and take pride in the work products you ship
• Contribute to all aspects of an agile software development lifecycle including design, architecture, development, documentation, testing, and operations.
• Design, implement, and maintain highly scalable, multi-tier, distributed server software applications
• Deliver across the entire app life cycle, design, build, deploy, test, release to app stores, and support
• Working directly with developers and product managers to conceptualize, build, test, and release products
• Take responsibility for performance and stability for all server functions
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency