Python Lead

Role & Responsibilities

Design, develop, and implement high-quality software solutions for payment processing.

Maintain a regular release cadence and manage the product backlog.

Ensure timely and lossless communication across teams.

Uphold engineering values and best practices.

Collaborate with international teams to ensure successful product development and delivery.

Ideal Candidate

A strong technical background in software engineering and architecture, with experience in modern programming language

Ability to work independently with very little direction, taking full ownership of projects.

Identifying blind spots, anticipate challenges, and prioritize work effectively

Exceptional communication and organizational skills.

A Bachelor's degree in Computer Science, Engineering, or equivalent experience.

8+ years of relevant experience preferred

Proficiency using Python, Kafka, Kubernetes, and AWS

Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.

Experience with RDBMS/SQL is also preferred.

Job Details

- Job Title: Senior Backend Engineer

- Industry: SAAS

- Function – Information Technology

- Experience Required: 5-8 years

- Working Days: 6 days a week, (5 days-in-office, Saturdays WFH)

- Employment Type: Full Time

- Job Location: Bangalore

- CTC Range: Best in Industry

Preferred Skills: AWS, NodeJS, RESTful APIs, NoSQL

Criteria

· Minimum 5+ years in backend engineering with strong system design expertise

· Experience building scalable systems from scratch

· Expert-level proficiency in Node.js

· Deep understanding of distributed systems

· Strong NoSQL design skills

· Hands-on AWS cloud experience

· Proven leadership and mentoring capability

· Preferred candidates from SAAS/Software/IT Services based startups or scaleup companies

Job Description

The Role:

What You’ll Build:

1. System Architecture & Design

● Architect highly scalable backend systems from the ground up

● Define technology choices: frameworks, databases, queues, caching layers

● Evaluate microservices vs monoliths based on product stage

● Design REST, GraphQL, and real-time WebSocket APIs

● Build event-driven systems for asynchronous processing

● Architect multi-tenant systems with strict data isolation

● Maintain architectural documentation and technical specs

2. Core Backend Services

● Build high-performance APIs for 3D content, XR experiences, analytics, and user interactions

● Create 3D asset processing pipelines for uploads, conversions, and optimization

● Develop distributed job workers for CPU/GPU-intensive tasks

● Build authentication/authorization systems (RBAC)

● Implement billing, subscription, and usage metering

● Build secure webhook systems and third-party integration APIs

● Create real-time collaboration features via WebSockets/SSE

3. Data Architecture & Databases

● Design scalable schemas for 3D metadata, XR sessions, and analytics

● Model complex product catalogs with variants and hierarchies

● Implement Redis-based caching strategies

● Build search and indexing systems (Elasticsearch/Algolia)

● Architect ETL pipelines and data warehouses

● Implement sharding, partitioning, and replication strategies

● Design backup, restore, and disaster recovery workflows

4. Scalability & Performance

● Build systems designed for 10x–100x traffic growth

● Implement load balancing, autoscaling, and distributed processing

● Optimize API response times and database performance

● Implement global CDN delivery for heavy 3D assets

● Build rate limiting, throttling, and backpressure mechanisms

● Optimize storage and retrieval of large 3D files

● Profile and improve CPU, memory, and network performance

5. Infrastructure & DevOps

● Architect AWS infrastructure (EC2, S3, Lambda, RDS, ElastiCache)

● Build CI/CD pipelines for automated deployments and rollbacks

● Use IaC tools (Terraform/CloudFormation) for infra provisioning

● Set up monitoring, logging, and alerting systems

● Use Docker + Kubernetes for container orchestration

● Implement security best practices for data, networks, and secrets

● Define disaster recovery and business continuity plans

6. Integration & APIs

● Build integrations with Shopify, WooCommerce, Magento

● Design webhook systems for real-time events

● Build SDKs, client libraries, and developer tools

● Integrate payment gateways (Stripe, Razorpay)

● Implement SSO and OAuth for enterprise customers

● Define API versioning and lifecycle/deprecation strategies

7. Data Processing & Analytics

● Build analytics pipelines for engagement, conversions, and XR performance

● Process high-volume event streams at scale

● Build data warehouses for BI and reporting

● Develop real-time dashboards and insights systems

● Implement analytics export pipelines and platform integrations

● Enable A/B testing and experimentation frameworks

● Build personalization and recommendation systems

Technical Stack:

1. Backend Languages & Frameworks 

●  Primary: Node.js (Express, NestJS), Python (FastAPI, Django)

●  Secondary: Go, Java/Kotlin (Spring)

●  APIs: REST, GraphQL, gRPC

2. Databases & Storage

● SQL: PostgreSQL, MySQL

● NoSQL: MongoDB, DynamoDB

● Caching: Redis, Memcached

● Search: Elasticsearch, Algolia

● Storage/CDN: AWS S3, CloudFront

● Queues: Kafka, RabbitMQ, AWS SQS

3. Cloud & Infrastructure: 

● Cloud: AWS (primary), GCP/Azure (nice to have)

● Compute: EC2, Lambda, ECS, EKS

● Infrastructure: Terraform, CloudFormation

● CI/CD: GitHub Actions, Jenkins, CircleCI

● Containers: Docker, Kubernetes

4. Monitoring & Operations 

● Monitoring: Datadog, New Relic, CloudWatch

● Logging: ELK Stack, CloudWatch Logs

● Error Tracking: Sentry, Rollbar

● APM tools

5. Security & Auth

● Auth: JWT, OAuth 2.0, SAML

● Secrets: AWS Secrets Manager, Vault

● Security: Encryption (at rest/in transit), TLS/SSL, IAM

What We’re Looking For:

1. Must-Haves

● 5+ years in backend engineering with strong system design expertise

● Experience building scalable systems from scratch

● Expert-level proficiency in at least one backend stack (Node, Python, Go, Java)

● Deep understanding of distributed systems and microservices

● Strong SQL/NoSQL design skills with performance optimization

● Hands-on AWS cloud experience

● Ability to write high-quality production code daily

● Experience building and scaling RESTful APIs

● Strong understanding of caching, sharding, horizontal scaling

● Solid security and best-practice implementation experience

● Proven leadership and mentoring capability

2. Highly Desirable

● Experience with large file processing (3D, video, images)

● Background in SaaS, multi-tenancy, or e-commerce

● Experience with real-time systems (WebSockets, streams)

● Knowledge of ML/AI infrastructure

● Experience with HA systems, DR planning

● Familiarity with GraphQL, gRPC, event-driven systems

● DevOps/infrastructure engineering background

● Experience with XR/AR/VR backend systems

● Open-source contributions or technical writing

● Prior senior technical leadership experience

Technical Challenges You’ll Solve:

● Designing large-scale 3D asset processing pipelines

● Serving XR content globally with ultra-low latency

● Scaling from thousands to millions of daily requests

● Efficiently handling CPU/GPU-heavy workloads

● Architecting multi-tenancy with complete data isolation

● Managing billions of analytics events at scale

● Building future-proof APIs with backward compatibility

Why company:

● Architectural Ownership: Build foundational systems from scratch

● Deep Technical Work: Solve distributed systems and scaling challenges

● Hands-On Impact: Design and code mission-critical infrastructure

● Diverse Problems: APIs, infra, data, ML, XR, asset processing

● Massive Scale Opportunity: Build systems for exponential growth

● Modern Stack and best practices

● Product Impact: Your architecture directly powers millions of users

● Leadership Opportunity: Shape engineering culture and direction

● Learning Environment: Stay at the forefront of backend engineering

● Backed by AWS, Microsoft, Google

Location & Work Culture:

● Location: Bengaluru

● Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)

● Culture: Builder mindset, strong ownership, technical excellence

● Team: Small, highly skilled backend and infra team

● Resources: AWS credits, latest tooling, learning budget

About Simprosys InfoMedia:

Simprosys is a diverse team of E-commerce enthusiasts with a simple yet powerful goal of empowering E-commerce merchants with easily adaptable product listings’ and Ad management solutions. 

Our crew consists of budding techies developers who build and maintain the technological interventions to automate our product listing and ad management solutions. Support executives who are digital marketers themselves. Passionate designers with exceptional UI designing, motion graphics, animation, and video editing skills. Our marketing team consists of versatile content creators and brand strategists. 

Be a part of our E-commerce enthusiasts crew.

Job Title: Sr. Python Developer

Location: Ahmedabad (Onsite)

Skill Set: Python, JavaScript, Python frameworks (Flask, Django, Django Rest Framework), AWS, Data Science, Machine Learning.

 Responsibilities:

1. Develop and maintain Python applications, using frameworks like Flask or Django to create and manage APIs and web services.
2. Integrate various data sources and databases, including SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) systems, into a unified solution.
3. Model data for reporting and analysis, leveraging libraries like NumPy, Pandas, and Matplotlib to provide insights and communicate results to stakeholders.
4. Utilize AWS services, such as DynamoDB and Lambda, to build and deploy efficient, cloud-based solutions.
5. Manage code versions with GIT, ensuring effective tracking and collaborative development practices.
6. Employ strong debugging and optimization skills to ensure high performance and resolve issues promptly.

Requirements:

1. Strong knowledge and hands-on experience with Python, including its standard libraries, toolkits, and APIs.
2. Experience with web frameworks like Flask or Django, and familiarity with REST framework principles for web services.
3. Proficiency in database structures, with practical experience in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis) databases.
4. Experience with cloud platforms, especially AWS, and knowledge of services like DynamoDB and Lambda.
5. Skilled in Python libraries for data analysis, such as NumPy, Pandas, and Matplotlib, with an understanding of big data frameworks.
6. Excellent analytical and problem-solving skills, capable of debugging and resolving complex issues efficiently.
7. Strong grasp of data structures and algorithms, crucial for building efficient applications.
8. Thoroughly understand version control systems, particularly GIT, for effective code management and collaboration.

Job Description

• Design & implement backend APIs 
• Mentor junior developers technically.
• Actively work to reduce tech debt in the backend
• Work towards more stability & scalability of the backend
• Tech stack - Java, AWS, Aurora etc. 

Eligibility

• 4-8 years of product company experience
• OOP implementation experience. Programming language does not matter. We use Java internally but have hired folks from non Java background.
• Hands on experience in SQL, Dynamo DB, Postgres etc preferred. 
• Prior experience building REST APIs
• Advanced understanding of AWS stack
• Prior knowledge of solving problems at scale.

JD - Senior Dev with more than 5 years relevant experience

1. Working experience on web development using Python/Django
2. Comfortable with using Django framework.
3. Understanding of web servers
4. Knowledge in PostgreSQL, MySQL, and other database queries
5. Experience in using Redis cache.
6. Understanding of web technologies
7. Experience in REST API development using Django.
8. Strong hold on Apache
9. Integration of data storage solutions
10. Able to integrate multiple data sources and databases into one system
11. Understanding of JavaScript, and front-end JS frameworks like VueJS, React JS and Angular JS
12. Good communication skill
13. .net/.NET core will be an added advantage

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Good knowledge and experience of working with backend systems; 

designing server-side architecture, including production maintenance experience are must-haves.

At least 1-2 years of experience in any programming languages like Java, Ruby, PHP, Python and Node.js(Node.js preferred).

Understanding of micro-services oriented architecture.

Experience with Databases design (SQL, NoSQL) and analytics

Experience in driving and delivering complex features/software modules from technical design to launch.

Expertise with unit testing & Test Driven Development (TDD)