Senior Backend Web Developer

Job Title : Python Django Developer

Location : Gurgaon (On-site)

Work Mode : 6 Days a Week (Work from Office)

Experience Level : 3+ Years

About the Role :

We are seeking a highly skilled and motivated Python Django Developer to join our team in Gurgaon. This role requires a hands-on developer with expertise in building scalable web applications and APIs using Python and Django. The ideal candidate will have a strong background in relational databases, message brokers, and distributed systems.

Key Responsibilities :

• Design, develop, and maintain robust, scalable, and secure web applications using Python and Django.
• Build and optimize back-end services, RESTful APIs, and integrations with third-party tools.
• Implement and maintain asynchronous task processing using Celery and RabbitMQ.
• Work with PostgreSQL to design and optimize database schemas and queries.
• Utilize Redis and Kafka for caching, data streaming, and other distributed system needs.
• Debug and troubleshoot issues across the application stack.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Ensure code quality through comprehensive testing, code reviews, and adherence to best practices.

Required Skills and Qualifications:

Technical Expertise:

• Proficiency in Python and strong experience with Django framework.
• Hands-on experience with PostgreSQL for database design and management.
• Familiarity with RabbitMQ, Celery, and Redis for asynchronous processing and caching.
• Experience with Kafka for building real-time data pipelines and event-driven architectures.

Other Skills:

• Strong understanding of software development best practices and design patterns.
• Proficiency in writing efficient, reusable, and testable code.
• Good knowledge of Linux/Unix environments.
• Familiarity with Docker and containerized deployments is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to work independently and in a collaborative team environment.

Preferred Qualifications:

• Experience in microservices architecture.
• Exposure to DevOps tools and practices.
• Knowledge of front-end technologies like React or Angular is a bonus.

Required Skills: CI/CD Pipeline, Data Structures, Microservices, Determining overall architectural principles, frameworks and standards, Cloud expertise (AWS, GCP, or Azure), Distributed Systems

Criteria:

• Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.
• Candidate must be from a product-based organization with a startup mindset
• Must be strong in one core backend language: Node.js, Go, Java, or Python.
• Deep understanding of distributed systems, caching, high availability, and microservices architecture.
• Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.
• Strong command over system design, data structures, performance tuning, and scalable architecture
• Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

Description

What This Role Is All About

We’re looking for a Backend Tech Lead who’s equally obsessed with architecture decisions and clean code, someone who can zoom out to design systems and zoom in to fix that one weird memory leak. You’ll lead a small but sharp team, drive the backend roadmap, and make sure our systems stay fast, lean, and battle-tested.

What You’ll Own

● Architect backend systems that handle India-scale traffic without breaking a sweat.

● Build and evolve microservices, APIs, and internal platforms that our entire app depends on.

● Guide, mentor, and uplevel a team of backend engineers—be the go-to technical brain.

● Partner with Product, Data, and Infra to ship features that are reliable and delightful.

● Set high engineering standards—clean architecture, performance, automation, and testing.

● Lead discussions on system design, performance tuning, and infra choices.

● Keep an eye on production like a hawk: metrics, monitoring, logs, uptime.

● Identify gaps proactively and push for improvements instead of waiting for fires.

What Makes You a Great Fit

● 6+ years of backend experience; 1–2 years leading engineers or owning major systems.

● Strong in one core language (Node.js / Go / Java / Python) — pick your sword.

● Deep understanding of distributed systems, caching, high-availability, and microservices.

● Hands-on with AWS/GCP, Docker, Kubernetes, CI/CD pipelines.

● You think data structures and system design are not interviews — they’re daily tools.

● You write code that future-you won’t hate.

● Strong communication and a let’s figure this out attitude.

Bonus Points If You Have

● Built or scaled consumer apps with millions of DAUs.

● Experimented with event-driven architecture, streaming systems, or real-time pipelines.

● Love startups and don’t mind wearing multiple hats.

● Experience on logging/monitoring tools like Grafana, Prometheus, ELK, OpenTelemetry.

Why company Might Be Your Best Move

● Work on products used by real people every single day.

● Ownership from day one—your decisions will shape our core architecture.

● No unnecessary hierarchy; direct access to founders and senior leadership.

● A team that cares about quality, speed, and impact in equal measure.

● Build for Bharat — complex constraints, huge scale, real impact.

Company Name – Wissen Technology

Group of companies in India – Wissen Technology & Wissen Infotech

Work Location – Pune

While you may already know about Wissen and the company history, here is a quick rundown for you.

About Wissen Technology:

·        The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·        Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·        Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·        Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·        Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·        We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·        Wissen Technology has been certified as a Great Place to Work®.

·        Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·        Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·        We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Description:

Experience Required: 3–5years

Job Title: Application Development Engineer (Python – Backtesting & Index Platforms)

Role Overview

We are seeking a strong Python Application Engineer to help build a next-generation Index Backtesting and Rebalance Platform.

In this role, you will design and develop deterministic, scalable calculation engines that convert financial methodologies into production-grade software.

You will work on portfolio construction, rebalancing logic, and historical simulations while consuming reference and market data from Snowflake using python as your core processing tool.

Key Responsibilities

Engine Development: Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting.

Large-Scale Simulation: Use Pandas, NumPy, and PySpark to run historical calculations across long time horizons and multiple index variants.

Workflow Integration: Integrate engines with orchestrators such as Airflow or Temporal using parameterized, config-driven execution.

Reference Data Consumption: Query and utilize pricing, security master, and corporate action data from Snowflake.

Quality & Reconciliation: Build automated test harnesses to validate outputs, compare against benchmarks, and guarantee reproducibility.

Performance Optimization: Improve runtime efficiency through vectorization, caching, and distributed computing patterns.

Cross-Team Collaboration: Partner with Business, Index Ops, and Platform teams to accelerate research-to-production onboarding.

Required Technical Capabilities

Python Expertise: Strong proficiency in Python application development with emphasis on clean architecture and maintainable design.

Data & Numerical Libraries: Deep experience with Pandas and NumPy; working knowledge of PySpark for distributed workloads.

Financial Computation: Ability to implement portfolio mathematics, weighting algorithms, and time-series transformations.

Config-Driven Systems: Experience building rule-based or metadata-driven processing frameworks.

Database Skills: Strong SQL and experience consuming structured data from Snowflake.

Testing Discipline: Expertise in unit testing, regression testing, and deterministic replay of calculations.

Orchestration Integration: Familiarity with Airflow, Temporal, or similar workflow engines.

Cloud Infrastructure: Solid understanding of AWS ecosystem services (S3, Lambda, IAM).

Technical Skills:

• Technical Skills:
• Python, PySpark, Pandas, NumPy, AWS (S3, Lambda), Apache Airflow, SQL, Financial Services Domain Knowledge, Strong Communication Skills.
• 
  

Role Overview

We are looking for a Senior Backend Developer with strong Node.js expertise who is comfortable working in an AI-assisted development environment. The ideal candidate should be proficient in leveraging modern AI developer tools to accelerate development, improve code quality, and help modernize legacy systems.

This role involves working on backend systems, microservices architecture, and AI-powered development workflows, including refactoring legacy applications into modern Node.js services.

Key Responsibilities

• Design, build, and maintain scalable backend services using Node.js.
• Leverage AI-powered developer tools such as GitHub Copilot, Cursor, or Amazon Q to improve development efficiency.
• Refactor and modernize legacy .NET applications into Node.js-based microservices using AI-assisted workflows.
• Design and optimize database schemas and complex SQL queries for performance and scalability.
• Work with PostgreSQL and Redis for high-performance data storage and caching.
• Build and integrate AI-based features and services into backend applications.
• Automate development workflows through custom CLI tools or IDE extensions.
• Collaborate with cross-functional teams to deliver high-quality backend solutions.

Required Skills & Experience

• 5+ years of backend development experience
• Strong expertise in Node.js backend development
• Hands-on experience with AI-assisted development tools (GitHub Copilot, Cursor, Amazon Q, or similar)
• Experience working with PostgreSQL and Redis
• Strong understanding of microservices architecture and API design
• Experience with AI engineering (building or integrating AI-powered features)
• Strong problem-solving and debugging skills

Good to Have

• Prior experience with .NET / C#
• Experience modernizing legacy systems
• Experience building developer productivity tools (CLI tools, IDE extensions, automation)
• Experience optimizing complex SQL queries and database migrations

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is one part a Digital Product Studio that specializes in building superior product experiences, and one part Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi million valuation companies in the US, and a handful of sister ventures for large corporations including Target, US Ventures, Imprint Engine.

We’re a team of 100 strong from around the world that are radically open minded and believes in excellence, respecting one another and pushing our boundaries to furthest its ever been.

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics