Python Developer

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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.

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.
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Requirements:

• Proficient in fundamental Software Design Principles, Data Structures, Algorithms, Problem Solving and Complexity Analysis.
• Proficient in programming languages like Python/Java/Javascript/Golang or similar.
• Strong understanding of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Hands-on Experience with SQL/NoSQL databases such as Postgres, Mysql, MongoDB.
• Hands-on experience with GIT, CI/CD, REST APIs and Cloud ( AWS/ GCP/ Azure) will be preferred.
• Understanding of Microservice Architecture and System Design Principles is a plus.
• Self-driven, detail-oriented and Strong sense of ownership, urgency, and ability to deliver great work.
• Demonstrated expertise in developing, releasing and maintaining large scale software applications.

Our team is looking for experienced backend engineers to lead the development of our cloud-based software products and be responsible for major technical decisions associated with them and accountable for their successful execution.

In this position on the software engineering team, you’ll have the opportunity to contribute to client and internal facing products. FarmSetu’s suite of products spans multiple technical domains and disciplines in software and hardware, and experience in end-to-end systems thinking across distributed components is key for this role.

• Design, implement and deploy back-end services
• Lead the delivery of software projects in a team-based environment
• Collaborate cross-functionally with business users, product managers, customer success representatives and other engineers to define, design, scope and ship new features using elegant solutions.
• Provide recommendations for continuous improvement.
• Work alongside other engineers on the team to elevate technology and consistently apply best practices.
• Help others to improve the quality of their work through regular design and code reviews
• Deliver new features to production environments and support them in operation
• Participate in building the open engineering culture at FarmSetu

FarmSetu’s technology stack includes (but will not be limited to) Python, Django/Flask/FastAPI, GraphQL, Hasura, React, Flutter, Dart, Postgres, Celery, Docker, Git/Bitbucket to be deployed on Digitalocean/GCP infrastructure. We’re also quick to adopt better tools and processes, so you’ll be more than welcome to help shape our tool suite.

• 2+ years of experience developing applications at an enterprise scale using the front and back-end technologies in our stack
• Ability to develop robust and scalable backend services defined by GraphQL and RESTful APIs in Python using OpenAPI standards
• Familiarity with Cloud/SaaS architectures and how to build secure and maintainable services
• Strong understanding of unit testing, design patterns and usage of tools like profilers
• Experience with source control and continuous integration tools
• Worked in an Agile multi-functional team
• Thrive in an environment that requires you to partner with multiple cross-functional teams as stakeholders/customers
• Great oral and written communication skills

• Competitive salary
• Annual compensation reviews
• 12 days of annual leave plus public holidays
• Ongoing investment in you and your skills
• The right equipment for the job

Responsibilities:

• Understanding requirements from the product manager and translating to technical specifications
• DB schema development
• API development (structuring REST endpoints + real-time endpoints like socket.io integration)
• Integrating 3rd party services for payments, email, whatsapp, and other such services
• Optimizing our current architecture & processes for scale (we expect usage to go up)
• Guiding junior developers on best coding practices

Requirements:

• Experience in at least one Python-based Web Framework like Flask or Django
• Experience in SQL databases & API design
• Experience with Docker
• Hands on experience in full lifecycle development and deployment of a platform/system
• Being a self-starter with the ability to thrive in ambiguous and high pressure scenarios working towards a common goal with other teams

We are actively seeking software development engineers who are interested in designing robust trading systems and refining programs to efficiently manage various types of financial market data that facilitate our quantitative investment research. By designing and improving the firm's internal applications, the SDE will play a key role in expanding the firm's trading capabilities.

Responsibilities:

• Management & scaling up existing infrastructure for high-frequency market data capture.
• Develop a scalable and consistent data handling infrastructure for the above data to facilitate efficient backtesting of quantitative investment strategies.
• Perform R& D; to build a software platform in Python for backtesting various kind of investment strategies using the above databases.
• This will involve studying the strategy development process and performance evaluation metrics.
• Develop autopilot risk-management systems to monitor live performance of the Portfolio.
• Improve the existing algorithms to achieve better execution price and reduce the latency.

Requirements:

Our ideal candidate would have graduated with a degree in computer science from a top university with 1-3 years industry experience, along with:

• High Level of proficiency in Python and good knowledge of Matlab/C++/C#.
• Past experience in dealing with large datasets and Knowledge of database administration and network programming will be a plus.
• Well-versed in software engineering principles, frameworks and technologies.
• The ability to manage multiple tasks in a fast-paced environment.
• Excellent analytical and problem solving abilities.
• A keen interest in learning about the financial markets.

• At least 4 years of experience programming in Python.
• Develop application code and modules for business and technical requirements.
• Tune up design for maintainability, scalability and efficiency.
• Resolve and troubleshoot problems and complex issues.
• Perform unit tests and fix bugs.
• Integrate best qualitative practices in design and development aspects of programs.
• Ability to mentor subordinates.
• Excellent communication skills.