Staff Backend Engineer Fintech company

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.
• 
  

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Responsibilities:

• Collaborate with cross-functional teams, including front-end developers, product managers, and designers, to understand project requirements and translate them into technical specifications.

• Design and develop server-side logic, APIs, and database schema to support the functionality and performance requirements of our SaaS platform.

• Write clean, modular, and well-documented code using any relevant programming language preferably Java with SpringBoot.

• Optimize the backend systems for maximum speed and scalability, ensuring high performance and responsiveness of the application.

• Implement data storage solutions using PostgreSQL or other relational databases, ensuring data integrity and security.

• Conduct thorough testing and debugging to identify and resolve any issues or bugs in the backend code.

• Stay up-to-date with emerging technologies, industry trends, and best practices in backend development and contribute to the continuous improvement of our development processes.

Requirements:

• Proven work experience as a Backend Developer or similar role, with a focus on server-side development.

• Proficiency in working with relational databases, particularly PostgreSQL, and writing efficient SQL queries.

• Familiarity with SaaS concepts and architecture.

• Experience with API design and development, including RESTful APIs.

• Solid understanding of software development principles, including object-oriented programming, design patterns, and data structures.

• Experience with version control systems, such as Git.

• Strong problem-solving and analytical skills, with keen attention to detail.

• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

• Bachelor's degree in Computer Science, Engineering, or a related field is preferred, but not mandatory

What you need to have:

About us

At Lucidity, we are a year and a half old company and we work on helping large enterprises manage their cloud storage platform. 

Our founders bring with them more than a decade of experience working with top tech Gaints in the world, building and selling large tech products from zero to one. We are seeing a lot of early traction and expanding aggresively.

We are a B2B product based startup building the next generation of storage orchestration system for cloud. We are hiring agressively across multiple roles and looking for passionate engineers to join a very young and energetic team at Lucidity.

What you'll do

Technology is at the heart of our organization. As part of the tech team you will

• Understand product requirements and brainstorm ways to address them.
• Build features from scratch and have complete ownership for it.
• Deliver efficient, reliable, scalable code with high automated test coverage.
• Contribute to team decisions in the overall architecture and practices of the company.

What you'll need

Must haves

• At least 1 year experience in a product based company.
• Experience working with distributed environments.
• Comfortable with at least one Object Oriented Programming language.
• Hands on with AWS or at least one other public cloud.

Good to have

• Experience handling highly scalable systems.
• Experience with at least one among C++, Java.
• Experience with docker and Kubernetes.
• Experience with Linux file systems.

Additional

• B Tech/M Tech in Computer Science or equivalent from a reputed college.
• Good problem solving skills.
• Deeply technical with a track record of successful delivery.

Why us
We're hiring a set of highly skilled, enthusiastic and passionate people who thrive in a high growth environment. We believe the best way to grow is to give everyone the opportunity to pursue their interests. At Lucidity, you have complete freedom to work on projects that interest you. Plus, with benefits like flexible hours, company offsites, unlimited leaves, we ensure you enjoy the journey as much as we do.

Responsibilities: 

• Design and code efficient, scalable systems that can accept feedback from multiple hundred thousand employees and generate insights 
• Design efficient and scalable event driven systems to process complex machine learning pipeline
• Experiment with data to come up with unique insights and that can benefit our clients
• Identify libraries and technologies worth experimentation
• Participate in brainstorming sessions to bring more value to our clients
• Investigate performance issues / scalability bottlenecks, existing queries and/or write new queries with performance optimization in mind
• Develop RESTful APIs that can be used by frontend to show insights
• Debug and fix production level bugs as and when they crop up
• Support ad hoc data analytics upon requests by clients, and believe us nothing creates a better DB understanding than handling ad hoc data requests 

Requirements: 

• 3+ years of experience in architecture and developing high performance web applications 
• Experience with systems ingesting/processing high amounts of data is a plus 
• In-depth understanding of the entire web development process (design, development, and deployment) 
• Experience with SQL and NoSQL database 
• Working knowledge of RESTful API paradigms  
• Experienced in microservices architecture  
• Solid engineering principles and a clear understanding of data structures and algorithms
• Passion for products, empathy for users, and aspiration to make a big impact
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