- Writing efficient, reusable, testable, and scalable code
- Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
- Integration of user-oriented elements into different applications, data storage solutions
- Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
- Designing and implementing – High availability and low latency applications, data protection and security features
- Performance tuning and automation of application
- Working with Python libraries like Pandas, NumPy, etc.
- Creating predictive models for AI and ML-based features
- Keeping abreast with the latest technology and trends
- Fine-tune and develop AI/ML-based algorithms based on results
Technical Skills-
Good proficiency in,
- Python frameworks like Django, etc.
- Web frameworks and RESTful APIs
- Core Python fundamentals and programming
- Code packaging, release, and deployment
- Database knowledge
- Circles, conditional and control statements
- Object-relational mapping
- Code versioning tools like Git, Bitbucket
Fundamental understanding of,
- Front-end technologies like JS, CSS3 and HTML5
- AI, ML, Deep Learning, Version Control, Neural networking
- Data visualization, statistics, data analytics
- Design principles that are executable for a scalable app
- Creating predictive models
- Libraries like Tensorflow, Scikit-learn, etc
- Multi-process architecture
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system
- Basic knowledge about Object Relational Mapper libraries
- Ability to integrate databases and various data sources into a unified system

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About TIFIN
TIFIN is an AI-first fintech platform transforming wealth management through data science, machine learning, and intelligent automation. With strong global backing and a rapidly growing India hub, TIFIN is building scalable, next-gen financial products used by global institutions.
Role Overview
We are looking for a Senior Software Engineer with strong backend and AI integration experience to build scalable, high-performance systems. This role involves working closely with product, data science, and AI teams to develop intelligent platforms leveraging modern technologies and LLMs.
Key Responsibilities
- Design, develop, and scale backend systems and APIs using Golang and Python
- Build and integrate AI-driven features, including prompt-based workflows (Claude or similar LLMs)
- Work with MongoDB and Elasticsearch for high-performance data handling and search capabilities
- Optimize system performance, scalability, and reliability
- Collaborate with cross-functional teams (Product, AI/ML, Data Engineering)
- Contribute to architecture decisions and best engineering practices
- Write clean, maintainable, and production-grade code
Required Skills & Experience
- 3–5 years of experience in backend engineering
- Strong proficiency in Golang and/or Python
- Hands-on experience with MongoDB and Elasticsearch
- Experience working with LLMs / AI tools (Claude, OpenAI, etc.) and prompt engineering
- Good understanding of REST APIs, microservices architecture, and distributed systems
- Strong problem-solving and debugging skills
Good to Have
- Experience in fintech / SaaS platforms
- Exposure to AI/ML pipelines or data platforms
- Knowledge of cloud platforms (AWS/GCP/Azure)
- Familiarity with CI/CD and DevOps practices
Golang Engineer
Responsibilities
- Design, develop, and maintain scalable backend services using Golang.
- Build and enhance REST APIs, gRPC services, and microservice-based applications.
- Write clean, efficient, and well-tested code while ensuring high performance and reliability.
- Collaborate with cross-functional teams to deliver robust cloud-native solutions.
- Participate in code reviews, debugging, and performance optimization.
Requirements
- Strong proficiency in Golang.
- Good understanding of data structures, algorithms, concurrency, and OOP/functional programming concepts.
- Experience with REST APIs, gRPC, and microservices architecture.
- Hands-on experience with PostgreSQL/MySQL, MongoDB, or Redis.
- Familiarity with Git, CI/CD, Docker, and Kubernetes.
- Experience with unit testing, integration testing, and benchmarking.
- Exposure to AWS, Azure, or GCP.
- Knowledge of messaging systems such as Kafka, RabbitMQ, or NATS.
Good to Have
- Experience building high-performance distributed systems.
- Familiarity with cloud-native development and container orchestration.
Job Summary:
We are looking for an experienced Java Developer with 4+years of hands-on experience to join our dynamic team. The ideal candidate will have a strong background in Java development, problem-solving skills, and the ability to work independently as well as part of a team. You will be responsible for designing, developing, and maintaining high-performance and scalable applications.
Key Responsibilities:
- Design, develop, test, and maintain Java-based applications.
- Write well-designed, efficient, and testable code following best software development practices.
- Troubleshoot and resolve technical issues during development and production support.
- Collaborate with cross-functional teams including QA, DevOps, and Product teams.
- Participate in code reviews and provide constructive feedback.
- Maintain proper documentation for code, processes, and configurations.
- Support deployment and post-deployment monitoring during night shift hours.
Required Skills:
- Strong programming skills in Java 8 or above.
- Experience with Spring Framework (Spring Boot, Spring MVC, etc.).
- Proficiency in RESTful APIs, Microservices Architecture, and Web Services.
- Familiarity with SQL and relational databases like MySQL, PostgreSQL, or Oracle.
- Hands-on experience with version control systems like Git.
- Understanding of Agile methodologies.
- Experience with build tools like Maven/Gradle.
- Knowledge of unit testing frameworks (JUnit/TestNG).
Preferred Skills (Good to Have):
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with CI/CD pipelines.
- Basic understanding of frontend technologies like JavaScript, HTML, CSS.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
- Proven 2 to 12 years of professional experience in Node.js development
- Strong proficiency in JavaScript, including ES6+ syntax
- Expertise in designing and developing RESTful APIs and microservices architecture
- Experience with popular Node.js frameworks such as Express.js, Nest.js, or Hapi.js
- Experience in modern front-end technologies (e.g., HTML, CSS, JavaScript frameworks like React, Angular, or Vue.js)
- Solid understanding of asynchronous programming, event-driven architecture, and design patterns
- Extensive knowledge of database systems, both SQL and NoSQL (e.g., MongoDB, PostgreSQL, MySQL)
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Role
You will develop and maintain the key backend code and infrastructure of the company stack. You will implement AI solutions like LLMs for various tasks such as voice-based interactive systems, chatbots, and AI web apps. Ability to see projects through from start to finish with good organizational skills and attention to detail. This is a perfect role for someone who likes to build state-of-the-art AI products and work with cutting-edge AI technologies like GPT, LLAMA, etc
Qualifications
- BS or MS in Computer Science or relevant field.
- 4+ years experience in backend software development
- Be able to design high-throughput scalable backend systems
- Eagerness to learn applied AI technologies like LLMs, prompt engineering, etc
- Proficiency in Python.
- Experience with cloud computing platforms (AWS, GCP) and technologies like Docker
- Knowledge of Rest APIs, databases (mysql, mongo, vectorDB)
o Strong Python development skills, with 7+ yrs. experience with SQL.
o A bachelor or master’s degree in Computer Science or related areas
o8+ years of experience in data integration and pipeline development
o Experience in Implementing Databricks Delta lake and data lake
o Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Snowflake Spark
o Experience in working with multiple file formats (Parque, Avro, Delta Lake) & API
o experience with AWS Cloud on data integration with S3.
o Hands on Development experience with Python and/or Scala.
o Experience with SQL and NoSQL databases.
o Experience in using data modeling techniques and tools (focused on Dimensional design)
o Experience with micro-service architecture using Docker and Kubernetes
o Have experience working with one or more of the public cloud providers i.e. AWS, Azure or GCP
o Experience in effectively presenting and summarizing complex data to diverse audiences through visualizations and other means
o Excellent verbal and written communications skills and strong leadership capabilities
Skills:
Python
As an experienced engineer we know that you have built software to solve various business problems at your previous workplaces. You may have also explored technologies on your own for your learning or hobby projects.
- You will be building APIs for the Synup platform and also UI to make our platform capabilities available to our customers.
- You and the team that you are a part of will be collectively responsible building performant software and customer experiences that scale to our next million customers.
- You will be responsible for writing technical specs and contributing to it's implementation. We expect that you would have done the same in your previous workplaces.
- Other folks on our team are looking forward to learn from your experiences.
For engineers that join our team
- We expect you to be good with Ruby or Python to build APIs.
- You will be contributing to our UI that is built with React and GraphQL.
- We hope our team members have a strong grasp of software design patterns and know when to put them to good use.
- Experience with an SQL datastore would help a lot. PostgreSQL is our primary datastore.
- We optimize our search functionality and rollup reports by using ElasticSearch
- We expect that you have used Redis. Redis is our swiss army knife to solve a lot of problems apart from just caching.
- Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
- Designing, creating and maintaining our in-house software for business requirements
- Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
- Improve on existing tools to make trade monitoring systems robust and more reliable
Ideal candidate should have:
- Engineering degree in Computer Science (preferred) or any other discipline
- Experience on Python web app development (Preferably Django)
- Ability to work as a full stack developer
- Experience in Shell/Perl or Python scripting
- Prior experience of Linux or Unix based operating systems
- Ability to create automation scripts
- Experience/Knowledge of financial industry
- Ability to work in fast paced environment under pressure and manage multiple high priority projects
- Willingness to learn and work on new technologies
- Excellent communication skills
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.













