Job Description We are seeking an experienced Python Backend Engineer to join our team in building high-performance, scalable backend systems for algorithmic trading. The ideal candidate will have strong expertise in developing exchange integrations, optimizing order management systems, and ensuring low-latency execution. Responsibilities Design and develop scalable backend systems for real-time trading applications. Build and optimize order management systems with smart order routing capabilities. Integrate multiple exchange APIs(REST, WebSockets, FIX protocol) for seamless connectivity. Develop high-performance execution engines with low-latency trade execution. Implement a real-time monitoring, logging, and alerting system to ensure reliability. Design fault-tolerant and distributed architectures for handling large-scale transactions. Work on message queues (RabbitMQ, Kafka) for efficient data processing. Ensure system security and compliance with financial industry standards. Collaborate with quant researchers and business teams to implement trading logic. Requirements Strong proficiency in Python (4+ years)with a focus on backend development. Expertise in API development and integration using REST, WebSockets, and FIX protocol. Experience with asynchronous programming(asyncio, aiohttp) for high-concurrency applications. Strong knowledge of database systems(MySQL, PostgreSQL, MongoDB, Redis, time-series databases). Proficiency in containerization and orchestration(Docker, Kubernetes, AWS). Experience with message queues(RabbitMQ, Kafka) for real-time data processing. Knowledge of monitoring tools(Prometheus, Grafana, ELK Stack) for system observability. Experience with scalable system design, microservices, and distributed architectures. Experience with real-time data processing and execution. Experience developing backtesting engines capable of processing millions of events per second. Understanding of rule-based trading engines supporting multiple indicators and event processing. Experience in data processing libraries: pandas, numpy, scipy, scikit-learn, and polars. Knowledge of parallel computing frameworks(Dask) for high-performance computation. Familiarity with automated testing frameworks for trading strategies and system components. Experience in data visualization tools for trading strategy analysis and performance metrics. Knowledge of quantitative trading strategies and algorithmic trading infrastructure. Contributions to open-source backend or data engineering projects. (ref:hirist.tech)

We are seeking an experienced Python Backend Engineer to join our team in building high-performance, scalable backend systems for algorithmic trading. The ideal candidate will have strong expertise in developing exchange integrations, optimizing order management systems, and ensuring low-latency execution. Responsibilities Design and develop scalable backend systems for real-time trading applications. Build and optimize order management systems with smart order routing capabilities. Integrate multiple exchange APIs(REST, WebSockets, FIX protocol) for seamless connectivity. Develop high-performance execution engines with low-latency trade execution. Implement a real-time monitoring, logging, and alerting system to ensure reliability. Design fault-tolerant and distributed architectures for handling large-scale transactions. Work on message queues (RabbitMQ, Kafka) for efficient data processing. Ensure system security and compliance with financial industry standards. Collaborate with quant researchers and business teams to implement trading logic. Requirements Strong proficiency in Python (4+ years)with a focus on backend development. Expertise in API development and integration using REST, WebSockets, and FIX protocol. Experience with asynchronous programming(asyncio, aiohttp) for high-concurrency applications. Strong knowledge of database systems(MySQL, PostgreSQL, MongoDB, Redis, time-series databases). Proficiency in containerization and orchestration(Docker, Kubernetes, AWS). Experience with message queues(RabbitMQ, Kafka) for real-time data processing. Knowledge of monitoring tools(Prometheus, Grafana, ELK Stack) for system observability. Experience with scalable system design, microservices, and distributed architectures. Experience with real-time data processing and execution. Experience developing backtesting engines capable of processing millions of events per second. Understanding of rule-based trading engines supporting multiple indicators and event processing. Experience in data processing libraries: pandas, numpy, scipy, scikit-learn, and polars. Knowledge of parallel computing frameworks(Dask) for high-performance computation. Familiarity with automated testing frameworks for trading strategies and system components. Experience in data visualization tools for trading strategy analysis and performance metrics. Knowledge of quantitative trading strategies and algorithmic trading infrastructure. Contributions to open-source backend or data engineering projects. This job was posted by Shivangi Mathur from Unifynd. Show more Show less

About The Role We’re looking for a Backend-Heavy Full Stack Developer to join our tech team. You’ll take the lead in designing and implementing scalable backend systems while also contributing to frontend development when needed. This role is ideal for developers who thrive in agile environments and enjoy building robust, secure, and high-performing server-side solutions that power modern web applications. Key Responsibilities Backend Development (Primary Focus): Architect, develop, and maintain scalable RESTful and/or GraphQL APIs. Write clean, efficient, and secure backend code using Node.js Develop and integrate microservices and backend services, ensuring fault tolerance and observability. Implement authentication, authorization, data validation, and business logic workflows. Optimize backend systems for performance, scalability, and maintainability. Database Management Design and manage relational and NoSQL databases like PostgreSQL, MongoDB, MySQL. Write and optimize complex queries, stored procedures, and indexing strategies. Ensure data integrity, backup, and recovery strategies are in place. Cloud Infrastructure & DevOps Deploy and monitor applications on AWS (preferred) Build CI/CD pipelines to automate deployment and testing. Manage containerized services using Docker and Kubernetes. Monitor system performance, perform load testing, and address scalability issues. Frontend Development (Supportive Role) Contribute to frontend development using React or Vue.js, focusing on integration with backend services. Ensure seamless data flow and user experience in collaboration with the frontend team. Collaboration & Problem-Solving Work closely with cross-functional teams including Product, Design, and QA. Troubleshoot production issues and lead root cause analysis. Review code, provide feedback, and mentor junior team members. Skills & Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience in full stack development with a backend focus. Deep expertise in backend frameworks and languages like Node.js and Python. Proficient in working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Hands-on experience with RESTful APIs, GraphQL, and building scalable backend systems. Familiarity with cloud platforms, preferably AWS. Strong understanding of containerization tools like Docker, orchestration using Kubernetes. Comfortable with Git and CI/CD best practices. Solid understanding of software design principles, architecture patterns, and system security. Preferred Skills (Nice To Have) Experience with microservices architecture. Hands-on with GraphQL APIs and Apollo Server/Client. Familiarity with Agile/Scrum development processes. Prior experience working on SaaS platforms or loyalty management systems. What We Offer A collaborative and inclusive work environment that fosters innovation. Opportunities to take ownership of features and drive architectural decisions. Competitive salary and comprehensive benefits. Work on cutting-edge products Skills: mysql,python,kubernetes,docker,aws,mongodb,restful apis,graphql,nodejs,react,git,node.js,ci/cd,postgresql Show more Show less

Responsibilities Develop roadmaps for system and product growth, ensure timely execution and quality delivery Estimate engineering effort during multiple stages of the product life cycle Collaborate with the engineering teams in accomplishing architecture, design and implementation goals Focus on details of software development, design, implementation and debugging Have high technical competence, strong technical background with track record of individual technical accomplishments Ability to play the role of the architect for the team Strong sense of ownership/ can do attitude and high attention to detail Work with designers, business analysts, and product managers to estimate and plan projects in an Agile environment Skills & Experience Hands-on experience in developing, designing & scaling complex systems Backend: Primarily Node.js Databases: Primarily, MySQL, MongoDB and Redis (cache) Web: React Strong Experience in REST API based Microservices development & integration that includes long running orchestration services Preferred AWS Services experience across - S3, EC2, AWS Lambda, RDS, Route 53, SQS, CloudFront, CloudFormation, etc. Experience with continuous integration and deployment automation tools such as Jenkins, Ansible, Travis CI etc Experience with graphQL frameworks. Writing API test cases and technical documentation. Experience creating public facing APIs and integrating 3rd party services The ideal candidate should be willing to commit fully to the company and drive the company forward. Skills: cloudfront,node.js,react,graphql,cloudformation,route 53,rest api,jenkins,travis ci,mongodb,ansible,s3,rds,redis,microservices,aws,ec2,sqs,mysql,aws lambda

Responsibilities Identifying and generating new leads for various industries. Developing and executing various strategic business plans. Working closely with the Enterprise Sales Team. Documenting and presenting reports after any business-related activity. Remain highly knowledgeable about industry trends, market activities, and competitors. Ensuring all the business development activities are coordinated and executed in a timely manner. Skills & Experience Strong business acumen and skills. Experience with tools like Apollo, MixMax and LinkedIn Sales Navigator Proficiency in Microsoft Office tools Must be an exceptional communicator. Excellent time management and organizational skills. Strong attention to detail and accuracy. Capable of flourishing in a competitive environment. Develop deep knowledge of Unifynd’s value proposition and connect it to the client’s needs. You must be highly motivated and continuously strive for personal and professional improvement. Should be based out of Mumbai Note: This is a paid internship.Skills: linkedin sales navigator,b2b sales,business acumen,apollo,time management,organizational skills,attention to detail,mixmax,lead generation,linkedin,competitive environment,microsoft office,motivation,communication