Golang Developer

Qualifications:

• 3+ years of professional software development experience, with a strong focus on backend development.
• Proficiency in one or more programming languages such as Java, Python or Golang
• Strong understanding of database systems, relational (e.g., MySQL, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and columnar (SingleStore, Redshift, BigQuery, Snowflake)
• Hands-on experience with message brokers such as Kafka, RabbitMQ, or Amazon SQS.
• Experience with cloud platforms (AWS or Azure or Google Cloud) and containerization technologies (Docker, Kubernetes).
• Proven track record of designing and implementing scalable, high-performance systems.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.

Job description

• Engage with the business team and stakeholder at different levels to understand business needs, analyze, document, prioritize the requirements, and make recommendations on the solution and implementation.
• Delivering the product that meets business requirements, reliability, scalability, and performance goals
• Work with Agile scrum team and create the scrum team strategy roadmap/backlog, develop minimal viable product and Agile user stories that drive a highly effective and efficient project development and delivery scrum team.
• Work on Data mapping/transformation, solution design, process diagram, acceptance criteria, user acceptance testing and other project artifacts.
• Work effectively with the technical/development team and help them understand the specifications/requirements for technical development, testing and implementation.
• Ensure solutions promote simplicity, efficiency, and conform to enterprise and architecture standards and guidelines.
• Partner with the support organization to provide training, support and technical assistance to operation team and end users as necessary
• Product/Application Developer
• Designs and develops software applications based on user requirements in a variety of coding environments such as graphical user interface, database query languages, report writers, and specific development languages
• Consult on the use and implementation of software products and applications and specialize in the business development environment, including the selection of development tools and methodology

Primary / Mandatory skills:

• Overall Experience: Overall 4 to 6 years of IT development experience
• Design and Code NodeJS based Microservices, API Webservices, NoSql technologies (Cassandra/MongoDb)
• Expert in developing code for Node-JS based Microservice in TypeScript
• Good Experience in understanding the data Transmission through pug/sub mechanism like Event Hub and Kafka
• Good Understanding of Analytics and clickstream data capture is HUGE Plus
• Good understanding of frameworks like Java Spring Boot, Python is preferred
• Good understanding of Microsoft Azure principles and services is preferred
• Able to write Unit test cases
• Familiarity with performance testing tools such as Akamai SOASTA is preferred
• Good knowledge on Source Code control like GIT, code clout, etc and understanding of CI/CD(Jenkins and Kubernetes)
• Solid technical background with understanding and/or experience in software development and web technologies
• Strong analytical skills and the ability to convert consumer insights and performance data into high impact initiatives
• Experience working within scaled agile development team
• Excellent written and verbal communication skills with demonstrated ability to present complex technical information in a clear manner to peers, developers, and senior leaders
• The desire to be continually learning about emerging technologies/industry trends

• 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

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

• Relevant Experience : Minimum 2 Years
• You have prior experience developing and working on consumer facing web/app products
• Hands-on experience on Python. Exceptions can be made if you’re really good on any other language with experience on building web/app based tech products
• Experience in at least one of the following frameworks - Django, Flask, Falcon, web2py, Twisted, Tornado
• Working knowledge of MySQL, MongoDB, Redis
• Good understanding of Data Structures, Algorithms and Operating Systems
• You've worked with core AWS services in the past and have experience with EC2, ELB, AutoScaling, CloudFront, S3
• You can dabble in Frontend codebases using HTML, CSS and Javascript
• You love doing things efficiently. At Fynd, the work you do will have a disproportionate impact on the business. We believe in systems and processes that let us scale our impact to be larger than ourselves
• You might not have experience with all the tools that we use but you can learn those given the guidance and resources

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

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.