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Open nowPosted 10 hours ago

Backend Developer (Go Language Developer)

Weekday AI

Where
Mumbai, MH, India
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Your applicationOpen nowBackend Developer (Go Language Developer)Weekday AI · Mumbai, MH, India

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The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted 10 hours ago

The posting

This role is for one of Weekday’s clients

Min Experience: 2+ years Location: Mumbai, Maharashtra, India JobType: full-time

We are looking for a skilled Backend Developer (Go Language Developer) with 3+ years of experience in Golang and a strong understanding of the stock market or financial services industry. The candidate will be responsible for designing, developing, and maintaining robust, scalable, and high-performance backend applications for financial and trading-related platforms.

The ideal candidate should have a solid understanding of financial markets, trading systems, real-time data processing, and backend architecture. They should be comfortable building reliable services that can handle high-volume transactions and time-sensitive market data.

Requirements

Key Responsibilities

  • Backend Application Development: Design, develop, maintain, and optimise Go-based applications and backend services for trading platforms, financial analysis tools, and market-related systems.
  • API Development and Integration: Build and integrate RESTful APIs and third-party services related to market data, trading systems, and other financial applications.
  • Performance and Scalability: Optimise application performance, scalability, and reliability, particularly in high-volume and low-latency trading environments.
  • Real-Time Data Processing: Develop solutions for real-time data ingestion, processing, and analysis, including market data feeds and transactional information.
  • Concurrency Management: Build efficient concurrent applications using Go's goroutines, channels, and other concurrency mechanisms.
  • Database Management: Design and optimise data storage solutions for large datasets using SQL and NoSQL databases.
  • Cross-Functional Collaboration: Work closely with frontend developers, data scientists, financial analysts, and other engineering teams to deliver end-to-end solutions.
  • Testing and Debugging: Write unit tests, troubleshoot issues, debug applications, and maintain high standards of code quality.
  • DevOps and Deployment: Follow continuous integration and continuous deployment (CI/CD) practices and work with containerisation and orchestration tools.
  • Security and Compliance: Ensure backend applications follow relevant data security standards and regulatory requirements applicable to the financial services industry.

Required Skills and Qualifications

  • 3+ years of hands-on experience in Golang development.
  • Strong understanding of Go programming concepts, language constructs, and best practices.
  • Good knowledge of stock markets, financial services, trading systems, and related technologies.
  • Proficiency in concurrent programming using goroutines and channels.
  • Experience designing, developing, and consuming RESTful APIs.
  • Strong understanding of microservices architecture and backend system design.
  • Hands-on experience with SQL and NoSQL databases, particularly in managing large datasets.
  • Familiarity with Go frameworks such as Gin, Echo, or similar.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Proficiency in Git and version control practices.
  • Strong analytical, debugging, and problem-solving abilities.
  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Must-Have Skills

  • Golang
  • Financial Markets
  • Stock Trading

Good-to-Have Skills

  • Gin
  • Echo
  • Docker

Preferred Qualifications

  • Experience developing financial applications such as trading platforms, order management systems, or portfolio management tools.
  • Familiarity with real-time data processing frameworks and messaging systems such as Kafka and RabbitMQ.
  • Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
  • Relevant certifications in Go programming or financial markets, such as CFA or FINRA-related credentials, are an advantage.
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