Overview
Software Engineer - Golang Developer - AWS - Kubernetes - Financial Services
Excellent opportunity opens for a talented Golang Developer with strong experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will play a key role in building mission-critical financial applications that power trading, investment, and risk management systems across the firm. The ideal candidate will have a good foundation in Golang development, with good experience in building scalable, high-performance applications with low latency and high throughput. Proficiency in containerization with Docker, cloud services with AWS, and a background in the financial or banking industries is highly desirable.
Key Responsibilities
* Design, develop, and maintain high-performance Back End services using GoLang to support financial applications and services, including trading platforms, investment systems, and risk management tools.
* Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure.
* Implement and manage containerized applications using Kubernetes, ensuring seamless orchestration, scaling, and resilience in a cloud environment.
* Write clean, efficient, and well-documented code while following best practices for financial systems development, focusing on performance and security.
* Collaborate with other development teams, business analysts, and stakeholders to define and refine requirements, and ensure that applications meet financial regulatory standards and business needs.
* Optimize the performance of Back End services, ensuring low-latency responses and high availability, critical for financial services.
* Implement CI/CD pipelines, automated testing, and monitoring systems to ensure the reliability and stability of production systems.
* Proactively identify issues and bottlenecks in existing systems and propose solutions to improve the system's performance and scalability.
* Stay updated with new tools, technologies, and industry trends in cloud computing, containerization, and financial systems to continuously improve development practices and outcomes.
Ideal Skills
* Proven experience (2+ years) in GoLang Back End development, with a strong focus on performance optimization and building scalable systems for high-volume, high-frequency financial applications.
* Strong experience working with Amazon Web Services (AWS), including EC2, S3, RDS, DynamoDB, Lambda, and other cloud-native technologies.
* Hands-on experience with Kubernetes for deploying, managing, and scaling containerized applications in a cloud environment.
* Solid understanding of financial systems and services, particularly in areas such as trading platforms, investment management, and risk analytics.
* Experience in building microservices architectures and working with APIs (RESTful, gRPC, etc.) to integrate various systems.
* Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices.
* Experience with database systems (relational and NoSQL) and working with financial data.
* Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or CloudFormation).
* Ability to troubleshoot and resolve issues in production environments, ensuring uptime and performance in high-pressure, mission-critical scenarios.
* Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders in a fast-paced financial environment.
* Experience with serverless computing (AWS Lambda, etc.) to create efficient and scalable solutions.
* Knowledge of financial industry regulations and standards, particularly around data security and privacy.
* Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing.
* Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI.
* Understanding of performance monitoring and observability tools such as CloudWatch, Prometheus, or Datadog.
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