Senior Golang Developer - Kubernetes - Financial Services

Senior Golang Developer – Kubernetes – Financial Services

Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity\’s London office. You will act as the team lead and play a key role in building mission‑critical financial applications that power trading, investment, and risk management systems across the firm.

If you are passionate about working in a dynamic, fast‑paced environment and are eager to apply your technical expertise to the financial services industry, this is the role for you.

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 lifecycle, such as infrastructure‑as‑code (e.g., 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 (e.g., 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.

Interested? Please Apply!