DevOps Engineer

Our client is a multinational IT consulting company, with presence in more than 45 countries across five continents. They are currently seeking a DevOps Engineer to join their team.

Mission:

The ideal candidate will develop and maintain high-performance C++ applications for risk management and quantitative modeling. You will join a global team of professionals providing services to major clients in the financial industry.

Main responsibilities/functions:

• Develop and maintain high-performance C++ (C++17 is a plus) applications for risk management and quantitative modeling.
• Write, optimize, and maintain performant C++ code to support financial analytics and trading systems.
• Collaborate with quantitative developers to build Excel-based analytics for front office desk integrating C++ pricing interface.
• Refactor and rewrite existing analytical code to enhance modularity, scalability, and performance.
• Ensure compliance with regulatory requirements by integrating risk management frameworks into applications.
• Work closely with cross-functional teams to design and implement scalable and reliable financial systems.
• Develop, optimize, and maintain SQL queries and databases to support financial applications.
• Manage and optimize Azure/AWS cloud infrastructure and applications.
• Strong Knowledge of GitHub Actions and Jenkins pipeline code and libraries.
• Experience with Docker and Kubernetes for multi-architecture builds.
• Scripting knowledge in Shell, Perl, or Python.
• Experience with SDLC tools such as Jira, Bitbucket, Git, etc.
• Familiarity with configuration management tools like Ansible, Chef, or Puppet.
• Experience with Infrastructure-as-Code (IaC) using Terraform.
• Integrate applications with open-source projects such as Prometheus, ElasticSearch, Kibana, Grafana, Cassandra DB, etc., Kubernetes, and Consul.

Requirements:

• 3-6 years of experience in writing performant C++ code.
• Experience in build tools (CMake, Make).
• Experience in the financial/banking domain with quantitative modeling is a plus.
• Familiarity with SQL and advanced proficiency in Excel Add-Ins, automation, Macros, etc.
• Knowledge managing and optimizing Azure/AWS cloud infrastructure and applications.
• Experience with Docker and Kubernetes for multi-architecture builds.
• Strong Knowledge of GitHub Actions for automated build and release management.
• Scripting knowledge in Shell, Perl, or Python.
• Experience with SDLC tools such as Jira, Bitbucket, Git, etc.
• Familiarity with configuration management tools like Ansible, Chef, or Puppet.
• Automate infrastructure provisioning and management on AWS and Azure using Terraform.
• Strong analytical skills and attention to detail.
• Excellent communication skills to explain complex concepts to non-technical stakeholders.
• Good verbal and written English communication skills.