Elevate Your Impact Through Innovation and Learning
Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all.
About Risk and Quant Solutions (RQS)
Risk and Quant is one of the fastest growing practices at Evalueserve. As an RQS team member, you will address some of the world’s largest financial needs with technology proven solutions. You would solve these banking challenges and improve decision making with award winning solutions.
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We are seeking a skilled and DevOps Engineer to join our dynamic team. 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.
What you will be doing at Evalueserve
C++ Development:
- 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.
- Understanding of Relation and non-relation databases
DevOps Engineering:
- 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, Elastic Search, Kibana, Grafana, Cassandra DB, etc., Kubernetes, and Consul.
What we’re looking for
- Graduate/Post-graduate in Computer Science/Engineering degree
- 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 advance 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.