Rahul Singh

Experienced Site Reliability Engineer (SRE) with 14+ years in DevOps, Cloud, and Trading Systems. Expertise in AWS, Kubernetes, Terraform, and FIX Protocol. Proven track record in optimizing trading platforms, improving system reliability, and reducing latency for high-frequency trading applications.

Work Experience

JP Morgan chase, 25 Bank Street, Canary Wharf                                06th Jun 2022 to till date

• Cloud Technologies: In-depth knowledge of cloud platforms such as Amazon Web Services (AWS). Skilled in deploying, scaling, and managing applications in cloud environments.
• Automation and Configuration Management: Expertise in scripting languages (Python, Bash) to automate routine tasks, streamline deployments, and improve system efficiency. Proficient in using configuration management tools like Ansible, Puppet, and Chef to manage infrastructure.
• Prometheus and Grafana monitoring: Strong understanding of monitoring tools such as Grafana, Prometheus, Datadog etc. Using these tools for data Visualization, Scalability and Automation in Prometheus and then visualize it by dashboard Design and Creation in Grafana. 
• Continuous Integration/Deployment (CI/CD): Knowledge of CI/CD pipelines and tools like Jenkins, GitLab CI/CD. Skilled in automating build, test, and deployment processes for applications.
• Networking: Solid understanding of TCP/IP, DNS, load balancing, and network protocols. System administration and having experience in MySQL, SQL, NoSQL and KDB DBs.
• FPGA Infrastructure Development: Design, develop, and maintain the infrastructure required for FPGA-based systems. This includes creating and managing FPGA based application and optimizing FPGA-based deployments. Collaborate with hardware engineers and FPGA developers to deploy FPGA-based systems.
• Automation and Infrastructure as Code (IaC): Develop and maintain automation scripts and tools for Cloud and in premises infrastructure using languages such as Python or Bash. Implement Infrastructure as Code practices by using Terraform, Ansible, Puppet, Chef, AWS CloudFormation tools. 
• High-Performance Computing (HPC) Experience: Managed and optimized High-Performance Computing (HPC) server environments, including parallel processing, workload scheduling, and GPU acceleration for large-scale computations.
• Disaster Recovery and Business Continuity: Contribute to the design and implementation of disaster recovery plans and business continuity strategies for trading applications. Perform regular tests and drills to validate the effectiveness of recovery procedures and ensure minimal disruption.

Cognizant Technology Solutions                                                              Nov 2015 to April 2022

• Code management: Exposure on Gitlab/Github enterprise repository structure, branching strategy, merge/rebase workflow planning and execution for large-scale project. Have experience in svn as well.
• Jenkins CI/CD Pipeline: Experienced in Architecture, Development, Implementation and Operation of fully automated, govern, control CI/CD pipeline workflow for front end
• AWS Cloud experience: Creating EC2, S3 buckets, Lambda Functions, Elastic container clusters, CloudWatch events and rules with cloud formation templates and Terraform Templates. Using ECR (Elastic container repo) for code deployment managing the docker repo.
• Automation as Infrastructure as code: Creating and managing cloud formation templates for infrastructure automation. Creating Terraform Templates for projects. Managing Terraform state and creating and managing Terraform modules.
• Code Building: Creating build stage for Java microservices using maven and creating stages for automated testing with Junit. Using fortify scanning, sonar scan and Qualys for code quality and vulnerability management.
• Monitoring and alerting: Very good experience in creating Alerts, monitors and Dashboard in DataDog and App Dynamics. Platform Entities Monitoring Dashboard by using Build monitor and Jenkins Multibranch plugin.
• Deployment on cloud: Using Elastic container service (ECS) and Elastic Kubernetes service (EKS) to deploy the infrastructure stack on cloud. Using docker and Kubernetes in house as well for different projects.

Credit-Suisse (TCS)                                                                                  Nov 2015 to April 2022

• Worked as Platform DevOps Engineer in “Low Latency Electronic Trading Team” at Credit-Suisse, on behalf of Tata Consultancy Services.

Educational Qualifications

• Diploma in Engineering (ECE) July 2003 to July 2006 with 79.20%, From Polytechnic college, UP.
• Intermediate (M.P.C) from UP Board in July 2003 with 67.4%.
• Bachelor of Arts (Social Science) from IGNOU in Dec 2021.