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v_rampratap

V Rampratap

@v_rampratap

Python DevOps Engineer K8s Docker GCP

Índia
Inglês, Hindi, Telugu, Marata
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Backend & DevOps Engineer with 5 years of experience. Specializing in the architecture of Scalable and Distributed systems. At OptAlpha, I bridge quantitative finance and bare-metal infrastructure, building Python-based trading engines for complex derivative strategies. My expertise spans distributed systems, ultra-low latency data pipelines, and highly scalable microservices. I leverage event-driven tools (Celery, RabbitMQ) and robust databases (Redis, Cassandra, PostgreSQL) to process high-volume market data, driven to build resilient, SEBI-compliant infrastructure on RKE2 Kubernetes.... Saiba mais

Habilidades

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v_rampratap
V Rampratap
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Conteinerização para DevOps
I will containerize your app and deploy to a cloud kubernetes k8s cluster
A partir deUS$ 20 /projetoMais detalhes
API e Integrações
I will develop containerized backend python applications
A partir deUS$ 15 /projetoMais detalhes

Portfólio

Experiência profissional

DevOps Engineer

Trading • Período integral

Jan 2022 - Present • 4 yrs 7 mos

• Engineered a Distributed Quantitative Backtesting and Algorithmic Trading Engine in Python that dynamically parses user-defined logic to simulate and trade highly versatile multi-leg derivative strategies and automated portfolio rebalancing workflows. • Orchestrated asynchronous workload distribution by developing a dedicated Data API and Trade Manager service that interfaces with the web frontend and databases (Cassandra, PostgreSQL), utilizing Celery and RabbitMQ to independently queue backtesting requests and manage live trade lifecycles (e.g., enable, disable, reset). • Architected a low-latency (sub-millisecond) data pipeline for the trading engine that streams external WebSocket data into a Redis database, enabling high-speed storage and API delivery. • Built a scalable, multi-broker service utilizing a stateless architecture, with distributed session management in Redis to ensure seamless API handling across all instances. • Ensured SEBI regulatory compliance by provisioning a multi-IP instance on Utho Cloud and engineering a proxy-based routing system within the broker service to map managed family and user accounts to designated static IPs. • Facilitated further SEBI compliance by open-sourcing the broker service, enabling users to self-host their own instances and seamlessly connect them to the core trading platform. • Streamlined deployment workflows by containerizing all application microservices (Docker) and implementing GitHub Actions to fully automate image builds and CI/CD pipelines. • Reduced operational costs by physically assembling and networking a custom on-premises Ubuntu server farm and NAS, deploying an RKE2 Kubernetes cluster on top of the configured bare-metal infrastructure to orchestrate the distributed microservices.

Tata_Consultancy Services

System Engineer

Tata Consultancy Services • Período integral

Feb 2021 - Feb 2022 • 1 yr

• Linux Server Administration