Senior Platform Engineer | Build platforms used to transform large-scale enterprise systems | Remote opportunity

1 week ago


Bangalore, India Geektrust Full time

Company overview: Opportunity with a modernization-tech company helping enterprises transform legacy systems into modern, cloud-native, scalable architectures. We build platforms, accelerators, and automated pipelines that enable engineering teams to migrate, modernize, and deploy faster — with reliability and zero friction. They are expanding our core engineering team and looking for a Platform Engineer who loves solving deep technical problems and shaping the future of modernization infrastructure. Role overview Years of experience: 4- 10 years of experience: You are the ideal candidate if you have: ● Proven experience in building and deploying large-scale platforms. ● Proficiency in programming languages like Python, Java, JavaScript, or Go. ● Expertise in containerization technologies (e.g., Docker) and infrastructure orchestration tools. ● Strong understanding of distributed systems principles and microservices architecture. ● Worked on event-driven architecture using tools like RabbitMQ ● Experience with NoSQL and RDBMS ● Experience working with APIs ● Working knowledge of front-end technologies like React ● Experience with cloud platforms like AWS, Azure, or GCP (familiarity with specific LLM deployment environments a plus). ● Excellent problem-solving and analytical skills. ● The ability to work independently and as part of a cross-functional team. ● A strong passion for innovation and a desire to build impactful solutions. ● Great code/design skills ● Adherence to practices like TDD, Clean Code, Domain-oriented design Bonus points for: ● Experience working with Large Language Models (LLMs) or other deep learning models. ● Familiarity with DevOps principles and practices. ● Experience with security best practices for cloud-based deployments. ● Experience in building IDE plugins ● Experience in extending an open source platform ● Experience in pipeline orchestration using tools like Airflow or similar What would you do here? In this role, you will: ● Design, develop, and deploy robust infrastructure for LLM integration within the Legacy Leap platform. ● Collaborate with AI Scientists to understand LLM requirements and translate them into scalable and secure platform components. ● Develop and maintain APIs and services for seamless interaction between the platform and various LLMs. ● Optimize platform performance for efficient handling of LLM workloads. ● Implement robust monitoring and logging solutions to ensure the health and performance of the LLM integration layer. ● Stay up-to-date on the latest advancements in LLM tools, frameworks, and platform engineering best practices. ● Contribute to developing internal documentation and best practices for LLM platform operations



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