rippling

Staff Platform Engineer

Loti AI, Inc

Remote, IND

Full-time

Senior · 8+ years experience

Remote

Discovered 3 weeks ago

AWSGoC++Python

Free

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Key skills for this role

AWSGoC++

Lead the design and development of scalable, high-performance, and resilient API-driven platform components and architectures that support our large-scale data processing needs, handling 100,000+ concurrent requests.
Provide technical leadership and mentorship to a team of engineers, setting standards for best practices in platform engineering, API design, and transaction processing.
Oversee the design, implementation, and management of our core APIs and underlying transaction processing systems, ensuring data integrity, security, and compliance.
Work closely with product managers, architects, and other engineering teams to understand business requirements and translate them into robust and scalable platform solutions and APIs.
Continuously optimize platform components, APIs, and transaction processing pipelines for performance, scalability, low latency, and cost-efficiency.
Stay up-to-date with the latest trends and technologies in distributed systems, API design, databases, and transaction management, and drive innovation within the team.
Tackle complex challenges related to high-volume transaction processing, data consistency, fault tolerance, and the integration of various system components through APIs.

8+ years of experience in software or platform engineering with a strong focus on building and operating large-scale, high-throughput systems, including significant experience with API development. At least 3 years in a leadership or senior role, demonstrating a track record of tackling complex technical challenges.
Deep understanding of distributed systems principles, concurrency control, data consistency models, and fault tolerance. Strong proficiency in API design principles, RESTful services, and experience with relevant protocols and data formats. Experience with relational and/or NoSQL databases in transactional contexts is essential.
Strong experience with cloud platforms (AWS preferred) and cloud-native technologies relevant to building scalable and resilient platforms and APIs

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