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This is an invitation to join Rialtic's Talent Community. It allows candidates to submit their resumes even if no suitable positions are currently available, promoting a diverse and inclusive workplace.
The Senior Cloud Engineer at Rialtic will be responsible for creating and maintaining cloud infrastructure, focusing on AWS and Cloudflare, while developing and automating deployment pipelines. They will collaborate with development teams, handle security concerns, and help with scaling challenges, all within a high-autonomy environment.
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
The Staff Engineer will enhance the core healthcare claims processing platform by developing features in Golang and Python, leveraging distributed systems expertise, and collaborating across teams to optimize workflows, performance, and security within cloud-native infrastructure.
As a Senior Golang Engineer at Rialtic, you will utilize Go to develop distributed batch and low-latency real-time services and APIs, contributing to the data ingestion, distribution, and reporting of a large-scale platform in a high-performance cloud environment.
The Technical Recruiter will partner with senior leaders to develop recruiting strategies, focusing on scaling tech teams. Responsibilities include analyzing funnel metrics, enhancing processes, sourcing candidates across various levels, and ensuring a strong candidate experience.
Seeking a Staff Engineer with experience in cloud-native distributed systems to work on core healthcare claims processing platform, automate manual processes, and collaborate with cross-functional teams. Focus on building solutions, improving workflows, and supporting system reliability and testing. Requires expertise in Golang, Python, and cloud services, with an emphasis on data-driven decision-making.
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