Top Staff Engineer Jobs in NYC, NY
As a Staff Site Reliability Engineer, you'll enhance software delivery pipelines, collaborate with business units to design highly available systems, contribute to code and reviews, and mentor other engineers while ensuring scalable, reliable solutions. Your work will support a culture of quality and teamwork.
As a Staff Engineer, you will lead the transformation of Canoe Intelligence's event-driven microservices architecture. Your responsibilities include designing foundational components, collaborating with teams to mitigate risks, managing project timelines, and ensuring operational excellence through observable systems. The role emphasizes strong problem-solving skills and adaptability in a fast-paced environment.
The Staff Software Engineer at Datadog will lead the security incident response program, improve IR capabilities, mentor team members, collaborate with cross-functional teams, investigate and remediate security threats, and stay up-to-date with security trends.
As a Staff Engineer, Data, you will optimize core targeting capabilities and lead integrations with APIs, build data processing pipelines, and develop algorithms. You will collaborate with leadership and mentor less experienced engineers, focusing on delivering value and improving best practices.
As a Staff Engineer, drive high-value projects on Datadog's Log Management platform, focusing on design, scalability, resilience, and performance of distributed systems. Collaborate across teams to guide architectural decisions and mentor other engineers.
As a Staff Engineer on the SDK team at Beam, you will design and implement high-quality software that powers the company's social impact mission. You will lead technical strategy, mentor junior engineers, and collaborate on projects to enhance the Beam SDK and its applications in e-commerce. This role demands strong architectural skills and collaboration within a mission-driven team.
This role involves building the Enterprise Clinical workflows system for Butterfly Cloud, solving distributed systems problems, designing scalable solutions, mentoring engineers, and ensuring system reliability and performance.
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