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Principal Software Engineer, Distributed Systems

Yammer

Redmond, WAJobPosted 4 days agoStill listed 1 day ago

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At a glance

Compensation
No compensation found
Location
Redmond, WA
Work Authorization
Not specified

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Job overview

The Principal Software Engineer will design and develop distributed software systems and scalable APIs, data pipelines, and feature stores connecting ML systems with product surfaces. The role includes improving backend reliability and performance, responding to production incidents, and collaborating with engineering, product, and partner teams to deliver solutions. Candidates need substantial technical engineering experience and expertise in large-scale system architecture and software engineering.

Skills & qualifications

RequiredNice to have

Skills

Distributed SystemsAPI DesignData PipelinesFeature StoresInstrumentationMonitoringCapacity PlanningIncident ResponseSystem ArchitectureMicroservicesDatabase DesignPerformance TuningTelemetry AnalysisCC++C#JavaJavaScriptPythonData StructuresAlgorithmsTestingDebuggingAnalytical SkillsProblem SolvingCommunicationData Analysis

Qualifications

Bachelor's in CS or RelatedMaster's in CS or Related6+ Years Technical Engineering Experience8+ Years Technical Engineering Experience12+ Years Technical Engineering ExperienceEquivalent Experience

Full job description

You will own the design and development of distributed software systems that are reliable, scalable, and performant. You will work closely with other engineers, product managers, and cross-functional partners to deliver impactful features and improvements. You will write high-quality, maintainable, and testable code, and participate in code reviews to ensure best practices are followed. You will also help identify and resolve production issues, and continuously improve the performance and reliability of our systems. You will collaborate with stakeholders to understand requirements, translate them into technical specifications, and deliver solutions that meet business goals. You will be expected to take initiative, think proactively, and contribute to a culture of continuous improvement. You will design scalable APIs, data pipelines, and feature/signal stores that ensure efficient, secure, and reliable data flow between ML systems and product surfaces. You will drive live-site excellence: instrumentation, monitoring, capacity planning, and incident response for Backend services. You are passionate about embodying our culture and values. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis. Can design and create complex distributed systems workflows by gathering requirements from partner teams, identifying of dependencies, and driving alignment and design with partner and product teams, and finally leading the implementation of the solution. Demonstrable history of excellent analytical and problem-solving skills. Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications. Excellence in software engineering practices, coding and solid foundation in data structures, algorithms with demonstrated testing, debugging and analytical skills. Data-driven mindset. Ability to analyze data and persuade your team using effective analysis. Excellent learning, problem solving and communication skills.

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