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Cloud Software Engineer - Observability Platform Jobs

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Senior Software Engineer, Cloud Platform
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Join Chef Robotics as a Senior Software Engineer for the Cloud Platform. Design and maintain scalable cloud infrastructure using AWS/GCP/Azure, Docker, and Kubernetes to power real-time robotics operations. This San Francisco-based role requires 5+ years of cloud/DevOps expertise and offers equit...
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United States , San Francisco
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150000.00 - 240000.00 USD / Year
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Chef Robotics
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Until further notice
Sr. Software Engineer II - Cloud Platform
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Join Confluent as a Senior Software Engineer II for the Cloud Platform. You will design and evolve core infrastructure services in Go, leveraging Kubernetes and major public clouds. This remote-first role requires deep systems expertise and a passion for automation, reliability, and large-scale o...
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Not provided
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Confluent
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Until further notice
Explore Cloud Software Engineer - Observability Platform jobs and launch your career at the intersection of cloud computing and system intelligence. Professionals in this specialized field are the architects of visibility, building and maintaining the sophisticated platforms that allow organizations to understand the health, performance, and behavior of their complex, distributed cloud systems. This role is critical in the modern software landscape, where microservices, containers, and serverless functions demand a holistic view of system operations. By developing robust observability tools, these engineers empower teams to proactively detect issues, optimize performance, and ensure reliability at scale. A Cloud Software Engineer focused on Observability typically designs, develops, and integrates the core pillars of observability: logging, metrics, and tracing. Common responsibilities include architecting scalable data ingestion pipelines to collect telemetry from thousands of services, designing and implementing storage solutions for time-series and log data, and creating intuitive visualization dashboards and alerting systems. They build the internal tools and frameworks that other engineering teams use to instrument their applications, ensuring consistent and comprehensive data collection. A key part of the role involves optimizing the observability platform itself for cost-efficiency, query performance, and high availability, as it becomes a mission-critical component of the infrastructure. Typical skills and requirements for these jobs are both deep and broad. A strong foundation in cloud platforms like AWS, GCP, or Azure is essential, alongside proficiency in programming languages such as Go, Java, Python, or Rust. Expertise in containerization (Docker) and orchestration (Kubernetes) is standard, as modern applications are built on these technologies. Engineers must understand distributed systems concepts, data streaming technologies, and large-scale data storage solutions. A firm grasp of software engineering best practices, including CI/CD, infrastructure as code, and automated testing, is expected. Crucially, candidates should possess a mindset geared towards reliability, data-driven problem-solving, and a passion for creating systems that provide clarity from complexity. For those who enjoy solving large-scale data challenges and enabling operational excellence, Cloud Software Engineer - Observability Platform jobs offer a impactful and rewarding career path building the nervous system of the cloud.

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