Top Tech Jobs & Startup Jobs

Building a platform for engineers to understand, scale, and protect systems, applications, and teams. Responsibilities include solving scaling bottlenecks, deploying new features, investigating and fixing production issues, designing for scalability, and planning projects. Company values include pragmatism, honesty, and simplicity. Offering benefits such as stock equity, professional development, mentor programs, and mental health benefits.

Build fault-tolerant, horizontally scalable solutions in multi-tenant environments using Go, Java, Rust, or C++. Utilize Kafka, Redis, Cassandra, Elasticsearch, and other open-source components. Own meaningful parts of the service and contribute to company growth.

Ensure high-volume, low-latency environments continue to perform around the clock, collaborate with product engineers, shape infrastructure of data-intensive, real-time services, and maintain infrastructure to support customers.

Building and operating query execution engines, working on query planning, cost-based optimization, and writing operators. Dive deep into query language design and syntax to build new features. Building fault-tolerant, scalable solutions. Writing code in Go, Java Rust, or C++. Owning meaningful parts of the service and having an impact on the company.

Design, implement, and run a platform for data storage at a high-growth startup environment. Build fault-tolerant, scalable solutions in multi-tenant environments using languages like Go, Java, Rust, or C++. Engage with customers, design generalizable solutions, and contribute to improving systems.

Responsible for ensuring the reliability and efficiency of high-volume, low-latency environments at petabyte scale. Collaborate with product engineers to maintain data-intensive, real-time services. Design and maintain infrastructure for supporting a growing customer base. Handle infrastructure with code and have experience with distributed compute/storage tools.

The Senior Software Engineer - Site Reliability at Datadog is responsible for ensuring the reliability, availability, and efficiency of high-volume, low-latency environments. This role involves responding to and fixing service issues, building tools for the engineering team, and designing infrastructure to support scalability. The ideal candidate has 5+ years of software engineering experience, values correctness and efficiency, and has production experience with distributed compute/storage tools like Kubernetes, Cassandra, Postgres, Kafka, Elasticsearch, and Redis.