posted Jun 13

Senior Software Engineer I

AWS Azure Cloud Distributed Systems Docker Google Cloud Platform Kubernetes Microservices Open Source Prometheus Python SQL Go senior

Job Location: Bay Area, California

Salary: $215,500 - $225,000 a year

Job Description

• Design and implement extremely high-volume, fault-tolerant, scalable backend systems that process and manage petabytes of customer data. • Write robust code and demonstrate robustness through automated testing. Work as a member of a team, helping the team respond quickly and effectively to business needs. • Assist with performance measurements, testing, documentation, and resolution of escalated customer issues. • Maintain and improve the usability, efficiency, scalability, and reliability of data ingestion systems including: 1) the software deployed on the client machines which collects and sends logs and metrics data to the backend services; 2) microservices which are responsible to receive and process logs and metrics data; 3) microservices which are responsible to fetch data from third party SaaS services like AWS, GCP, Azure, etc.; 4) backends which allow users to make data ingestion configuration; 5) open source solutions that collect data from Kubernetes and standalone environments.

Qualifications

• Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, or related IT field and five (5) years of post-baccalaureate, progressive experience as a Software Engineer or in a related role. In lieu of a bachelor’s degree and five (5) years of experience, will accept a Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Information Technology, or related IT field and three (3) years of experience as a Software Engineer or in a related role.• Work experience with: • Algorithm development and implementation; • Implementing client/server systems for huge data throughput with high performance, scalability and reliability requirements; • Distributed systems and networking; • Cloud architecture such as AWS, GCP, or Azure; • Object-oriented design and development; • Databases including SQL and No-SQL; • Software performance optimization techniques; • Linux as development environments; • Programming languages: Go, Python; • Container technologies: Docker and Kubernetes; and, • Open Source Observability Tools: Prometheus, Open Telemetry.

Benefits

• Telecommuting is permitted.

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