Stripe4 дня назад

Senior Software Engineer

18 432–23 800 ₽в месяц · до вычета

РЫНОК

15 167 ₽медиана по профессии

Cloud Engineer · 40 вакансий с указанной зарплатой

5 233половина предложений: 9 708–18 66472 708

В рынке · выше 75% предложений

South San Francisco

Обязанности

01Design, build, and maintain high-scale, distributed systems to work with the company
02Work within a team to build the core networking solutions, which include load balancing, mTLS networking, fleet health & observability used by product teams to build and operate microservices supporting the company’s business
03Build a great customer experience for internal company teams using Infra and play a key role in enabling the company’s Infra to power all of the company’s products globally and at scale
04Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering, velocity, and cost
05Innovate, design, and implement software solutions that contribute towards improvement and resiliency, reliability, efficiency, and management at scale
06Contribute to team strategy, roadmap, tooling, process, and culture
07Set clear goals and provide regular feedback on team member performance

01Must have a Bachelor's Degree or foreign equivalent degree in Computer Science, or a related field, plus five (5) years of post-bachelor's progressive work experience in software engineering
02In the alternative, the employer is willing to accept a Master's Degree or foreign equivalent in Computer Science, or a related field, plus three (3) years of experience in Software Engineering
03Must also have three (3) years of experience in software development including in Cloud systems, AWS, Azure, GCP, and OCI
04Creating technical architecture and design
05Building an operating infrastructure and tools that empower developers
06Developing software using Java and GO
07Developing, maintaining and debugging distributed systems built with open source tools
08Breaking down large, complex systems, identifying shortcomings and optimization opportunities, and making data drive cost performance tradeoffs to influence design decisions
09Utilizing systems and tools including: Kubernetes, EC2, Envoy, Linux, and Puppet