Appier

Software Engineer, Site Reliability Engineering

Remote Taipei, Taiwan
Cassandra PostgreSQL Docker Puppet Chef AWS GCP MongoDB Ansible MySQL
Description

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

 

About the role

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Appier's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Additionally SRE’s will keep an ever-watchful eye on our systems capacity and performance.

 

Much of our software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Appier, while using your expertise in coding, algorithms, complexity analysis and large-scale system design. This includes source code management, continuous integration, artifact packaging, continuous deployment, service traffic management, service registration and discovery, as well as holistic observability and the underlying compute runtime and container orchestration. A collection of platforms and capabilities which accelerate development velocity while protecting Appier’s production availability. We are looking for all levels of seniority in the space. This is a local hire position. 

 

Responsibilities 

  • Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.
  • Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
  • Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
  • Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
  • Practice sustainable incident response and blameless postmortems.
  • Participate in on-call rotation.(remote on-call)

 

About you

[Minimum qualifications]

  • Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
  • 2+ years of experience with software development in one or more programming languages.
  • 2+ years of experience with Linux system administration.
  • 1+ years of experience in designing, analyzing, and troubleshooting large-scale distributed systems, and 1+ years of experience leading projects and providing technical leadership.
  • Hands-on experience in planning and deploying services on production.

 

[Preferred qualifications]

  • Experience in architecting, developing, or maintaining production-grade cloud solutions in virtualized environments
  • Experience in deployment and orchestration technologies (such as Docker, Puppet, Chef, Salt, Ansible)
  • Experience in building and deploying automation and continuous integration systems
  • Experience in operating a big data systems related to data access, collection, processing and storage
  • Experience in operating and deploying online web services
  • Experience in operating services on IaaS such as AWS and GCP.
  • Experience in Database management (e.g.Database System Setup, Backup & Restore, System Tuning), MongoDB, Cassandra, MySQL, and PostgreSQL will be plus.
  • Security Knowledge such as setting up Firewall, proper security policy design, network attack defense.
  • Working knowledge of virtualization, hosted services, multi-tenant cloud infrastructures, storage systems and content delivery networks.

 

#LI-AK1

Appier
Appier
Analytics Artificial Intelligence (AI) Information Technology Machine Learning SaaS

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