The Experience

Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.

What You'll Actually Be Doing

• Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms

• Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

• Using and contributing to open source technology

• Developing Infrastructure-as-Code

• Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos

• Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

• Balancing live-site management, feature delivery, and retirement of technical debt

• Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available

You're Our Person If You Have:

• Minimum of 5+ years of backend software development experience (Python) working with Cloud Architecture

• In-depth, hands-on experience with Linux Systems Administration and Troubleshooting, servers, and Cloud architecture. Good knowledge of Linux internals.

• Proven professional work experience with Python. In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrency.

• Public cloud engineering on GCP, AWS, and or Azure platforms. Cloud provisioning, infrastructure, and migration at cloud scale.

• Use of AI assisted development tools to automate DNS and infrastructure management.

• Solid understanding of configuring, deploying, managing, and maintaining large cloud-hosted systems.

• Experience with container and orchestration systems like Kubernetes, Docker, etc.

• Experience with infrastructure automation tools like Splunk, Puppet, Spinnaker, Terraform, git, etc.

• Strong understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP, Switches, Routers.

• CI/CD experience with tools like Jenkins, and Travis CI.

• Implementation experience of large infrastructure projects.

• A continuous learner, a critical thinker, and a team player with excellent communication skills.

• Embrace a culture and work environment that promotes diversity and inclusion.

• Configuration management with open-source tools, ideally Puppet, Chef, Salt, or Ansible.

• Experience maintaining monitoring platforms like Grafana.

• Experience with Agile development methodology and Test Driven Development

Even Better If You Have:

• Experience using AWS Route 53.

• Working in high-availability, 24x7x365 large-scale multi-datacenter environment

• Highly skilled in packet analysis, network analysis tools, troubleshooting, and analytical fault diagnosis.

• Security hardening of network infrastructure, such as DNSSEC