Senior Software Engineer, Salesforce

• 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

Desirable

• 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
• 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