Software Engineering, Salesforce

• 5+ years of experience in software engineering using Python, Go, or Java to build scalable, production-grade systems
• Strong understanding of software design principles such as modularity, separation of concerns, fault tolerance, and scalability
• Experience with writing and maintaining test suites, including unit, integration, and end-to-end tests
• Proficient in using Git and working within collaborative version control workflows
• Familiarity with CI/CD systems and deployment automation best practices
• Experience with API development using RESTful or gRPC standards
• Participation in Agile development processes such as Scrum or Kanban
• Experience conducting code reviews and a solid commitment to clean, maintainable code
• Infrastructure & Systems Skills
• Hands-on experience operating and scaling distributed systems in a cloud environment (AWS, GCP, or Azure)
• Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi)
• Experience with Docker and Kubernetes in production environments
• Solid understanding of Linux/Unix systems and strong troubleshooting skills
• Familiarity with monitoring and observability tools such as Prometheus, Grafana, Datadog, or Splunk
• Understanding of key Internet protocols (TCP/IP, DNS, HTTP/S, TLS)
• Exposure to SRE practices including SLIs, SLOs, incident response, and postmortems

Desirable

• We’re looking for a Senior Software Engineer to help design, build, and scale the next generation of our distributed systems
• As part of a high-impact engineering team, you will work on improving the performance, reliability, and automation of our cloud-native platforms and services
• This is a great opportunity to solve complex engineering challenges while contributing to mission-critical systems at scale
• Design, build, and maintain scalable backend systems and cloud-based services
• Write clean, testable, and efficient code following engineering best practices
• Develop automation and tooling to reduce manual effort and improve system reliability
• Enhance observability through monitoring, logging, and distributed tracing
• Support integration of AI-driven automation and observability platforms
• Work closely with product and infrastructure teams to ship features and improvements iteratively in Agile teams
• Contribute to CI/CD pipeline improvements to streamline delivery and deployment
• Collaborate with cross-functional teams to define and track SLIs/SLOs and support service reliability
• Participate in incident response, root cause analysis, and long-term remediation