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Cloud Native Software Developer
2 weeks ago
We are seeking a seasoned software developer to design, build and scale our next generation of distributed systems. As part of a high-impact team you will work on enhancing the performance, reliability and automation of our cloud-native platforms and services.
- Develop scalable backend systems and cloud-based services with clean, testable and efficient code following best practices.
- Design and implement 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 deliver 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.
- 5+ years of experience in software development using Python, Go or Java to build scalable production-grade systems.
- Demonstrated experience in developing and deploying production-grade software applications or services.
- 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).
- Strong experience with AWS or GCP and services like EC2 VPC IAM S3 EKS.
- Expertise in Kubernetes and modern container orchestration.
- 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.
- Experience working in compliance-sensitive global or multi-tenant environments.
- Exposure to chaos engineering fault injection or performance/load testing tools.
- Experience with AI/ML platforms agents or intelligent observability systems.
- A data-driven mindset for identifying systemic issues and driving reliability improvements.
- Strong written and verbal communication skills with an emphasis on documentation and collaboration.
