Key skills
PythonAIMLLLMKafkaFastAPIAWSTerraformKubernetesEKSKinesisPostgreSQLPrometheusGrafanaOpenAPIRESTfulGitEvent StreamingAgileCI/CDMentoringCommunication
About this role
Dice is a recruiting company seeking a Senior Platform Software Engineer to design, develop, and maintain scalable backend platform services in AWS. The role involves building and supporting distributed microservices using Python and collaborating with engineering teams to deliver cloud-native solutions.
Responsibilities:
- Design, develop, and maintain scalable backend platform services in AWS
- Build and support distributed microservices using Python
- Develop and optimize RESTful APIs and event-driven architectures
- Collaborate with engineering teams to deliver highly available cloud-native solutions
- Improve application performance, scalability, reliability, and operational efficiency
- Participate in architecture discussions and technical design reviews
- Implement and maintain CI/CD pipelines and deployment automation
- Monitor system performance and troubleshoot production issues
- Contribute to best practices for software development, testing, and cloud operations
Requirements:
- 5+ years of software engineering experience (7+ preferred)
- Strong Python development experience
- Deep experience with AWS cloud services
- Experience building distributed microservices and cloud-native applications
- Experience with Kubernetes (EKS) and/or containerized environments
- Experience with Kafka, Kinesis, or similar messaging/event streaming platforms
- Experience with PostgreSQL or other relational databases
- Experience with Git-based development workflows and CI/CD pipelines
- Strong Linux/Unix background
- Excellent problem-solving and communication skills
- Experience with Terraform or Infrastructure as Code
- Experience with Prometheus, Grafana, or observability platforms
- Experience with OpenAPI and API-driven architectures
- Experience with Agile software development methodologies
- Experience mentoring engineers or leading technical initiatives
- Experience with AI/ML platforms or LLM-based applications
- Experience with FastAPI or modern Python frameworks
- Experience with IoT, telemetry, or connected device platforms
- Experience with cloud cost optimization and performance tuning