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Senior Platform Software Engineer
2 weeks ago
Requirements:
- 5+ years of experience as a software engineer with a focus on backend systems and platform engineering, including at least 2 years in DevOps and 2 years in development.
- Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
- Strong understanding of containerization and orchestration (Docker, Kubernetes).
- Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
- Experience working on ML platforms or supporting ML workloads in production.
- Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
- Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
- Experience with providing technical support of custom-developed systems to customers.
Responsibilities:
- Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to quickly execute.
- Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
- Collaborate with Field Engineering teams to support PoCs, and Platform deployments in customer Cloud VPCs and on-prem.
- Deploy, scale, and optimize ML/NLP workloads, especially model inference.
- Lead initiatives to improve system reliability, scalability, and developer experience.
- Contribute to architecture and infrastructure decisions as we scale our platform.
- Champion best practices in code quality, testing, and DevOps culture across the team.
- Design, implement, and maintain scalable and secure backend services and platform components.