Senior Platform Engineer
A cybersecurity company is seeking a Senior Platform Engineer to own and evolve the cloud infrastructure behind a real-time, AI-driven security platform. The role combines hands-on software development with platform reliability, security, scalability, and deployment improvements.
Responsibilities
- Own and evolve cloud infrastructure for a real-time, AI-driven security platform.
- Build platform features and capabilities through hands-on coding.
- Design and manage Kubernetes container orchestration for reliable, scalable services.
- Write and maintain Infrastructure as Code.
- Implement and own logging, metrics, alerting, and tracing across AI pipelines and real-time workflows.
- Manage secrets, IAM policies, and network security controls.
- Partner with backend, frontend, and security teams to ship features, improve deployment workflows, and increase system resilience.
Requirements
- At least 5 years of DevOps or Platform Engineering experience in production cloud environments.
- Strong coding skills and experience building software, tools, and platform capabilities.
- Hands-on AWS experience, including EKS, IAM, ELB, S3, Bedrock, and related services.
- Strong Kubernetes experience deploying and managing containerized workloads at scale.
- Experience building and maintaining CI/CD pipelines with GitHub Actions or similar tools.
- Experience with observability tools such as Prometheus, Grafana, or CloudWatch.
- Practical experience with secrets management, IAM, and network security best practices.
- Strong communication and collaboration skills across technical teams.
Nice to have
- Experience with GCP or Azure.
- Hands-on GitOps experience, including ArgoCD.
- Experience with message queue infrastructure such as RabbitMQ, Kafka/MSK, or AWS SQS.
- Experience with large language models and generative AI workflows.
- Experience in an early-stage, high-growth startup.
- Bachelor’s degree in Computer Science or a related technical field.