Systems Engineer
1 day ago
Job Title: Infrastructure Automation Engineer Streaming, APIs & Big Data
Overview:
Automate and maintain scalable, secure infrastructure for streaming services, APIs, and Big Data pipelines, ensuring 24/7 availability and proactive risk mitigation.
Key Responsibilities:
- Automate 100% of deployments and upgrades for Kafka, Spark, and FastAPI using Kubernetes and SaltStack
- Design containerized workflows using Docker and Kubernetes for zero-downtime updates
- Manage distributed storage systems (S3/MinIO) including monitoring, capacity planning, and data integrity
- Implement proactive alerts for CVEs and infrastructure metrics, with auto-remediation workflows
- Enforce security policies including RBAC, system hardening, SSL/TLS, and audit compliance
- Document infrastructure patterns such as "Scaling Kafka without data loss"
Technical Requirements:
- 5+ years in Linux/Unix automation and mission-critical systems
- 3+ years in Kubernetes, CI/CD, Infrastructure as Code (Salt/Terraform/Ansible), and monitoring tools (Prometheus/Grafana)
- Expertise in Kafka, S3/MinIO, and security tools like OpenVAS and auditd
- Strong focus on security: CVE patching within 72 hours, anomaly detection, and compliance
- Experience with AWS or GCP is a plus, especially when combined with on-premise infrastructure knowledge
Soft Skills:
- Proactive in anticipating scalability and security risks
- Detail-oriented in documenting configurations and risk assessments
- Collaborative mindset to work with developers on observability (logs and metrics)
Candidate Profile:
Ideal candidates come from enterprise environments with on-premise data centers or hybrid cloud architectures.
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