Senior DevOps Engineer
Core
Drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure.
Role type
Senior DevOps Engineer (Cloud & Data Infrastructure)
Builds
Cloud-native data services, CI/CD pipelines, and automated infrastructure on AWS and GCP
Domain
Cloud Infrastructure, Data Engineering, SRE
Deliverable
production ML models | infrastructure
Required skills
Kubernetes (EKS/GKE), Terraform, CI/CD (Jenkins, ArgoCD, GitHub Actions), Python, AWS/GCP data services (Kinesis, Glue, Pub/Sub, Dataflow), Observability (Prometheus, Grafana, Datadog, CloudWatch), SRE principles, Cost optimization
Preferred skills
Data lake architectures, Big data processing (Spark, Flink, Snowflake), Event-driven architectures (Kafka, RabbitMQ), Workflow orchestration (Airflow, Cloud Composer), Service mesh (Istio), GitOps
Technologies
Kubernetes, Terraform, Jenkins, ArgoCD, GitHub Enterprise Actions, AWS, GCP, Python, Prometheus, Grafana, Datadog, CloudWatch, Apache Airflow, Google Cloud Composer, Apache Spark, Flink, Snowflake, BigQuery, Kafka, RabbitMQ, Istio
Responsibilities
Deploy and manage services on Kubernetes-based platforms; Provision and manage cloud infrastructure using Terraform; Maintain and optimize CI/CD pipelines; Develop and maintain automation scripts using Python; Monitor system performance and troubleshoot issues; Implement SRE practices; Analyze and optimize cloud costs; Ensure compliance with security policies; Drive adoption of company standards; Collaborate with cross-functional teams
Seniority
Senior, hands-on IC
