Senior DevOps Engineer
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 11, 2026. ZoomInfo scores B on the Alion truth index.
Join our team as a Senior DevOps Engineer, where you will drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure. You will deploy and manage services on Kubernetes-based platforms, provision and manage cloud infrastructure using Terraform, and maintain and optimize CI/CD pipelines. Additionally, you will work with cloud-native data services, develop automation scripts, monitor system performance, and implement SRE practices. This role offers competitive compensation, bonuses, equity, flexible paid time off, and a hybrid working model.
Missions
- Drive initiatives to implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure.
- Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
- Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
Profil recherché
- Hands-on experience with Infrastructure-as-Code (IaC) using Terraform- Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams
- Programming skills in Python for automation and scripting
- Ability to work collaboratively in an agile environment and support multiple teams
- Experience with cost optimization strategies for cloud infrastructure
- 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role
- Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow
- Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions
- Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments
- Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering
- Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch)
- Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery)
- Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer
- Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ)
- Experience with GitOps workflows and Kubernetes-native tooling
- Knowledge of service mesh technologies like Istio