DevOps Engineer
Join a security technology company building an AI-driven platform and supporting cloud infrastructure for extended detection and response products. Own DevOps work end to end across architecture, implementation, production rollout, and operational improvement.
Responsibilities
- Shape AWS-first cloud architecture for scalability, reliability, security, and long-term maintainability.
- Resolve large-scale production issues and improve service reliability, efficiency, availability, and observability.
- Collaborate with R&D, Security, Product, and other stakeholders on DevOps integration.
- Automate operations and development processes to reduce manual work and improve developer experience.
- Improve deployment practices, monitoring, infrastructure management, and operational maturity.
- Maintain secure, efficient, standards-aligned, and cost-effective infrastructure.
Requirements
- At least 4 years of relevant DevOps experience in large-scale production environments.
- Extensive experience with cloud computing, preferably AWS.
- Experience with monitoring and observability tools, especially Grafana.
- Proven experience with Infrastructure as Code tools such as Terraform.
- Experience with GitOps and CI/CD methodologies and tools.
- Production experience with Kubernetes or managed container services such as EKS, AKS, or ECS.
- Understanding of secure development lifecycles, cloud security, and infrastructure security.
- Ability to analyze problems independently, propose practical solutions, and deliver implementations end to end.
- Strong communication and cross-functional collaboration skills.
Nice to have
- Experience with both AWS and Azure.
- Experience with managed data services such as MongoDB Atlas, Azure Data Explorer, Cosmos DB, Amazon RDS, or Amazon Aurora.
- Experience managing, tuning, and optimizing PostgreSQL.
- Python scripting or development experience.