We are looking for a talented and motivated DevOps Engineer to join our Cloud Engineering team. Youll play a key role in developing, maintaining, and scaling our SaaS product across AWS, Azure, and GCP. This includes managing our deployment packages (Terraform, CloudFormation, Azure Bicep), ensuring seamless integrations with customer environments, and enabling secure, reliable data scanning at scale.
As part of our DevOps team, youll not only drive automation and infrastructure management, but also participate in customer-facing installation meetings, helping customers deploy and configure our platform successfully.
Responsibilities:
Design, develop, and maintain cloud infrastructure on AWS, Azure, and GCP.
Manage Infrastructure as Code using Terraform, CloudFormation, and Azure Bicep.
Build, scale, and maintain Kubernetes clusters and containerized applications.
Implement automation for deployment, monitoring, and incident response.
Write and maintain Python and Bash scripts for automation, integrations, and tooling.
Troubleshoot networking, connectivity, and security issues (TCP/IP, UDP, VPNs).
Collaborate with engineering and product teams to optimize deployments.
Support customer onboarding by assisting with setup and deployment meetings.
Continuously improve CI/CD pipelines and operational processes.
Requirements: Requirements:
35+ years of experience in DevOps, Cloud Engineering, or related roles.
Hands-on expertise with at least two major cloud providers (AWS, Azure, GCP; experience with all three is a plus).
Strong programming skills in Python and Bash (automation, tooling, scripts).
Proficiency in Linux systems administration.
Strong experience with Kubernetes, Docker, and container orchestration.
Deep understanding of networking fundamentals (TCP/IP, UDP, DNS, VPNs, routing, firewalls).
Experience with IaC tools: Terraform, CloudFormation, Azure Bicep.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar).
Excellent problem-solving and troubleshooting skills.
Excellent communication skills, with the ability to work directly with customers.
Observability stack experience (Datadog, Prometheus, Grafana, ELK, etc.).
Nice to Have:
Experience in SaaS environments or multi-cloud deployments.
Security best practices and compliance knowledge (IAM, RBAC, data protection).
This position is open to all candidates.