Role Description
As a DevOps Engineer, you will play a key role in designing, building, and maintaining the scalable, reliable infrastructure that powers Sisenseβs AI-powered embedded analytics platform. You will work on cloud-native environments, CI/CD pipelines, automation, monitoring, and production stability β helping ensure our platform delivers high performance and developer experience at scale. This is a hands-on role with significant ownership and impact on both internal development velocity and customer-facing reliability.
Key Responsibilities
-
Design, implement, and maintain scalable infrastructure for our SaaS platform using modern cloud-native technologies.
-
Build and improve CI/CD pipelines, automation tools, and deployment processes to increase development velocity and reliability.
-
Own production environments: monitoring, troubleshooting, performance tuning, and incident response.
-
Work closely with development teams to support infrastructure needs for new features and services.
-
Research, evaluate, and introduce new tools and technologies to improve platform efficiency and observability.
-
Develop and maintain Infrastructure as Code (Terraform, Crossplane, Helm, Argocd, etc.).
-
Collaborate on improving observability, logging, and alerting across distributed systems.
-
Participate in a rotating on-call schedule to provide 24/7 coverage for incident response and production support.
Qualifications
-
4β6+ years of hands-on DevOps or SRE experience.
-
Strong proficiency with Kubernetes and cloud platforms (AWS, Azure, or GCP) AWS preferred.
-
Solid experience with Infrastructure as Code tools (Terraform, Crossplane, Terragrunt, Helm, Argocd).
-
Excellent Linux systems knowledge and scripting skills (Bash, Python, or Go preferred).
-
Experience building and maintaining CI/CD pipelines and automation frameworks (GitLab CI, GitHub Actions, and Jenkins).
-
Deep familiarity with monitoring tools (Fluentd, Fluent Bit, Prometheus and Grafana stack, OpenTelemetry).
-
Strong problem-solving and troubleshooting skills in high-scale production environments.
-
Good communication skills and ability to work effectively in a remote, distributed team.
-
Advanced English.
Nice to Have
-
Experience with Node.js / TypeScript environments.
-
Familiarity with multiple Linux distros (Ubuntu-Debian, RedHat, Oracle).
-
Background in data-intensive or analytics platforms.
-
Familiarity with OpenTelemetry, monitoring tools, or distributed tracing.
-
Experience supporting customer-facing SaaS platforms at scale.
Benefits
-
Competitive compensation.
-
Meaningful equity.
-
Opportunity to solve complex technical challenges in a fast-growing company.