תיאור המשרה
About Sisense
Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.
With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.
The Role
As a DevOps Engineer, you will play a key role in designing, building, and maintaining the scalable, reliable infrastructure that powers Sisense’s AI-powered embedded analytics platform. You will work on cloud-native environments, CI/CD pipelines, automation, monitoring, and production stability — 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.
Requirements
4–6+ 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, promethus 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.
Why Join Sisense
This is a high-impact role where you’ll work on the infrastructure behind cutting-edge embedded AI analytics. You’ll join a talented global engineering team, enjoy competitive compensation, meaningful equity, and the opportunity to solve complex technical challenges in a fast-growing company.
If you’re a strong DevOps Engineer who loves building reliable, scalable systems and wants to work on AI-powered data solutions, we’d love to hear from you.
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