Role Description 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. Qualifications - 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, 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.

• Own reliability and operability of 1 to 2 production services, including services on the money path. • Design and maintain CI/CD pipelines that enable frequent, safe deployments. • Define and improve observability across metrics, logs, and alerts. • Participate in on call rotations and lead incident response when needed. • Identify and reduce operational risk by improving resilience and failure handling. • Automate repetitive operational workflows such as deployments, rollbacks, and recovery steps. • Partner with Backend, Security, and Infra teams to translate system requirements into infrastructure solutions • Improve reliability metrics such as availability, MTTR, alert quality, and incident frequency.

• Own the full lifecycle of our Azure production environment and provide expert support to our development teams. • Design and maintain production-grade Azure infrastructure using Bicep, ensuring all resources from networking to application services are managed as code. • Implement and manage Azure API Management (APIM), Azure App Gateway, and Azure Front Door to ensure secure, scalable, and high-performance application delivery. • Deploy and operate containerized workloads on Azure Kubernetes Service (AKS), including cluster optimization, Helm chart management, and advanced networking configurations. • Support and manage Azure Event Hubs with Kafka protocol support for real-time data streaming and event-driven microservices. • Develop end-to-end YAML pipelines in Azure DevOps for automated provisioning and application deployment, integrating gates and automated testing. • Own the reliability of the Azure environment by monitoring health via Azure Monitor and Application Insights, leading incident response, and performing Root Cause Analysis (RCA). • Enforce Azure Security services, including Entra ID (Azure AD) RBAC, Managed Identities, Azure Key Vault for secrets, and Azure Policy for governance and compliance. • Collaborate with developers to integrate code into pipelines, manage Git branching strategies, and provide mentorship on cloud-native best practices.

Maintain system reliability and performance for healthcare imaging platforms by monitoring infrastructure, optimizing SQL database performance, and leading deployment rollouts, ensuring high availability and proactive incident management.