DevOps Engineer
<p><strong>About Sisense</strong></p>
<p>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.</p>
<p>With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.</p>
<p><strong>The Role</strong></p>
<p>As a <strong>DevOps Engineer</strong>, 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.</p>
<p>This is a hands-on role with significant ownership and impact on both internal development velocity and customer-facing reliability.</p>
<p><strong>Key Responsibilities</strong></p>
<ul>
<li>Design, implement, and maintain scalable infrastructure for our SaaS platform using modern cloud-native technologies.</li>
<li>Build and improve CI/CD pipelines, automation tools, and deployment processes to increase development velocity and reliability.</li>
<li>Own production environments: monitoring, troubleshooting, performance tuning, and incident response.</li>
<li>Work closely with development teams to support infrastructure needs for new features and services.</li>
<li>Research, evaluate, and introduce new tools and technologies to improve platform efficiency and observability.</li>
<li>Develop and maintain Infrastructure as Code (Terraform, Crossplane, Helm, Argocd, etc.).</li>
<li>Collaborate on improving observability, logging, and alerting across distributed systems.</li>
<li>Participate in a <strong>rotating on-call schedule</strong> to provide 24/7 coverage for incident response and production support.</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>4–6+ years of hands-on DevOps or SRE experience.</li>
<li>Strong proficiency with Kubernetes and cloud platforms (AWS, Azure, or GCP) AWS preferred.</li>
<li>Solid experience with Infrastructure as Code tools (Terraform /crossplane / Terragrunt, Helm, argocd).</li>
<li>Excellent Linux systems knowledge and scripting skills (Bash, Python, or Go preferred).</li>
<li>Experience building and maintaining CI/CD pipelines and automation frameworks (gitlab-ci ,github-actions and jenkins).</li>
<li>Deep familiarity with monitoring tools (fluentd , fluent-bit, promethus and grafana stack , opentelemetry )</li>
<li>Strong problem-solving and troubleshooting skills in high-scale production environments.</li>
<li>Good communication skills and ability to work effectively in a remote, distributed team.</li>
<li>Advanced English.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Experience with Node.js / TypeScript environments.</li>
<li>Familiarity with multiple linux distros (ubuntu-debian , redhat , oracle)</li>
<li>Background in data-intensive or analytics platforms.</li>
<li>Familiarity with OpenTelemetry, monitoring tools, or distributed tracing.</li>
<li>Experience supporting customer-facing SaaS platforms at scale.</li>
</ul>
<p><strong>Why Join Sisense</strong></p>
<p>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.</p>
<p>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.</p>
This listing is from ats_greenhouse. View original listing ↗