Designs and maintains CI/CD pipelines, infrastructure-as-code templates, deployment tooling, and DevSecOps controls for cloud, on-premises, and hybrid customer environments. Automates provisioning, upgrades, patching, monitoring, and operational reporting while supporting Systems Engineering and collaborating with SRE. The role also tracks deployment metrics, remediates pipeline failures and configuration drift, supports change management, documents processes, and contributes to agentic workflow automation.
Be at the Forefront of the Agentic AI Revolution
At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.
Why Skan AI
We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.
Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.
Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.
ROLE SUMMARY
The DevOps Engineer designs, builds, and maintains the CI/CD pipelines, deployment tooling, and infrastructure automation that power Skan's customer delivery operations. Working within the Customer Ops team, this role is the engineering engine behind deployment velocity — ensuring that customer environments are provisioned, upgraded, and maintained reliably, securely, and at pace.
This role sits at the intersection of software engineering and infrastructure operations. The DevOps Engineer is responsible for making deployment a repeatable, automated, and quality-assured activity — eliminating manual overhead, enforcing DevSecOps standards, and giving the wider Customer Ops and Systems Engineering teams the tooling they need to operate efficiently at scale.
WHY THIS ROLE EXISTS
As Skan's enterprise customer base grows, so does the complexity of managing deployments across cloud-hosted, customer-hosted, and hybrid environments. Without dedicated DevOps engineering, deployment activities are manual, inconsistent, and slow — creating delivery risk, increasing the chance of environment-related incidents, and preventing the Customer Ops team from scaling without linear headcount growth.
The DevOps Engineer provides the automation and tooling layer that makes Skan's customer delivery operations scalable, auditable, and professionally run — directly supporting SLA commitments, deployment quality, and time-to-value for enterprise clients.
KEY RESPONSIBILITIES
- Design, build, and maintain CI/CD pipelines for customer environment deployments, upgrades, and patch cycles — covering cloud-hosted and customer-hosted models
- Automate infrastructure provisioning and configuration management using Infrastructure-as-Code tooling (Terraform, Helm, Ansible)
- Implement and enforce DevSecOps practices across all product and client deployment pipelines — including security scanning, secrets management, and policy-as-code controls
- Develop and maintain deployment tooling, scripts, and environment templates that reduce manual effort and improve deployment consistency
- Support Systems Engineers during new customer environment builds, patch cycles, and major upgrades — providing tooling, automation, and hands-on assistance
- Build and maintain ops process tooling: SLA tracking dashboards, deployment status portals, environment health monitors, and internal reporting utilities
- Maintain deployment metrics and reporting — pipeline success rate, deployment frequency, lead time, and change failure rate — to inform continuous improvement
- Identify and remediate deployment bottlenecks, pipeline failures, and infrastructure configuration drift across customer environments
- Collaborate with the SRE team to align infrastructure design with operational monitoring and incident response requirements
- Participate in change management processes — ensuring all production environment changes are logged, reviewed, and reversible
- Contribute to the Automation Engineering team's agentic workflow initiatives — developing automation that further reduces operational toil
- Maintain clear, up-to-date documentation for all pipelines, playbooks, and environment configurations
KEY DELIVERABLES
- CI/CD pipeline designs and live implementations for all customer deployment models — cloud, on-prem, and hybrid
- Infrastructure-as-Code templates and reusable deployment playbooks — maintained, versioned, and documented
- DevSecOps controls documentation and compliance evidence for all customer-facing pipelines
- Automated environment provisioning and teardown scripts — reducing manual setup time per new customer deployment
- Deployment metrics dashboard: pipeline success rate, deployment frequency, lead time, and change failure rate — reported monthly
- Ops tooling: SLA trackers, status portals, and environment health dashboards operational and actively used by Customer Ops teams
- Target: pipeline success rate ≥ 95%; zero unplanned production outages attributable to deployment tooling failures
Skan AI is an equal opportunity employer committed to building a diverse, inclusive, and respectful workplace around the world. We do not discriminate based on race, color, religion or belief, sex (including pregnancy, sexual orientation, gender identity, or gender expression), national origin, ancestry, age, disability, medical condition, genetic information, marital or family status, military or veteran status, or any other characteristic protected by applicable laws in the locations where we operate.
We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.
Similar Jobs
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Design, build, and deploy event-driven automations to eliminate operational runbook toil. Operate and support production databases and streaming platforms, participate in on-call rotation, implement least-privilege IAM and auditability, and lead automation roadmap across data infrastructure.
Top Skills:
AlertmanagerApache AirflowAws CloudtrailAws CloudwatchAws EventbridgeAws IamAws LambdaClaudeCursorDynamoDBElasticsearchGithub ActionsGitopsJavaScriptJenkinsKafkaKubernetesMySQLPostgresPrometheusPythonRedisTerraformTypescript
Cloud • Security • Software • Cybersecurity
Operate and improve production data infrastructure across large-scale distributed cloud systems. Monitor performance, manage alerts, respond to incidents, perform root cause analysis, automate repetitive tasks, support CI/CD pipelines, document runbooks, and assist with capacity planning. The role requires participation in an on-call rotation and collaboration with Engineering to maintain reliability, efficiency, and uptime.
Top Skills:
AWSCi/CdDnsDockerGCPGithub ActionsGrafanaGrpcHTTPKubernetesLinux/UnixPrometheusPythonTcp/IpTerraform
Artificial Intelligence • Information Technology • Software • Analytics
Owns the design, deployment, reliability, security, and continuous improvement of a scalable AWS cloud platform supporting analytics, AI, and enterprise applications. Responsibilities include infrastructure automation with Terraform and CloudFormation, CI/CD pipelines, Docker and serverless workloads, observability, incident troubleshooting, security hardening, compliance controls, and collaboration with development, AI engineering, and business teams.
Top Skills:
Akamai NonameAmazon Api GatewayAmazon CloudwatchAmazon Ec2Amazon RedshiftAmazon S3Amazon SnsAmazon SqsAWSAws LambdaAws Secrets ManagerBashCloudFormationDockerDynamoDBFastapiFlaskGithub ActionsJavaJavaScriptMicroservicesMySQLNew RelicNode.jsPrisma CloudPythonReact NativeRestful ApisScalaSonarqubeTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
