Origami Risk

Project Manager

• Drive all aspects of client implementation projects from inception to deployment
• Support RMIS, GRC, EHS, and/or Healthcare products
• Work cross-functionally to complete projects on time and on budget
• Interface with client stakeholders, internal Origami teams, and outsourced vendors
• Create and maintain artifacts in the standard Origami PM toolkit
• Identify and manage potential scope creep and out-of-scope work
• Coordinate with the Project Sponsor to ensure necessary resources are allocated
• Work with the Technical Consultant to assign deliverables to team members
• Maintain implementation-related data in Salesforce
• Coordinate and schedule internal and external meetings
• Prepare and present client and project status reports, including implementation status and executive steering committee reports
• Identify potential expanded sales opportunities and coordinate with the account management team
• Support presentation and negotiation of pricing and Statements of Work for change orders and expanded scope

Senior Project Manager

Artificial Intelligence

• Create and maintain AI governance policies, standards, and frameworks aligned with regulatory requirements
• Identify potential organizational risks and evaluate their severity and likelihood
• Conduct AI model risk assessments covering bias, explainability, data quality, and security
• Monitor third-party AI tools and manage vendor risk
• Support internal and external audits related to AI systems
• Coordinate with Legal, Privacy, Security, and Technology teams
• Build organizational awareness of AI governance requirements
• Support teams in implementing compliant AI practices
• Lead risk assessments and controls design
• Utilize AI/ML knowledge to support governance activities
• Ensure compliance with regulatory requirements

AI Governance Analyst

Support Engineer

• Own client support cases from intake through resolution according to assigned scope, service level objectives, and procedures
• Conduct structured troubleshooting by gathering context, analyzing data, and validating hypotheses
• Resolve issues within scope and escalate cases requiring additional expertise with complete documentation and supporting data
• Provide timely updates to clients on active outage cases based on Tier 2 information
• Serve as a client-facing point of contact and communicate through video calls and case messaging
• Explain technical concepts, actions taken, and outcomes in audience-appropriate language
• Manage expectations regarding timelines, next steps, and resolution paths
• Apply knowledge of the Origami platform, configurations, data models, and integrations to diagnose issues
• Use SQL or equivalent query tools to investigate data-related issues
• Use scripting or markup languages such as JavaScript and XML for troubleshooting
• Perform basic platform configuration, including user/role changes, simple form edits, and minor SQL adjustments
• Partner with Technical Account Management and Client Success
• Produce case documentation, knowledge resources, troubleshooting guides, and runbooks
• Identify recurring issues, trends, and gaps and share insights with Support Leadership and partner teams
• Participate in post-incident reviews and continuous improvement
• Record hours worked according to Origami’s time entry policy
• Client Support Analysts primarily handle Tier 1 support, first-contact resolution, how-to questions, standard configuration issues, and known product behavior
• Client Support Engineers handle more complex Tier 1 cases, may serve as informal Team Leads, and/or work on Tier 2 teams with deeper investigation

Client Support Analyst – Engineer

Data Engineer

• Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps
• Build APIs and file-upload mechanisms for client data ingestion
• Develop data mapping and transformation workflows for loading into SQL Server client databases
• Contribute to a Databricks-based data Lakehouse architecture
• Enable data flow from the SaaS platform to the analytical platform
• Optimize ETL/ELT processes for performance and reliability
• Collaborate with analytics teams to ensure data availability and quality for reporting and machine learning
• Provide operational support for ingestion processes integrated into C# .NET code and UI
• Troubleshoot and resolve data pipeline issues across environments
• Work with Software Engineers, Architects, and Product teams to align data solutions with business needs
• Implement data governance, security, and compliance best practices in a multi-tenant environment
• Document architecture, workflows, and operational procedures

Senior Data Engineer

• Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps
• Build APIs and file-upload mechanisms for client data ingestion
• Develop data mapping and transformation workflows for SQL Server client databases
• Contribute to a Databricks-based data Lakehouse architecture
• Enable data flow from the SaaS platform to the analytical platform
• Optimize ETL/ELT processes for performance and reliability
• Collaborate with analytics teams to ensure data availability and quality for reporting and machine learning
• Provide operational support for ingestion processes integrated into C# .NET code and UI
• Troubleshoot and resolve data-pipeline issues across environments
• Work with Software Engineers, Architects, and Product teams to align data solutions with business needs
• Implement data governance, security, and compliance best practices in a multi-tenant environment
• Document architecture, workflows, and operational procedures

DevOps Engineer

• Lead, develop, and retain a team of Cloud Infrastructure Engineers
• Set goals, role expectations, and success criteria; conduct 1:1s, feedback, and performance reviews
• Identify capability gaps and create hiring, upskilling, and cross-training plans
• Establish automation and AI tooling as expected practices across the team
• Support organization-wide Engineering hiring through technical interviews and calibration
• Own operational health of AWS infrastructure, including provisioning, configuration management, patching, capacity planning, and cost optimization
• Lead Terraform infrastructure-as-code practices and oversee Ansible Automation Platform operations
• Ensure reliable operation of Active Directory, Windows Server, Windows RDS, Group Policy, OUs, service accounts, and gMSAs
• Own certificate, DNS, domain, and Vault secrets lifecycle management
• Oversee AWS services and standardize, document, and secure configurations
• Operate Fortinet firewalls and NGINX Plus web tier, including routing, policies, SSL inspection, and VIP configuration
• Maintain firmware and security-update discipline across network-facing systems
• Integrate infrastructure automation with delivery pipelines and support release automation
• Oversee deployment automation for containerized services, Lambda, ECS, and EKS workloads
• Drive AI-assisted IaC, log analysis, anomaly detection, runbook generation, incident analysis, audit analysis, drift detection, capacity planning, and intelligent alerting
• Lead observability, dashboards, alerting, log aggregation, and anomaly detection using New Relic, Datadog, CloudWatch, and related tools
• Own on-call rotations, escalation paths, readiness standards, and incident response
• Lead blameless post-incident reviews, root cause analyses, and corrective actions
• Track availability, MTTR, change failure rate, and deployment frequency; report trends to the Director of DevOps
• Oversee IAM, security groups, secrets, encryption, vulnerability patching, and compliance controls
• Conduct infrastructure security assessments and drive remediation
• Own least-privilege access governance and audit-ready records
• Support SOC 2, ISO/IEC 27001, and NIST 800-53 audit readiness
• Partner with Engineering, Security, Product, Engineering Systems, and Release Workflow teams
• Represent DevOps in Engineering leadership forums
• Manage cloud provider, monitoring, firewall/appliance, and licensing vendor relationships

DevOps Manager, Infrastructure

• Lead, develop, and retain the DevOps engineering team responsible for the developer platform and delivery automation
• Own CI/CD build and deployment pipelines, shared templates, service-layer Terraform, EKS, golden paths, application connectivity, service data stores, environment promotion, and AI tooling
• Define and improve the end-to-end self-service path from service creation through production deployment
• Oversee Terraform-based infrastructure-as-code quality, versioning, peer review, deployment, and cost efficiency
• Enforce pipeline, repository, image, naming, secrets, Kubernetes, and hostname standards
• Own Azure DevOps build and deployment pipelines, environment gates, immutable image promotion, and release-team enablement
• Oversee EKS add-ons, workload identity, namespaces, NetworkPolicies, Helm support, and multi-environment service onboarding
• Manage deployment automation for containerized services, Lambda functions, ECS tasks, and EKS workloads
• Own API Gateway, authorizers, DNS, ACM certificates, ExternalDNS, application S3, SSM, Secrets Manager, and Aurora/RDS provisioning
• Drive adoption and operation of AI tooling for IaC, pipeline authoring, scripting, log analysis, anomaly detection, runbooks, and incident analysis
• Lead service observability wiring, delivery-path incident response, blameless post-incident reviews, root cause analyses, and corrective actions
• Track deployment frequency, change failure rate, lead time, and mean time to recovery; report trends to the Director of DevOps
• Ensure security, access management, audit readiness, and evidence collection for SOC 2, ISO/IEC 27001, and NIST 800-53
• Partner with Engineering, Release, SRE, Cloud Infrastructure, Application Security, and Engineering Systems teams
• Represent DevOps in leadership forums and manage relevant vendor and tooling relationships

DevOps Manager, Platform

Systems Engineer

• Administer and govern Azure DevOps organizations, projects, teams, repositories, pipelines, boards, area paths, iteration cadences, and access controls
• Manage Azure DevOps provisioning, permissions, access reviews, platform health, adoption metrics, configuration drift, and configuration incidents
• Administer and govern LaunchDarkly projects, environments, roles, access controls, SDK integrations, APIs, webhooks, and feature-flag lifecycles
• Partner with release management and Engineering teams on feature-flag configuration, progressive delivery, SDK health, and enablement resources
• Administer Flyway versioning conventions, environment configurations, migration monitoring, standards enforcement, validation, rollback documentation, and automation
• Manage Cursor and other AI-assisted development tooling, including provisioning, licensing, seat allocation, configuration standards, adoption, and enablement
• Use Claude Code, Cursor, and other AI tools for scripting, platform analysis, configuration review, documentation, access reviews, and compliance evidence
• Maintain, publish, distribute, and govern Engineering standards documentation and the standards repository
• Monitor standards adherence, coordinate onboarding standards materials, and support standards retrospectives
• Maintain access-control governance, provisioning and de-provisioning, access reviews, audit records, and security hardening across administered platforms
• Support SOC 2, ISO/IEC 27001, and NIST 800-53 audit readiness
• Build automation, monitoring, alerting, enablement resources, and workflow improvements that reduce administration toil
• Track platform health, adoption, support trends, and standards compliance for Engineering Systems leadership
• Lead complex configurations, cross-platform integrations, large-scale automation, standards contributions, technical mentoring, platform architecture recommendations, and AI tooling strategy

Engineering Systems Engineer

• Own Azure DevOps administration, governance, and continuous improvement across the Engineering organization
• Manage Azure DevOps project and organization structure, boards, work item processes, access model, and integrations with GitHub-hosted repositories
• Diagnose and resolve Azure DevOps platform issues as the internal escalation point
• Identify configuration drift and fragmented workflows, close governance gaps, and automate manual administration work
• Support the broader Engineering Systems platform portfolio, including LaunchDarkly, Flyway, Cursor, Claude Code, and other tools
• Use AI to accelerate platform analysis, generate automation scripts, produce enablement documentation, and surface platform insights
• Build and maintain Azure DevOps configuration guides, workflow standards, governance how-tos, and onboarding materials
• Maintain platform configuration documentation, standards repositories, governance requirements, workflow patterns, and access policies
• Coordinate onboarding standards for new engineers, including environment setup guides, tooling provisioning checklists, and standards orientation materials
• Track platform health, adoption metrics, support trends, and standards compliance
• Maintain operational data for the Engineering Systems Manager and Director of Engineering Systems

Senior Project Manager

AI Governance Analyst

Client Support Analyst – Engineer

Senior Data Engineer

Senior Data Engineer

DevOps Manager, Infrastructure

DevOps Manager, Platform

Engineering Systems Engineer

Engineering Systems Engineer – Azure DevOps Administration, Governance