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Origami Risk

SaaS platform for risk, insurance, compliance

DevOps Manager - Infrastructure

Cloud EngineeringConfirmed live in the last 24 hours
Full-time$145k - $185k

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
  • At least 6 years of cloud infrastructure engineering experience, including at least 2 years in a management role with direct people-leadership accountability for a DevOps or Infrastructure Engineering team.
  • A demonstrated track record of leading and developing technical teams through hiring, coaching, performance management, and building a high-performance culture.
  • Deep hands-on proficiency with AWS services, including EC2, ECS, EKS, Lambda, RDS, S3, VPC, IAM, Route 53, CloudFront, and Auto Scaling, and experience designing and operating production AWS environments at scale.
  • Proficiency with Terraform infrastructure-as-code tooling; AWS CDK is a plus. Ability to review, guide, and hold the team accountable for infrastructure-as-code quality and consistency.
  • Hands-on production administration experience with Windows Server and Active Directory, including Group Policy, service accounts and gMSA, and identity management.
  • Working knowledge of network and web-tier infrastructure, including firewalls such as Fortinet or equivalent next-generation firewalls, reverse proxy and load balancing such as NGINX or equivalent, DNS, and certificate lifecycle management.
  • Proficiency with configuration management and automation using Ansible or Ansible Automation Platform, and scripting in Python, PowerShell, and Bash; able to coach on and review automation code.
  • Experience with container technologies including Docker, ECS, and EKS, including image build pipelines, registry management, and containerized deployment automation.
  • Experience with observability and monitoring platforms such as New Relic, Datadog, CloudWatch, or SumoLogic, sufficient to set team standards and review team-produced monitoring.
  • Demonstrated experience driving AI tool adoption within a DevOps or infrastructure engineering team, such as AI-assisted infrastructure-as-code authoring, AI-augmented log analysis, or intelligent alerting and automation.
  • Strong troubleshooting, incident management, and on-call leadership skills, including the ability to lead a team through high-pressure production incidents with structure, calm, and effective coordination.

Responsibilities

  • Lead, develop, and retain a team of Cloud Infrastructure Engineers, building a high-performance culture defined by technical excellence, automation, and operational ownership.
  • Set clear goals, role expectations, and success criteria for each engineer; conduct regular one-on-ones and give direct, constructive feedback with a visible path for growth.
  • Conduct structured performance reviews that recognize operational contributions, address delivery or quality gaps, and develop AI fluency and foundational infrastructure depth.
  • Identify team capability gaps across infrastructure-as-code, Windows and Active Directory administration, networking, container orchestration, security controls, and AI-assisted operations; develop hiring, upskilling, and cross-training plans.
  • Foster a culture in which manual processes are temporary, automation is the permanent solution, and AI tooling is an expected part of each engineer's work.
  • Support Engineering hiring by participating in technical interviews and helping calibrate the infrastructure engineering bar.
  • Own the operational health of AWS infrastructure, setting team standards for provisioning, configuration management, environment consistency, patching, capacity planning, and cost optimization.
  • Lead the infrastructure-as-code practice, ensuring resources are defined, versioned, peer-reviewed, and deployed through Terraform, and that manual changes are promptly codified as exceptions.
  • Oversee operation of the Ansible Automation Platform, including roles, inventory, and configurations, as the primary configuration-management system across the estate.
  • Ensure reliable operation of self-hosted Active Directory forests, Windows Server fleets, and Windows RDS, including Group Policy, organizational-unit structure, service-account and gMSA management, and identity hygiene.
  • Own certificate, DNS, and domain lifecycle management, ensuring renewals and changes are reliable and do not cause outages.
  • Ensure the Vault secrets service operates to a high standard as a shared, self-service secrets platform for multiple teams.
  • Drive cloud cost efficiency through right-sizing, reserved capacity, auto-scaling, and resource-cleanup automation.
  • Oversee core AWS services, including EC2, ECS, EKS, Lambda, RDS, S3, VPC, Route 53, IAM, CloudFront, and Auto Scaling, ensuring configurations are standardized, documented, and aligned with architectural and security standards.
  • Own operation of the Fortinet firewall estate and NGINX Plus web tier, including intrusion prevention, routing, firewall policy, object management, SSL inspection, and VIP configuration; ensure NGINX is deployed and configured through Terraform and Ansible.
  • Ensure infrastructure architecture reflects network security controls, traffic-routing policies, and connectivity requirements, maintaining reliability and security at every layer.
  • Hold the team accountable for firmware and security-update discipline across firewalls, NGINX, FTP, and other network-facing systems.
  • Ensure infrastructure and automation integrate cleanly with the delivery pipeline, enabling automated provisioning and deployment workflows and maintaining the infrastructure reliability that automated releases depend on.
  • Partner with Release Automation and Engineering Systems teams to provide pipeline tooling with environment provisioning, configuration, and deployment automation, including appropriate access controls, standards alignment, and change tracking.
  • Oversee deployment automation for containerized services, Lambda functions, ECS tasks, and EKS workloads, ensuring patterns are consistent, traceable, and recoverable across environments.
  • Coach engineers to diagnose and eliminate root causes of flaky and intermittent infrastructure failures.
  • Drive adoption of AI development tools, including Claude Code and Cursor, for daily workflows; establish norms for AI-assisted infrastructure-as-code authoring, automation scripting, and operational documentation.
  • Integrate AI-powered log analysis, anomaly detection, runbook generation, and LLM-augmented incident analysis into workflows to reduce mean time to diagnosis.
  • Use AI to accelerate infrastructure audits and compliance analysis, drift detection, capacity planning, and intelligent alerting; share effective patterns with engineering leadership.
  • Evaluate AI-native infrastructure tools and make evidence-based recommendations to the Director of DevOps on investments with the greatest operational return.
  • Hold team members accountable for AI tool adoption and proficiency, incorporating AI fluency into performance conversations, development plans, and hiring criteria.
  • Lead ownership of infrastructure and application observability, including monitoring dashboards, alerting policies, log aggregation, and anomaly detection using New Relic, Datadog, CloudWatch, and related tools.
  • Hold the team accountable for alert quality by building monitoring that surfaces actionable signals rather than noise.
  • Own the team's on-call model, including rotation schedules, escalation paths, and readiness standards; ensure engineers have runbooks, tooling access, and AI-assisted investigation capabilities.
  • Lead blameless post-incident reviews, produce structured root-cause analyses, and ensure follow-through on corrective actions that prevent recurrence.
  • Track infrastructure reliability metrics, including availability, mean time to resolution, change failure rate, and deployment frequency, and report trends and improvement actions to the Director of DevOps.
  • Hold the team accountable for infrastructure security controls across environments, including IAM policy governance, security-group management, secrets management, encryption standards, vulnerability patching, and compliance with baselines aligned with NIST 800-53, ISO/IEC 27001, and SOC 2.
  • Ensure regular infrastructure security assessments review IAM permissions, security-group configurations, exposed endpoints, and compliance configurations, and drive timely remediation of identified gaps.
  • Own infrastructure access governance, ensuring provisioning and de-provisioning are timely, least-privilege, regularly reviewed, and audit-ready.
  • Support audit readiness and evidence collection for SOC 2, ISO/IEC 27001, and NIST 800-53 by maintaining accurate records of infrastructure configurations, access grants, and change history.
  • Partner with Application Security Engineers to integrate infrastructure-level controls, including container scanning, secrets management, and network-policy enforcement, into team-owned automation workflows.
  • Serve as the primary operational partner to Engineering delivery teams, providing infrastructure consultation during system design and ensuring services are operationally sound and reliably deployable.
  • Collaborate with Engineering Systems and Release Workflow teams on pipeline governance, release planning, and deployment coordination, ensuring infrastructure capacity is available, validated, and ready before promotion.
  • Represent the DevOps team in Engineering leadership forums, communicating infrastructure health, operational risk, team capacity, and improvement roadmap with data-backed specificity.
  • Manage infrastructure-domain vendor and tooling relationships, including cloud provider support, monitoring platforms, firewall and appliance vendors, and licensing; ensure service-level agreements are met and escalations are handled promptly.

Desired Qualifications

  • AWS certification at the associate or professional level, such as AWS Solutions Architect or AWS DevOps Engineer – Professional.
  • Experience operating HashiCorp Vault or an equivalent shared secrets-management platform.
  • Experience with continuous integration and continuous delivery pipeline platforms, including Azure DevOps Pipelines and/or GitHub Actions, sufficient to partner effectively with release and pipeline teams.
  • Experience implementing site reliability engineering practices, including service-level objectives, error budgets, and chaos engineering, within a managed infrastructure team.
  • Familiarity with Temporal or AWS Step Functions for workflow orchestration in infrastructure automation or deployment pipelines.
  • Experience with log aggregation tools including Elasticsearch, Logstash, Kibana (ELK), Graylog, or Fluent.
  • Experience supporting compliance frameworks including SOC 2, NIST 800-53, or ISO/IEC 27001, including managing team accountability for control evidence and audit readiness.
  • Experience evaluating and adopting AI-native infrastructure intelligence tools, such as AI-assisted deployment risk scoring, predictive scaling, or LLM-powered operational runbook generation.

About the Company

Origami Risk

SaaS platform for risk, insurance, compliance

Origami Risk provides integrated SaaS software for risk, insurance, compliance, and safety management. Its platform connects data, automates workflows, and delivers analytics to help organizations make informed decisions, streamline operations, and improve collaboration. The product works as a subscription-based, multi-module system that centralizes risk-related data, automates processes, and lets users design ad hoc reports and use every reportable field as a modifier to extract maximum value. Origami Risk differentiates itself through a unified, code-consistent platform with strong security and reliability, ongoing compliance with third-party standards, and features like the ad hoc report designer that empower clients to tailor reporting and workflows. Its goal is to help corporations, public entities, and insurance providers manage risk more efficiently and effectively by providing a scalable, secure, and data-driven solution.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2009

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