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Origami Risk

SaaS platform for risk, insurance, compliance

DevOps Manager - Platform

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
  • At least 6 years of DevOps, platform, or cloud infrastructure engineering experience, including at least 2 years in a management role with direct people-leadership accountability for a DevOps or platform engineering team.
  • A demonstrated track record of leading and developing technical teams, hiring, coaching, performance management, and building a high-performance culture.
  • Deep hands-on proficiency with AWS services for application delivery, including ECS, Fargate, EKS, Lambda, API Gateway, ALB/NLB, S3, RDS, IAM, and Route 53, operating production environments at scale.
  • Proficiency with Terraform for infrastructure as code and the ability to review, guide, and hold the team accountable for service-layer IaC quality and consistency.
  • Deep experience with CI/CD pipelines, Azure DevOps Pipelines and/or GitHub Actions, including reusable template design and environment-gated promotion.
  • Experience with Docker, ECS, EKS, image build pipelines, registry management, and Kubernetes workload identity through Pod Identity or IRSA.
  • Experience with API Gateway, Lambda authorizers, and service-to-service connectivity patterns in AWS.
  • Proficiency with configuration management and automation using Ansible, and scripting in Python, PowerShell, and Bash, with the depth to coach on and review automation code.
  • Experience wiring services into observability platforms such as New Relic, Datadog, or CloudWatch, sufficient to set team standards for service-stack telemetry.
  • Demonstrated experience driving AI tool adoption within a DevOps or platform engineering team, such as AI-assisted IaC authoring, AI-augmented log analysis, or intelligent alerting and automation.
  • Strong troubleshooting, incident management, and on-call leadership skills to lead the team through high-pressure delivery incidents with structure, calm, and effective coordination.

Responsibilities

  • Lead, develop, and retain DevOps Engineers building the developer platform, cultivating technical excellence, an automation mindset, and operational ownership.
  • Set goals, role expectations, and success criteria for each engineer; conduct regular one-on-ones and give direct, constructive feedback with a visible growth path.
  • Conduct structured performance reviews and develop team members' AI fluency and platform-engineering depth.
  • Identify capability gaps across CI/CD, service-layer Terraform, container orchestration and EKS, API and connectivity patterns, and AI-assisted operations; build targeted 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 across the organization by participating in technical interviews and helping calibrate the platform-engineering bar.
  • Own the end-to-end path from service creation to autonomous production deployment, including repository scaffolding, ECR, Terraform workspace, pipeline, variable groups, secrets paths, hostname, gateway wiring, and alarms; reduce onboarding time and ownership ambiguity.
  • Lead the service-layer infrastructure-as-code practice, ensuring IaC stacks are defined, versioned, peer-reviewed, and deployed through Terraform on S3 and DynamoDB backends, with manual changes promptly codified as exceptions.
  • Oversee shared pipeline templates used organization-wide and enforce an additive-only change policy with safe defaults that do not break existing consumers.
  • Set and enforce naming and structural standards for ECR repositories, variable groups, Kubernetes ServiceAccounts, secret paths, and private hostnames.
  • Drive service-level cost efficiency through right-sizing service stacks, OpenSearch Serverless OCU caps, ECR lifecycle policies, and idle-stack cleanup.
  • Operate within the Cloud Infrastructure team's landing zone, guardrails, and shared platforms, maintaining boundaries between service delivery and the estate.
  • Own per-service Azure DevOps build and deploy pipelines for building, testing, scanning, containerizing, pushing, and deploying, including environment gates.
  • Hold the team accountable for container image discipline, immutable and distinct hotfix tags, ECR repository definitions, and lifecycle policies.
  • Own the environment promotion model from feature branch to main, using one pipeline per repository gated per environment and immutable-tag promotion with roll-forward by default.
  • Build CI/CD pipelines for the Release team and train and support that team in promotion gates, stage approvals and retries, failure diagnosis, and escalation paths.
  • Coach Engineers to diagnose and eliminate root causes of flaky and intermittent delivery failures.
  • Oversee the EKS platform layer, add-ons, workload identity through Pod Identity and IRSA, namespaces, NetworkPolicies, golden-path add-ons, and multi-environment service onboarding.
  • Own the golden path, zero-touch service onboarding, shared token-gateway authorizer, and Helm support so new features and capabilities require no bespoke infrastructure work.
  • Oversee deployment automation for containerized services, Lambda functions, ECS tasks, and EKS workloads, ensuring consistent, traceable, recoverable patterns across environments.
  • Own application connectivity, including REST and HTTP API Gateways, public and private gateways, Lambda authorizers, per-service DNS records, ACM certificates in delegated zones, and ExternalDNS; debug gateway-path failures end to end.
  • Provision service data stores, including application S3, SSM configuration, Secrets Manager entries, and Aurora/RDS with DDL and Flyway pipelines, then hand ongoing database operations to the Database team.
  • Drive adoption of Claude Code, Cursor, and other AI development tools in daily workflows, establishing norms for AI-assisted IaC and pipeline authoring, automation scripting, and operational documentation.
  • Build and operate internal AI tooling across intake, design, implementation, review, CI/CD, and operations to accelerate product and engineering teams.
  • Integrate AI-powered log analysis, anomaly detection, runbook generation, and LLM-augmented incident analysis into operations to reduce mean time to diagnosis.
  • Use AI to accelerate service onboarding, Terraform scaffolding, pipeline authoring, and operational diagnosis, and share effective patterns with engineering leadership.
  • Hold team members accountable for AI tool adoption and proficiency, incorporating AI fluency into performance conversations, development plans, and hiring criteria.
  • Lead service observability wiring, including CloudWatch log groups, metrics, and traces defined in each service's Terraform, with service-level retention and high-volume log controls; confirm services emit telemetry before handoff to SRE.
  • Maintain boundaries with observability platforms operated by Cloud Infrastructure and with monitor, alert, and dashboard design owned by SRE, serving as the integration point rather than the on-call owner of those views.
  • Own the team's response to delivery-path and service-stack incidents, including failed deployments, gateway and connectivity faults, image and task-definition problems, and environment configuration drift; establish ownership and hand off incidents with evidence when appropriate.
  • Lead blameless post-incident reviews, produce structured root cause analyses, and follow through on corrective actions to prevent recurrence.
  • Track delivery reliability metrics, including deployment frequency, change failure rate, lead time, and mean time to recovery, and report trends and improvement actions to the Director of DevOps.
  • Hold the team accountable for delivery-path security controls, including service-scoped workload IAM roles, secret paths, container image scanning, and network-policy enforcement within Cloud Infrastructure guardrails, SCPs, and permission boundaries.
  • Partner with Application Security Engineers to integrate infrastructure-level controls, container scanning, secrets management, and network-policy enforcement into team-owned automation workflows.
  • Ensure pipeline and platform access is timely, least-privilege, regularly reviewed, and audit-ready, including service connections, OIDC role mappings, and repository and pipeline permissions.
  • Support audit readiness and evidence collection for SOC 2, ISO/IEC 27001, and NIST 800-53 by maintaining accurate records of pipeline configurations, access grants, and change history for team-owned systems.
  • Serve as the primary delivery partner to Engineering and capability teams, providing platform consultation during system design and ensuring services are operationally sound and reliably deployable.
  • Collaborate with Release and Engineering Systems on pipeline governance, release planning, and deployment coordination, ensuring the delivery path is validated and ready before promotion.
  • Partner with Cloud Infrastructure on service-delivery and landing-zone boundaries, the delivery toolchain, EKS placement, IAM roles, application DNS, and secrets, keeping ownership explicit.
  • Represent the DevOps team in Engineering leadership forums, communicating delivery health, operational risk, team capacity, and the improvement roadmap with data-backed specificity.
  • Manage vendor and tooling relationships for CI/CD and source-control platforms, container registry and Kubernetes tooling, and AI development tools; ensure SLAs 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 building a self-service developer platform or golden path for service onboarding.
  • Experience with Kubernetes platform engineering, Helm chart libraries, ExternalDNS, and gateway/authorizer patterns.
  • Experience with Terraform Cloud or HCP and migrating workspaces to S3 and DynamoDB backends.
  • Experience implementing SRE practices, SLOs, and error budgets in partnership with an SRE team.
  • Familiarity with Temporal or AWS Step Functions for workflow orchestration in deployment pipelines.
  • Experience supporting compliance frameworks, including SOC 2, NIST 800-53, or ISO/IEC 27001, with control evidence and audit readiness for delivery systems.
  • Experience evaluating and adopting AI-native developer-productivity or deployment-intelligence tools, AI-assisted deployment risk scoring, 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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