Orange Logic
Careers at Orange Logic

Senior DevOps Engineer

US

At Orange Logic, we’ve been solving complex content challenges for over two decades. Driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software, we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. 

The Senior DevOps Engineer will build and improve the infrastructure, deployment pipelines, and operational tooling that keep Orange Logic's SaaS platform secure, reliable, and scalable. You will bring an AI-first approach to DevOps: identify repetitive work, evaluate where AI can help, and turn useful experiments into dependable workflows that improve how we build, deploy, and operate software.

Your Role at Orange Logic:

  • Architect, provision, and maintain scalable, secure cloud infrastructure, using Infrastructure as Code and repeatable configuration management
  • Own and improve CI/CD pipelines, deployment automation, and rollback processes to increase delivery speed and reduce deployment failures
  • Use AI coding assistants to develop, review, and test infrastructure code, scripts, pipeline configurations, and operational documentation
  • Build and evaluate AI-assisted workflows for log analysis, alert enrichment, incident investigation, runbook retrieval, and post-incident summaries
  • Identify recurring operational tasks and automate them using scripts, APIs, and AI agents where they provide a measurable advantage
  • Validate AI-generated code and recommendations through review, testing, and staged rollouts; use least-privilege access and approval controls for production changes
  • Manage and improve metrics, logs, traces, dashboards, and alerting to strengthen observability and reduce alert noise
  • Operate and optimize containerized workloads and Kubernetes environments, including capacity, performance, resilience, and cost
  • Partner with engineering teams to support the deployment and operation of AI-enabled services, including secrets, access controls, monitoring, and usage costs
  • Embed security practices into development and deployment workflows, and protect credentials, customer information, and proprietary code when using AI tools
  • Measure improvements in deployment lead time, recovery time, cloud spend, and manual effort; expand AI workflows when results justify adoption
  • Participate in incident response and on-call coverage, contribute to root-cause analysis, and implement preventive improvements
  • Mentor engineers, maintain clear documentation and runbooks, and share effective DevOps and AI practices across the organization

Apply now

Ideal Qualifications:

  • Proven experience operating production cloud infrastructure and deployment pipelines for SaaS or other highly available software platforms
  • Hands-on experience using AI tools in engineering work, with concrete examples of improving automation, troubleshooting, code quality, or delivery speed
  • Ability to explain where AI helped, how its outputs were verified, and when conventional automation was the better choice
  • Strong expertise in at least one major cloud platform, such as AWS, Azure, or Google Cloud
  • Extensive experience with Infrastructure as Code, such as Terraform or CloudFormation, and configuration management tools such as Ansible, Chef, or Puppet
  • Experience with Docker and Kubernetes, including production troubleshooting and workload reliability
  • Experience building and maintaining CI/CD pipelines with tools such as Jenkins, TeamCity, or Azure Pipelines
  • Strong scripting and automation skills using Python, Bash, or PowerShell, and proficiency administering Linux and Windows environments
  • Experience with observability tools and the use of metrics, logs, and traces to investigate production issues
  • Strong understanding of networking, identity and access management, secrets management, and cloud security practices
  • Experience with source control, code reviews, automated testing, and collaborative software delivery
  • Ability to work autonomously, communicate complex concepts clearly, and mentor colleagues across development and operations
  • Curiosity and initiative to evaluate new tools, learn quickly, and turn successful experiments into maintainable operational practices

Preferred Qualifications:

  • Experience building AI agents or integrating LLM APIs with engineering tools, operational data, or internal knowledge sources
  • Experience deploying and monitoring AI-enabled applications, including API reliability, latency, rate limits, and usage costs
  • Experience administering Elasticsearch or supporting .NET applications and build configurations
  • Experience optimizing cloud costs and supporting infrastructure across multiple cloud platforms

Perks of joining the team:

  • Competitive compensation
  • Medical, Dental, & Vision Insurance
  • Life & Disability Insurance
  • 401(k) & Roth with 4% employer match (fully vested)
  • 20 Days PTO
  • 8 Weeks Parental Leave
  • 8 Company Holidays
  • Remote Work Environment

Compensation:

The target compensation for this position is $140,000 - $180,000 in most remote locations. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees.

Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process.