Note: The job is a remote job and is open to candidates in USA. Orange Logic is hiring a Senior DevOps Engineer to build and improve the infrastructure, deployment pipelines, and operational tooling supporting its SaaS platform. The role focuses on secure, reliable, and scalable operations, applying AI-assisted workflows to automate and improve software delivery and operations.
Responsibilities
- 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
Skills
- 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
- 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
Benefits
- 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
Company Overview