Top Remote DevOps & Platform Engineering Jobs in Charlotte, NC

Lead Technical Operations for an AWS-native, HIPAA/CMS-regulated platform: own DevOps, security/compliance (SOC2/HIPAA), IT, observability, incident response, and AI-enabled automation. Build policies, tooling, and a small team; partner with engineering and product; drive uptime, MTTR, deployment frequency, and audit readiness.

Design, operate, and improve highly scalable hybrid multi-cloud Kubernetes platforms supporting business-critical systems. Responsibilities include optimizing reliability, managing large-scale infrastructure, integrating open-source technologies, guiding Kubernetes platform evolution, and mentoring engineers. The role requires expertise with Kubernetes clusters containing thousands of nodes, observability tools, Golang, Linux, AWS, GCP, OCI, custom data centers, and on-call operations. Candidates must be eligible for CJIS clearance and periodically complete government-required background and fingerprint checks.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Own and improve the corporate endpoint environment across macOS, Windows, and iOS. Manage MDM, patching, vulnerability remediation, configuration, monitoring, compliance, and device lifecycle processes. Develop scripts and automation to deploy controls, detect drift, remediate issues, and reduce manual administration. Partner with Security and IT to implement CIS and NIST requirements, investigate complex endpoint problems, and lead technical projects from planning through deployment.

Build and optimize automated release engineering systems, including CI/CD pipelines, build and deployment tooling, and AWS cloud infrastructure. Ensure software delivery quality, security, compliance, and reliability. Lead complex projects, participate in on-call support, mentor teammates, and promote technical excellence. The role uses Go, Java/Kotlin, TypeScript, GitHub Actions, PostgreSQL, DynamoDB, Backstage, AWS, and AI development tools.

Implements and supports enterprise AI infrastructure platforms across client environments. Configures Kubernetes, workload schedulers, GPU resource governance, containers, observability, security, and related platform services. Performs discovery, deployment, integration, upgrades, troubleshooting, validation, documentation, and knowledge transfer. Collaborates with cross-functional technical teams, contributes to implementation plans and Statements of Work, manages project deliverables, and provides client-facing consulting support. Travel and occasional extended or weekend work may be required.

Design, build, and maintain Airflow-based automation pipelines and services to move files, run scheduled FTP jobs, validate and modify data, monitor application health, parse logs/emails, implement robust error handling and observability, and integrate API-driven systems to reduce manual operational work.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Administer Red Hat Linux, AWS cloud infrastructure, open-source platforms, and scalable big-data environments. Build CI/CD pipelines, maintain systems, patch applications, manage backups and VPNs, troubleshoot production issues, and support security compliance. Lead AWS and cluster networking design, monitor systems, respond to incidents, coordinate vendors, and develop secure configurations across development, test, and production environments.

Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.