Top Linux Jobs in Charlotte, NC

Lead day-to-day Redis and OpenShift platform operations, including cluster builds, maintenance, upgrades, monitoring, troubleshooting, incident response, and decommissioning. Develop automation and remediation workflows using Python, Bash, GitOps, and AI-assisted tools. Build observability solutions, improve reliability and resilience, enforce security and compliance controls, conduct root-cause analysis, and drive operational improvements across engineering, SRE, security, and development teams. Participate in on-call rotations and work onsite.

Leads development of Python-based automation for load balancer provisioning, configuration, lifecycle management, deployments, and APIs. Builds integrations between network platforms and internal systems, converts manual procedures into repeatable workflows, and improves reliability, security, and maintainability. Collaborates with network and platform engineering teams in an enterprise environment. Requires extensive Python, REST API, Ansible, GitHub, and load balancer automation experience, with exposure to cloud-native and legacy infrastructure.

Manage infrastructure reliability and performance for internal business services. Implement site reliability engineering and DevSecOps practices, monitor system health, automate infrastructure management with PowerShell, troubleshoot enterprise environments, remediate vulnerabilities, and support Relativity, Nuix, Azure, Windows, Linux, and SQL Server. Collaborate with stakeholders and vendors, maintain technical documentation, apply ITIL incident and change management, solve complex infrastructure issues, and mentor junior team members.

The Senior Site Reliability Engineer ensures SaaS platforms remain reliable, performant, secure, and scalable. Responsibilities include building cloud infrastructure, implementing monitoring and alerting, automating operational runbooks and deployments, managing Infrastructure as Code, applying AI-powered observability and remediation, supporting Kubernetes and cloud networking, and leading incident triage and root-cause analysis during 24/7 on-call rotations.

Build, monitor, and scale resilient cloud infrastructure across multi-region and multi-cloud environments. Develop Kubernetes controllers and infrastructure tools using Go, Python, Ruby, and Terraform; maintain Datadog observability; diagnose complex production performance and reliability issues; automate failover and capacity management; and collaborate with engineering teams on architecture and infrastructure improvements.

Design, code, test, debug, document, deploy, and upgrade software applications. Drive moderately complex technology initiatives, evaluate technical challenges, resolve issues, guide teams, collaborate with stakeholders, and contribute to strategic planning while meeting compliance and risk-management requirements.

Design and develop scalable C++ software for endpoint state and control across Windows, macOS, and potentially Linux. Build reliable, multi-process systems that enforce endpoint behavior, manage local state, support IPC, and operate across millions of devices. Responsibilities include implementing features, improving platform performance, writing design documents, defining architecture and IPC contracts, and making technical decisions in an evolving, sparsely documented environment.

Own the durability, recoverability, performance, and security of a production PostgreSQL/RDS fleet supporting a live trading platform. Lead replication, failover, backup and restore, disaster-recovery drills, data lifecycle management, access control, encryption, and database observability. Investigate engine-level performance issues including WAL contention, replica lag, bloat, and locking. Build infrastructure and AI-assisted operational tooling while documenting runbooks and reliability decisions.

Design, scale, and operate Runpod’s distributed storage platform across network volumes, local NVMe, and S3-compatible object storage. Tune storage and high-speed network performance, lead capacity expansions and migrations, write production automation and control-plane code, extend APIs, and build observability, dashboards, SLOs, and alerts. The role also participates in on-call operations, incident response, infrastructure-as-code practices, and long-term architecture decisions for petabyte-scale AI infrastructure.

Develop and test systems-level C++ software that defines and enforces endpoint behavior. Initially, the engineer will own testing infrastructure and coverage for two active projects, then contribute to feature development. The role requires strong C++ fundamentals, automated testing experience, and interest in operating-system concepts such as processes, file systems, services, and APIs. Work includes learning unfamiliar systems, collaborating effectively, and supporting reliable endpoint security and management capabilities.

Develop and architect a cross-platform C++ endpoint patching agent for Windows, macOS, and Linux. Responsibilities include code reviews, mentoring engineers, improving development processes, collaborating across patching teams, and translating product needs into resilient technical designs. The role involves system-level APIs, patch installation and rollback logic, embedded databases, and client-server integration.

Design and implement scalable backup software for endpoints, servers, and cloud applications. Develop Java and Kotlin services, optimize databases and queries, debug production systems, and resolve distributed-system performance issues. Contribute code, reviews, architecture discussions, documentation, and cross-team reliability initiatives. Mentor engineers and help deliver resilient products operating at large scale.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Provides architectural and technical leadership for institutional exchange systems, including matching engines, order management, market data, risk, and unified trading platforms. Leads ultra-low-latency distributed-system design, cross-team technical alignment, reliability standards, incident response, and multi-quarter initiatives. Maintains hands-on engineering contributions while mentoring senior engineers and developing technical leadership across teams.

Owns and optimizes resilient, ultra-low-latency network and physical data-center infrastructure for institutional trading across cloud and on-premises environments. Designs routing, multicast, segmentation, firewall, VPN, telemetry, and automation systems. Leads production changes, incident response, failover testing, maintenance, and on-call support for 24/7 trading platforms. Mentors engineers and partners with SRE, product, and trading-system teams to improve reliability and developer velocity.

Own Tier 3 escalations and incident response for complex customer issues involving a cybersecurity platform. Investigate distributed systems, reproduce defects, coordinate resolutions with engineering and product teams, and build Datadog observability dashboards, monitors, and alerts. Create runbooks, troubleshooting guides, RCAs, and postmortems; mentor support staff; identify recurring failure patterns; communicate with customers; and participate in an application-layer on-call rotation.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Designs, implements, and supports secure Azure and GCP DevOps platforms, CI/CD pipelines, Kubernetes environments, GitOps workflows, and developer self-service capabilities. Owns enterprise tools including JFrog, Argo CD, SonarQube, LaunchDarkly, GitHub, and runners. Leads software supply chain security, vulnerability remediation, compliance, automation, platform modernization, incident response, and L3 support while partnering with cybersecurity teams.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Leads MongoDB database administration and team operations, including production support, sharding, replication, performance tuning, backup and recovery, capacity planning, incident resolution, and high-availability architecture. Manages task prioritization, escalations, on-call schedules, compliance activities, monitoring, onboarding, and stakeholder communication while mentoring team members and supporting mission-critical enterprise applications.

Designs and deploys enterprise database platform services, develops Terraform and Ansible Infrastructure-as-Code solutions, and automates complex implementations. Collaborates with engineering and platform teams to improve reliability, resiliency, and efficiency while promoting DevOps practices and continuous improvement. Implements database lifecycle management within PaaS pipelines and supports technologies including Linux, containers, Kubernetes, OpenShift, Redis, MongoDB, SingleStore, and CockroachDB.

Implement, configure, and maintain ServiceNow CMDB, Discovery, and Service Mapping capabilities. Develop ITOM/CMDB solutions, support data ingestion and ETL for CMDB accuracy, collaborate with engineering and infrastructure teams in Agile cycles, and deploy platform enhancements to improve service visibility and configuration management.

Designs, builds, and optimizes Oracle EPBCS planning models, integrations, data pipelines, and automated finance workflows. Configures Oracle EPM AI Agents for validation, variance analysis, reconciliation, narrative generation, anomaly detection, and close orchestration. Partners with Finance, ERP, data engineering, analytics, and Oracle teams to support close, forecasting, consolidation, governance, documentation, training, and broader finance transformation initiatives.