Top Senior Linux Jobs in Miami, FL

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.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

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.

Build and maintain NetBox Enterprise, an on-premises product suite. Responsibilities include architecting Kubernetes-based high-availability solutions, extending Kubernetes operators, developing lifecycle management tools, building CI/CD pipelines, managing releases, writing Rust and Python, supporting integration testing, documenting deployment practices, and resolving customer deployment and operational issues.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Lead and grow a 5–10 engineer autonomy integration team for V-BAT/X-BAT, owning delivery, hiring, mentoring, and technical health. Drive integration of autonomy software (mission behaviors, VTOL transitions, multi-agent coordination), collaborate tightly with aircraft, perception, and capability teams, run ICDs and field tests, and support live exercises and deployments (20–30% travel).

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

Design and sell cloud object-storage solutions using S3-compatible platforms. Partner with customers and channel partners through the sales cycle, troubleshoot storage, networking, and integration issues, create technical documentation and best practices, and collaborate with Sales, Product, Engineering, and Support to improve customer experience.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Lead the Mapping Engineering team as a Staff Software Engineer, focusing on designing scalable distributed backend systems for autonomous vehicle mapping, collaborating with cross-functional teams, and mentoring engineers.

Lead architecture, implementation, and reliability for Redfin's cloud database and storage systems. Drive strategy for scalability, observability, security, backups, DR, and incident response. Mentor engineers, run high-availability drills, support both self-managed and AWS-managed databases, and participate in on-call rotation.