Top Senior Linux Jobs in Miami, FL

The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.

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 reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

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

Lead a product engineering team to own roadmap delivery for customer-facing console, APIs, and developer workflows. Plan roadmaps, drive system architecture, ensure quality/reliability, run execution processes, hire and mentor engineers, coordinate cross-functional dependencies, and incorporate customer feedback to improve product adoption and performance.

Lead and grow a distributed datacenter storage engineering team owning end-to-end storage from NAND/NVMe to filesystems. Design and operate SAN, NFS, and parallel filesystems (VAST, Lustre), optimize performance (RDMA, GDS), ensure reliability, automation, observability, and collaborate with networking, GPU platform, SRE, and product teams.

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).

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Manage clusters, develop with Golang, provision infrastructure with Terraform, and enhance performance of the platform handling untrusted code.

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 Solutions Engineer leads technical sales cycles, designs enterprise storage solutions, and partners with sales to drive customer outcomes and revenue growth.

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.

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.

The Senior Release Engineer will design and optimize deployment workflows, manage CI/CD systems, and enhance Kubernetes infrastructure while ensuring security and operational excellence.

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.

As a Senior Software Engineer, you will design and develop software solutions, write code, maintain software, and ensure customer needs are met.

Manage a high-performing software engineering team, driving product roadmap and technical direction, while ensuring quality, performance, and innovation.

Maintain, enhance, and support enterprise applications on IBM i (AS/400) using RPGLE. Lead modernization efforts (VS Code, Code for IBM i, Git/GitHub), develop database solutions (MS-Access, OpenEdge Progress), build Visual Basic integrations, perform Linux system administration, troubleshoot issues, gather requirements from business users, and document technical specifications.

The Senior Platform Engineer will design automated solutions, support deployments, implement management tools, and enhance system performance and security in a hybrid role.

Lead performance investigations to optimize JVM-based microservices, reduce latency, and improve resource efficiency while mentoring team members on JVM internals.