Top Remote Jobs in Nashville, TN

Architect and build production-grade multi-agent AI systems, agentic workflows, RAG solutions, tool libraries, memory systems, and evaluation frameworks. Deploy scalable, low-latency solutions across AWS, GCP, or Azure using MLOps, CI/CD, observability, and infrastructure automation. Integrate and optimize LLMs, implement monitoring and safety controls, establish performance metrics, and lead technical delivery while mentoring team members and communicating complex AI concepts to stakeholders.

Provides phone, chat, email, and portal support for EverHealth SaaS healthcare applications. Diagnoses application, workflow, and configuration issues; guides customers on best practices; documents interactions; escalates complex problems; collaborates with internal teams; contributes product feedback and knowledge-base content; and meets customer satisfaction, quality, productivity, and SLA goals.

Leads the strategy, architecture, and operation of Demandbase’s internal developer platform and cloud infrastructure. Responsibilities include Kubernetes platform management across AWS and GCP, CI/CD and GitOps, infrastructure as code, service mesh, observability, FinOps, security, incident response, and AI-assisted development workflows. The role sets organization-wide technical standards, authors architecture guidance, leads major incidents and postmortems, and mentors senior engineers across teams.

Implement and operate multi-region AWS database infrastructure for a Tier-1 payments platform. Responsibilities include DynamoDB Global Tables replication, failover and failback automation, Terraform or CDK infrastructure, observability, disaster recovery testing, KMS and IAM configuration, CDC pipelines, data migration cutovers, and application resilience patterns. The role also requires runbook and design documentation, collaboration with data, SRE, and application teams, and support for regulated financial-services workloads.

Design and deploy production AI/ML systems, including data pipelines, RAG systems, agentic workflows, model integrations, APIs, observability, evaluations, guardrails, and cost optimization. Collaborate with product, design, and client stakeholders while contributing to architecture, code reviews, testing, deployment, and technical strategy. Build reliable, secure, scalable systems using modern LLM and cloud technologies.

Design and improve search engine layers including storage, indexing, and querying. Perform intensive performance optimization using profiling, SIMD, data-structure tuning, and I/O optimization. Evolve full-text, vector, and reranking APIs; collaborate with customers; document technical concepts; and contribute expertise in search, storage engines, or distributed systems.

Build and maintain C#/.NET backend services, APIs, web applications, ERP and billing features, and financial integrations. Modernize legacy .NET Framework applications onto Azure, optimize SQL Server and Azure SQL data access, create automated tests, support CI/CD, instrument production systems, and implement secure authentication and configuration. Troubleshoot application, database, and hosting issues while collaborating with DevOps, architects, product leaders, and stakeholders.

Leads complex security investigations from detection through resolution, including threat analysis, containment, eradication, recovery, root cause analysis, threat hunting, vulnerability management, and attack-chain reconstruction. Develops incident response playbooks and SOPs, writes executive reports, mentors Tier I analysts, and participates in on-call coverage. Requires advanced Windows, networking, scripting, malware analysis, SIEM, digital forensics, and incident response capabilities.

Lead security tooling and enablement for a global SaaS platform. Build automation, pipeline guardrails, and developer workflows covering application security, dependency and supply chain security, containers, artifacts, cloud posture, vulnerability management, and policy enforcement. Partner with Security and Engineering teams, lead proofs of concept and technical initiatives, improve security tooling usability, and support responsible adoption of AI-assisted engineering and security tools.

Lead security tooling and automation for a global SaaS platform, covering application security, dependency and supply chain security, container and artifact security, cloud posture, and policy enforcement. Build developer-friendly security guardrails, vulnerability workflows, and remediation processes. Partner with Security and Engineering teams to execute initiatives, evaluate AI-assisted security tools, and enable responsible adoption of AI in engineering environments.

Build and own studio-wide systems that improve software quality, testing, performance, developer velocity, and infrastructure reliability. Responsibilities include functional test automation, load and chaos testing, regression analysis, device compatibility labs, build and GPU clusters, CI infrastructure, disaster recovery exercises, developer tooling, quality metrics, and technical leadership across distributed engineering teams.