Top Remote Jobs

Designs and enforces cloud, network, application, and infrastructure security controls across AWS, Azure, GCP, and on-premises environments. Responsibilities include hardening systems, managing IAM and network controls, conducting vulnerability assessments, overseeing remediation, securing applications and data, maintaining security standards, and supporting SIEM, DevSecOps, patching, logging, and compliance activities.

Develop and enhance Android SDKs, tools, and applications supporting payment transactions and kiosk-mode devices. Design, implement, debug, and optimize complex software using Kotlin, Jetpack Compose, Coroutines, Flow, dependency injection, and large multi-module architectures. Integrate REST services, payment hardware, peripheral devices, and vendor SDKs while contributing to code reviews, technical planning, testing, and architectural decisions. The role also supports secure, PCI/EMV-compliant commerce applications.

Leads mechanical system design, analysis, prototyping, testing, and production while managing project scope, schedules, budgets, risks, and documentation. Coordinates cross-functional teams and external partners, mentors engineers and technicians, conducts design reviews, troubleshoots failures, and ensures compliance with quality, safety, and industry standards. Drives process improvements and serves as a key technical liaison with customers, stakeholders, operations, product management, and quality assurance.

Build and maintain user-facing Android features in Kotlin, using Jetpack Compose and modern MVI/Clean architecture. Integrate RESTful APIs with OkHttp, write unit and integration tests, conduct code reviews, troubleshoot issues, and collaborate with product, design, backend, and QA teams through structured GitLab release cycles.

Build and operate PEMCO’s end-to-end AI platform, including GPU infrastructure, model serving, AI gateways, retrieval systems, agent orchestration, observability, evaluation, cost telemetry, security, and governance. Lead production deployment, monitoring, incident response, lifecycle management, and architecture standards for AI systems. Optimize model routing, costs, performance, and reliability across Azure and potential on-premises environments while influencing organization-wide AI platform and governance decisions.

Provides global technical support for Mercury Marine delivery partners and customers. Supports new product development, propulsion system integration, vessel testing, installation audits, performance optimization, issue resolution, corrective actions, and product launches at boat manufacturers. Develops engineering tools, coordinates system solutions, documents product concerns, trains installation technicians, manages vessel personalities, and supports customer events. The role requires frequent collaboration with marine OEMs and 40% travel in Central Florida.

Architect and build a multi-cloud ML training platform for decentralized large-model training and inference across consumer devices and cloud instances. Responsibilities include infrastructure orchestration, distributed compute, GPU workloads, checkpointing, data streaming, network-condition simulation, node-churn management, observability, reliability, and resilient job execution. The role requires strong Python, infrastructure-as-code, Kubernetes, distributed systems, decentralized networking, and SRE experience.

Design, develop, and deploy production AI/ML systems involving foundation models, agentic workflows, RAG, multimodal learning, model evaluation, and edge inference. Build data pipelines, cloud architectures, APIs, and software integrations while applying AI assurance practices. Lead technical tasks, mentor junior staff, collaborate with customers and cross-functional teams, contribute to Agile delivery, and support advanced government and commercial R&D proposals.

Conduct continuous manual penetration testing across network, web application, cloud, and social engineering attack surfaces. Pursue findings through post-exploitation, lateral movement, privilege escalation, and business-impact validation. Communicate results to technical and non-technical clients, lead debriefs, improve team tooling, direct AI and automation, mentor junior testers, and collaborate with R&D to operationalize repeatable techniques.

Build and operate production AI and LLM systems for safety-critical enterprise applications. Responsibilities include multi-step agent orchestration, retrieval across Neo4j and vector stores, evaluation frameworks, model comparison, observability, quality monitoring, failure handling, and production incident response. The role requires strong Python and experience with asynchronous services, LLM workflows, evaluation, retrieval, graph reasoning, and enterprise AI security. It also contributes to model selection, technical direction, and the AI roadmap.