Top Remote Tech Jobs

Analyzes ground laboratory and flight-test data for avionics, sensors, radar, and electronic warfare systems. Develops Python-based data processing pipelines, correlates TSPI and telemetry, decodes avionics data buses, evaluates system performance, identifies anomalies, and produces verification metrics and formal test reports. Presents findings to test directors and acquisition leaders and supports readiness reviews and milestone decisions.

Lead the technical direction, development, evaluation, security, observability, and cost optimization of production LLM agent systems. Build shared agent infrastructure, improve reliability and fault tolerance, establish testing and rollout standards, and partner with engineering, product, research, and security teams. Mentor engineers, support AI coding-agent adoption, investigate incidents, and guide model selection and production readiness across teams.

Build and operate production-grade agentic AI systems for enterprise SaaS, including orchestration, MCP tools, memory, RAG, knowledge retrieval, security guardrails, evaluation, and observability. Own products from prototyping through production, make tradeoffs among accuracy, latency, reliability, and cost, support incident response, create reusable tooling, and mentor engineers. The role requires expert Python, cloud-native infrastructure, distributed systems, and hands-on LLM production experience.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

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 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.