Top Remote Engineering Jobs

Infrastructure Engineer responsible for designing, developing, and supporting monitoring systems for private and public cloud platforms. The role focuses on infrastructure and application availability, incident detection and recovery, automation, container orchestration, cloud technologies, and continuous delivery. Candidates should have Linux, shell scripting, Python development, cloud, Docker, Kubernetes, OpenShift, and Ansible experience, along with strong communication skills.

Lead development of robust, deterministic, and scalable simulation software for safety-critical autonomous aviation systems. Responsibilities include improving framework performance, flight dynamics modeling, hardware emulation, simulation-based testing, reproducibility, and distributed real-time architecture. Collaborate with flight software, guidance, navigation, control, and hardware test teams; support hardware-in-the-loop, high-fidelity physics, and cloud-based Monte Carlo infrastructure. Evaluate technical decisions, lead projects, and mentor engineers.

Leads end-to-end quality engineering test management across SIT, regression, UAT, and production readiness. Coordinates schedules, environments, resources, vendors, and dependencies across multiple teams and product domains. Manages QE capacity and flexpool activation, facilitates business UAT and formal sign-offs, oversees defect triage, maintains test plans and regression strategies, tracks testing metrics, and builds a centralized QE knowledge base. Supports release readiness, post-mortems, root-cause analysis, and continuous process improvement.

Supports implementation and technical support for EMR interfaces that automate electronic orders and results. Leads development, testing, troubleshooting, deployment, and documentation of interoperability solutions between the company and external healthcare providers. Assesses data sources, scopes projects, performs data transformations, administers Mirth interfaces, writes SQL queries, supports production systems, trains teammates, and communicates with clients.

Provides advanced field support for clean-in-place applications in dairy, beverage, brewing, and liquid food processing. Designs and validates wash cycles, verifies chemical concentrations, troubleshoots CIP systems, supports customer startups and commissioning, develops procedures and SSOPs, and creates validation records and case studies. Partners with Sales, Marketing, R&D, Regulatory, customers, and equipment integrators while providing technical expertise, food safety guidance, and operational optimization.

Supports complex IBM Z security conversion and migration engagements by analyzing customer environments, executing conversions, troubleshooting failed jobs, and maintaining conversion tools. Develops and modifies REXX code, works with z/OS security managers and mainframe technologies, investigates access controls and security definitions, and collaborates with customers and technical teams. The role also contributes to engineering practices, source control, testing, documentation, and responsible use of AI-assisted tools.

Develop and support scalable Python services, APIs, and event-driven systems for digital freight pricing and booking. Build experimentation frameworks, AI-assisted pricing harnesses, validation guardrails, real-time platforms, and machine-learning integrations. Lead architecture decisions, ensure security and reliability, mentor engineers, and collaborate across product, operations, revenue management, data science, and engineering teams.

Own the architecture and technical direction for Mirantis’s Enterprise AI platform, spanning AI gateways, Kubernetes-based model serving, control planes, identity, metering, and observability. Lead gateway and LLM infrastructure strategy, enterprise installation and security design, architecture reviews, and build-versus-buy decisions. Develop critical-path software, mentor senior engineers, collaborate with customers and design partners, and represent Mirantis in Kubernetes and ML-infrastructure communities.

The Workday Integrations Consultant will implement Workday solutions, gather requirements, and deliver integration technologies, while managing teams and participating in training.

Own reliability and observability for globally distributed software systems. Manage cloud platforms, Kubernetes, Terraform infrastructure, CI/CD, monitoring, alerting, and observability tooling. Respond to critical incidents, participate in on-call rotations, secure cloud infrastructure, automate operational tasks, scale databases, and help engineering teams adopt reliable DevOps and GitOps practices.