Top Remote Engineering Jobs

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.

Build and ship full-stack healthcare software across frontend, APIs, and databases. Lead frontend migrations, performance improvements, production AI implementations, and end-to-end product development. Use AI-assisted workflows, prototype with patients and care teams, and deliver reliable, accessible, scalable systems. Own projects independently, collaborate with customers and internal teams, and establish reusable architecture and trustworthy automation for telehealth.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Represent 3M in optical interconnect standards organizations, lead technical contributions and specifications, translate standards and ecosystem trends into product strategy, build partnerships with hyperscale customers and vendors, and develop demonstrations supporting technical marketing. The role requires expertise in optical interconnect, co-packaged optics, data center connectivity, industry standards, and related optical technologies. It is remote in the US with travel of up to 30%.

Modernize legacy Windows-based .NET applications into secure, scalable containerized services on AWS EKS. Responsibilities include Kubernetes deployment support, PostgreSQL performance tuning, observability with Dynatrace, Splunk, and CloudWatch, application security remediation, Terraform and Terragrunt infrastructure automation, CI/CD, production deployments, and cross-layer troubleshooting.

Develops and implements real-time automation controls and industrial information solutions from plant-floor systems to enterprise platforms. Responsibilities include PLC, HMI, SCADA, networking, database, and vision-system design; programming, debugging, testing, documentation, commissioning at client sites, process improvement, problem-solving, technology learning, and mentoring. The role supports manufacturing and life sciences clients and requires regional travel.

Provides Tier 3 and Tier 4 support for enterprise voice technologies, including troubleshooting, issue isolation, resolution, root-cause analysis, PBX, VoIP, UCaaS, call center, and voice interface systems. Participates in project design meetings and leads engineering, testing, implementation, and deployment activities. Collaborates with project managers and IT teams, evaluates emerging voice technologies, mentors junior staff, and maintains platform documentation and operational knowledge.

Designs, implements, operates, and automates Cisco and Arista spine-leaf data center and DMZ networks. Engineers F5 BIG-IP load balancing and security services, develops Python and Ansible automation, and supports routing, switching, segmentation, and resiliency. Responsibilities include implementation planning, testing, change management, Level 3 incident escalation, root cause analysis, audits, documentation, operational handoff, and mentoring junior engineers.

Lead platform and infrastructure architecture for scalable AI workloads. Design resilient distributed systems, foundational platform services, and cloud environments; solve complex infrastructure challenges; mentor junior engineers; and collaborate with product, research, and security teams to improve reliability, performance, developer experience, and operational efficiency.

Serve as a senior SQL Server DBA and trusted client advisor, focusing on performance tuning, cloud database architecture, automation, high availability, disaster recovery, capacity planning, and proactive risk management. Lead root-cause analysis, database migrations, deployment scripting, monitoring, reporting integrations, and service lifecycle planning across AWS and Azure. Build client relationships, guide technical strategy, and deliver reliable database services within defined service-level objectives.