Top Remote Engineering Jobs

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

Develop and maintain a password-protected .AI KPI dashboard using Identity Digital Data Warehouse data and a mutually agreed web framework. The dashboard will provide near-real-time updates, executive-level views, drill-down functionality, and metrics covering registry growth, financial performance, technical infrastructure, and security. The contractor will collaborate with technical and business stakeholders, maintain an in-person presence in Anguilla, coordinate deliverables, and provide emergency support when required.

Provides Tier 3 production support for advanced advertising applications. Performs full-stack troubleshooting, root-cause analysis, and resolution of medium to complex technical issues across cloud and software stacks. Responds to customer support requests, documents solutions, mentors junior engineers, and contributes technical expertise in a collaborative environment. Technologies may include Azure, AWS, .NET Core, Angular, Java, Python, APIs, and SQL.

Design, build, and operate scalable distributed systems for real-time restaurant payment and financial workflows. Responsibilities include architecting reliable services, protecting sensitive financial data, improving observability and production performance, debugging distributed systems, participating in on-call rotations, applying AI-assisted engineering tools, collaborating cross-functionally, and mentoring engineers.

Build and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, test reliability, observability, and engineering productivity at scale. Own services from architecture through production, including SLOs and on-call operations. Lead cross-functional technical projects, partner with engineering teams, mentor engineers, and shape platform strategy.

Test mobile features across iOS and Android, perform regression testing, and build automated synthetic tests for voice calls and SMS. Develop test plans for new and cross-team initiatives, track bugs and quality trends, and provide data-driven recommendations. Collaborate closely with engineering, product, and design teams to maintain quality while increasing release velocity.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Lead enterprise architecture strategy and design for scalable, secure, high-performing technology solutions. Define architecture roadmaps, integration patterns, data flows, cloud strategies, and governance standards. Provide technical leadership to engineering teams, guide modernization and DevOps initiatives, manage risks, and ensure compliance. Collaborate with business stakeholders, project teams, and partners to translate strategic objectives into technology solutions, resolve complex implementation challenges, and support successful delivery across distributed teams.

Own end-to-end network reliability across data centers, AWS, and GCP, including routing, switching, DNS, load balancing, service mesh, VPNs, circuits, and cross-connects. Automate network configuration with Ansible, Terraform, GitOps, CI validation, and IPAM. Engineer failover, observability, security hardening, client connectivity, and Kubernetes ingress while participating in an interrupt-contained on-call rotation.

Build and operate scalable software powering enterprise data science and AI platforms. Contribute across backend services, APIs, frontend features, and cloud integrations while working on high-impact projects. Collaborate with experienced engineers, apply modern software engineering practices, and learn technologies supporting reliable, reproducible, and compliant AI and MLOps solutions.