Top Remote Platform Engineer Jobs

Build and operate production systems for Juniper Square’s AI Platform, including APIs, infrastructure, reusable frameworks, and AI/LLM capabilities. Own projects end to end, ensure reliability and observability, contribute to technical design, and support incident response. Collaborate with product, design, QA, and engineering teams while applying AI-native development practices. The role requires strong Python backend engineering, cloud-native technologies, databases, production operations, and hands-on experience with RAG, agents, evaluation workflows, or related AI systems.

Senior Software Engineer responsible for architecting and implementing reliable, scalable crypto payment platform services. The role focuses on distributed systems, backend development with TypeScript and Node.js, failure handling, observability, API and vendor integrations, production incident response, and technical mentorship. The engineer will own complex platform work end-to-end, influence architecture and team practices, and provide technical leadership without direct people management.

Own and evolve high-scale backend and data-layer services. Design, build, test, and operate distributed backend services and APIs, improve reliability/latency/scale, take end-to-end ownership from design through production support, participate in on-call and incident response, and mentor peers while partnering with Product and SRE teams.

Install, operate, and lifecycle-manage bare-metal OpenShift and Kubernetes platforms. Build Terraform and Ansible infrastructure-as-code provisioning, support platform services and virtualization, implement STIG and cybersecurity compliance, monitor performance, and document architecture and operations. The role also supports OCONUS hardware bootstrap activities and transitions manual provisioning to an IaC-managed model.

Build and operate a reliable security platform across hundreds of AWS environments. Responsibilities include security telemetry and OpenSearch infrastructure, GitOps deployments, Kubernetes and AWS security controls, cross-account and multi-region architecture, Python automation, and agentic AI workflows. The role participates in on-call support, security incident enablement, audit evidence automation, and reliability improvements while collaborating with Security Operations, Risk, and SRE teams.

Build and own core platform infrastructure, including Terraform, cloud environments, CI/CD pipelines, developer tooling, observability, monitoring, alerting, secrets management, and deployment abstractions. Partner with product engineers to improve delivery speed and reliability, support GCP messaging infrastructure, develop compliance tooling, improve cost visibility, and independently operate production systems in a regulated fintech environment.

The Platform Engineer will design and implement scalable compute infrastructure for autonomous vehicle simulation, utilizing cloud platforms and on-premises clusters, along with managing CI/CD pipelines and monitoring systems.

Lead design and development of Canvas Apps with UI/UX focus, collaborate with stakeholders, optimize Power Automate workflows, and own projects end-to-end.

Lead deployment and operation of the NodeZero platform across federal AWS environments (FedRAMP to Classified). Build scalable, secure cloud-native platforms, create Terraform/Crossplane modules, improve CI/CD and automation, implement telemetry and secret management, document platform practices, and evaluate new tooling to support engineers and federal compliance.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

The role involves enhancing developer productivity by improving CI/CD, automated testing, and integrating AI-based tools, focusing on operational excellence and collaboration with teams.

Lead development and reliability of frontend platform infrastructure powering ~30 React apps, including build tooling, testing frameworks, CI/CD pipelines, and developer experience. Design and implement generative AI tooling to automate frontend tasks, reduce toil, and improve engineering productivity. Collaborate with stakeholders to resolve technical debt, research new technologies, and support implementation roadmaps. Participate in on-call rotations to support production reliability.

Provision, automate, configure, and operate IL5 AWS GovCloud environments across development and production lifecycle stages. Develop Terraform or CloudFormation infrastructure modules, deploy monitoring and logging, troubleshoot cloud infrastructure, support DevSecOps automation, and ensure compliance with Zero Trust, RMF, STIG, and DoD requirements. Maintain documentation and participate in change control reviews while collaborating with architecture, cybersecurity, and application teams.

Develops and leads business application programming activities using Microsoft Power Platform. Designs systems, writes software, resolves program errors, documents development, and analyzes application requirements and capabilities. The role requires Power Apps development with Canvas or Model-Driven apps, Power Automate, Dataverse, and SQL Server experience, plus coordination and potential supervisory responsibilities. This telework position supports the Nuclear Regulatory Commission and requires the ability to obtain an NRC IT-1 Public Trust clearance.

Serves as an escalation resource for complex platform support issues, conducting root-cause analysis through database, log, and system diagnostics. Manages technical bug backlogs, monitoring and alerting platforms, access administration, runbooks, and support tooling. Partners with Engineering and customer experience teams on critical cases, escalation criteria, process improvements, automation, and platform reliability. Provides technical mentorship and participates in on-call support for high-priority incidents.

Manage and optimize the SIEM/SOAR platform: ingest/normalize logs, build integrations and automation, tune detections, support SOC investigations, create dashboards/reports, and improve platform performance and data fidelity.

Design, build, and operate services powering card issuance, transaction authorization, wallet provisioning, 3-D Secure, and disputes. Own features end-to-end within a microservice, event-driven architecture, write well-tested code, participate in reviews, and perform operational ownership including on-call and incident response. Leverage AI developer tools to improve velocity and quality.

Lead product security for the platform: prioritize threats, design and architect defenses, embed security early in designs, build platform-level safe defaults, find vulnerabilities in code, and raise team-wide security capability without becoming a bottleneck.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Build the enterprise platform for an AI creative product, including workspaces, roles, permissions, SSO, audit logging, usage-based billing, invoicing, and payment infrastructure. Design scalable APIs and multi-tenant architectures, strengthen security and reliability, and create React/Next.js administrative experiences. Partner with founders, sales, and customers to deliver enterprise requirements, establish engineering practices, and help shape the enterprise engineering team.

Design and build Fieldguide's core platform services, including APIs and systems. Mentor engineers and improve product delivery and system reliability.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.

Design, build, test, ship, and operate services powering card issuance, transaction processing, and disputes. Own features end-to-end within a microservice and event-driven architecture, write well-tested code, participate in on-call incident response, and leverage AI tools to improve development velocity and quality while collaborating with cross-functional teams.