Top Remote Platform Engineer Jobs

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.

Design, build, and maintain automation and deployment frameworks. Create Python automation scripts, custom Dockerfiles, and Helm charts; deploy and manage Helm across multiple Kubernetes clusters. Maintain configuration-as-code repos, implement CI/CD (preferably GitLab CI/CD), apply GitOps/Kustomize practices, troubleshoot platform issues, and collaborate with development teams to ensure scalable, documented platform operations.

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.

Design, build, and maintain scalable CI/CD workflows and GitOps deployments using GitHub Actions, Argo CD, and Kubernetes. Improve developer experience, embed AI tooling into DevOps, enforce GitHub governance, lead incident response, and mentor engineers to enhance reliability and deployment safety.

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.

Build and operate scalable, multi-tenant backend services for Grafana’s SaaS application platform. Responsibilities include developing features, improving production operations, authoring and reviewing designs, shaping the roadmap, mentoring engineers, collaborating across teams, and participating in on-call rotations. The role requires distributed-systems experience, strong communication, customer ownership, pragmatic decision-making, and familiarity with or willingness to learn Golang.

Operate and improve enterprise AI/ML platforms across Palantir Foundry, AWS Bedrock, and Amazon SageMaker. Responsibilities include deployment, monitoring, observability, automation, governance, model lifecycle management, incident response, root cause analysis, CI/CD, infrastructure as code, and production reliability. The role provides technical leadership and mentorship while partnering with data, infrastructure, security, architecture, product, and engineering teams to support cloud-based AI workloads and Generative AI adoption.

Build and maintain shared testing infrastructure, automation frameworks, developer tooling, and AI-assisted test authoring systems. Integrate testing standards into CI/CD, improve build reliability, eliminate flaky tests, and develop test harnesses for AI-powered features. Partner with engineering, Quality Advocates, and SRE teams to improve platform reliability and developer productivity. Evaluate AI testing tools, support organization-wide adoption, mentor engineers, and own systems from architecture through production support.

Design, build, and operate public REST APIs and integration platforms supporting enterprise synchronization, marketplaces, automation, and developer ecosystems. Establish API standards, contract testing, reusable connector foundations, CI/CD automation, documentation, and security controls. Own production services through monitoring, incident response, performance tuning, and reliability improvements. Collaborate cross-functionally to deliver scalable platform solutions.