Top Remote Platform Engineer Jobs

Design, build, and own Astronomer’s multi-cloud platform infrastructure. Lead architecture and implementation of production-scale distributed systems, operate Kubernetes clusters under load, write design docs and postmortems, make tradeoff decisions, and drive cross-team technology choices to improve platform scalability, reliability, and developer experience.

Lead design and implementation of Astronomer’s multi-cloud platform infrastructure. Own platform strategy, build production-grade distributed systems (Kubernetes/Go), make architecture decisions, document designs and postmortems, and drive cross-team technical choices to scale a SaaS/PaaS offering for enterprise customers.

Manage model registries, continuous training loops, and A/B testing infrastructure. Deploy agentic models as scalable microservices on Kubernetes and build observability dashboards to track token usage, latency, and agent reasoning paths. Maintain MLOps pipelines and ensure scalable, observable AI infrastructure.

Build and operate MLOps and agentic infrastructure: manage model registries, continuous training loops, and A/B testing; deploy agents as scalable Kubernetes microservices; and create observability dashboards tracking token usage, latency, and agent reasoning.

Own and evolve the AWS-based platform powering product and AI workloads. Design IaC (Pulumi), build CI/CD pipelines, manage observability, respond to incidents, support LLM workflows (Bedrock, SageMaker), and partner with engineering and ML teams to improve reliability, scalability, and developer experience.

Lead platform strategy and architecture to scale backend systems. Improve reliability, observability, and developer productivity. Mentor engineers, drive technical standards, and build cloud-native Django services on AWS with Postgres performance tuning.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

Lead design, build, and operate IDEXX internal developer platforms (AWS Organizations, GitHub Enterprise, Terraform Cloud, JFrog). Write production Python, drive architecture, mentor engineers, define standards, remove technical debt, and partner with internal teams to balance developer experience with security and compliance.

Lead design and delivery of integrations platform features (SDKs, agents, pipelines). Improve integration authoring, reliability, scalability, observability, and developer tooling. Partner across product and customer teams, mentor engineers, and evaluate emerging technologies to scale integration development and agent-based workflows.

Design, build, and own Marathon's core cloud platform (primarily AWS). Implement IaC (Terraform), automation, self-service, and reliability-by-design. Define platform standards, embed security and compliance (SOC2/HIPAA/HITRUST) into workflows, reduce incidents through better design, and mentor other engineers.

Design, build, and maintain scalable real-time and historical data pipelines and libraries; implement APIs, data quality checks, monitoring, and performance-optimized workflows; collaborate with autonomy, platform, and front-end teams to support fleet data analysis and visualization.

Build and operate internal AI platform services: chat/agent frontends, retrieval over code/docs, AI-native developer workflows, sandboxed execution, model routing, telemetry, and compliance-minded design for regulated aerospace environments.

Design and operate ML training and serving infrastructure, build a Kubernetes+Ray backend, improve developer experience and observability, mentor engineers, and ensure reliable, secure deployments for low-latency, high-performance systems.

Build and harden low-latency, high-throughput ML platform infrastructure. Design storage, indexing, streaming, backpressure, failure handling, and observability. Scale decisioning, improve developer experience for data scientists, manage Kubernetes deployments, and collaborate with SRE, data infra, and engineering to ensure reliable, debuggable production systems.

Lead and scale Sully.ai's multi-cloud platform by owning provisioning, reliability, and automated deployments. Implement GitOps and IaC, standardize developer tooling and CI/CD, optimize scalability and costs for AI workloads, and deliver measurable platform and engineering efficiency improvements.

The Principal Software Engineer will design a semantic model architecture for data products, ensure performance, and lead technical initiatives while collaborating with teams to optimize data consumption across the platform.

Join Supabase as a Software Engineer to own the Terraform provider, improving reliability, driving technical strategy, and creating documentation for seamless IaC workflows.

The Software Engineer, Platform will design and develop backend APIs, ensure scalability, collaborate on B2B solutions, and support cross-functional teams.

As a Senior Platform Engineer, you'll design and maintain backend systems, build APIs, manage infrastructure, and ensure reliability of services in a rapidly growing crypto environment.

Provide production support, maintenance, troubleshooting, and enhancements for legacy VB.NET desktop and service applications. Diagnose issues across applications, databases, Windows systems, and connected devices; write and optimize T-SQL; manage deployments, incident investigations, and documentation; collaborate with business and technical stakeholders to ensure reliability and continuity.

Design, build, and maintain scalable, high-performance backend/platform services. Own ClickHouse table design and production operations, troubleshoot performance and ingestion issues, collaborate with product and security teams, participate across SDLC (testing, deployment, production support), and promote engineering best practices and CI/CD-driven DevOps workflows.

Design and build internal platforms, tooling, and AI-powered workflows to reduce developer friction, improve velocity, quality, and reliability. Partner with product, infra, and security to create reusable paved paths, measure impact with engineering metrics, and help define the Developer Experience practice.

Deploy, configure, and operate multi-cloud landing zones (Azure, AWS, GCP) using IaC and DevSecOps. Implement policy-as-code, identity-first controls, DNS-as-code, telemetry integration with SIEM/SOAR, and Azure Virtual Desktop. Perform compliance reviews, maintain runbooks and docs, coordinate with identity and cybersecurity teams, and resolve escalated cloud platform incidents.

Own and evolve Fieldwire's cloud production infrastructure and tooling: design and automate SDLC and IaC, ensure reliability and security, lead incident response and observability, mentor engineers, and drive platform architecture and process improvements.