Top Remote Platform Engineer Jobs

Develop and enhance the NIM Platform SDK and microservice framework, focusing on high-performance AI inference. Collaborate across teams and optimize cloud microservices for scalability and reliability.

Design and evolve data pipelines, ensure accuracy of business datasets, improve data reliability, and partner across teams to provide insights and solutions.

Lead platform architecture and implementation for Tamnoon, designing scalable, secure distributed systems and cloud-native services. Build cloud infrastructure with AWS, Kubernetes/EKS, serverless and event-driven patterns, own identity and access solutions, and integrate security and external platforms. Drive technical design reviews, mentor engineers, establish best practices, and collaborate with Product, Security, and Engineering to deliver reliable, production-grade platform capabilities.

As a Senior Platform Engineer, you'll automate configuration and deployment processes, manage cloud environments, and enhance product delivery while collaborating with developers.

As a Principal .NET Software Engineer at Versapay, you will modernize payments infrastructure, improve scalability, design distributed services, and take ownership of payment workflows while collaborating with various teams to enhance customer experience.

As a Site Reliability Engineer, you'll build and maintain infrastructure for ML models, automate processes, and collaborate cross-functionally.

The Sales Engineer will support account teams, conduct product demonstrations, develop technical proposals, and analyze customer data scenarios to promote data observability solutions.

The Senior AI Engineer will design and implement scalable AI platform services, integrate large language models, and optimize AI capabilities within ClickUp's product, collaborating across teams for innovation.

As a Golang Engineer at Tenki, you will build and maintain core infrastructure, architect APIs, and ensure secure microservices connectivity while mitigating DDoS threats and defining resilient systems.

The Staff AI Engineer will build the AI platform, apply LLMs for intelligent feature development, and ensure system scalability and security while optimizing performance.

Design and build API tooling, integrations, and mission-critical distributed platform services. Own API Gateway integrations and service lifecycles, drive API governance, improve shared services, and support platform capabilities powering ClickUp's AI initiatives (Brain and Agents). Collaborate across teams in an agile environment to accelerate product development.

Design, build, and operate backend platform services and infrastructure, owning features end-to-end from design through production. Improve reliability, performance, and scalability across services and the data layer, investigate and resolve production incidents, and convert fixes into durable improvements. Perform database work as needed (query/index tuning, sharding, capacity planning) and collaborate with SRE and application teams to meet zero-downtime SLAs. Mentor peers and raise engineering quality through reviews and best practices.

As a Staff AI Engineer, you'll design and maintain the AI platform, develop APIs, enhance automation tools, and mentor engineers while ensuring responsible AI use within the company.

As a Staff Software Engineer, you'll enhance the release and configuration systems across environments, optimize release pipelines, and provide tooling for reliable deployment, ensuring consistency and scalability while collaborating with various engineering teams.

Develop and manage scalable AI infrastructure solutions, monitor fleet health, deliver architecture specifications, and oversee product lifecycle management with a focus on quality assurance and team collaboration.

Design and implement OpenBMC Firmware for NVIDIA's GPU Server platforms, focusing on performance optimization, coding, and collaboration with hardware teams.

As a Senior Software Engineer, you will develop and maintain Alpaca's platform services, including event streaming infrastructure and authentication systems, while ensuring software quality and reliability.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.

Build and own end-to-end data platform capabilities for cloud, on‑prem, and airgapped environments. Design, deploy, and maintain infrastructure and tooling, write comprehensive tests, produce design docs/ADRs/runbooks, engage with product and defense customers, contribute to open source, and mentor junior engineers. Operate effectively in a remote, mission-focused team.

Design, implement, and maintain scalable infrastructure, automation, and internal platform services (monitoring, logging, alerting). Expand Kubernetes environment, enable engineering teams via IaC, GitOps, and secure cloud-hosting practices while solving reliability and scalability challenges.

Early-career platform engineer who builds and maintains integration, end-to-end, and regression test suites; packages and deploys open-source components into Kubernetes; builds seed-data tooling, deployment automation, runbooks, and demos; writes clear bug reports and documentation; participates in code review and grows technical skills. Travel ~10–20%; U.S. citizenship and ability to obtain security clearance required.

Lead the execution and optimization of cloud solutions, ensuring scalable and reliable infrastructure while collaborating with architecture and engineering teams.

The role involves developing features for Grafana's SaaS platform, mentoring team members, and improving operational systems. Candidates should have experience with distributed systems and strong coding skills, particularly in Golang.

Build and own full-stack platform features (primarily backend in Golang, frontend in React), design APIs and architecture, engage directly with customers, ensure scale and reliability, and develop infrastructure for AI agent workflows including tooling, observability, and guardrails.

Design, architect, and implement enterprise Power Platform solutions (Power Apps, Automate, BI, Pages) using Dataverse and Azure integrations. Lead governance, ALM/CI-CD, workshops, requirements, UAT, client engagements, and mentor developers while supporting proposals and delivery.