Top Remote Platform Engineer Jobs

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead design and evolution of Hex's graph-based compute execution architecture. Optimize parallel execution, caching, and remote warehouse interactions. Instrument and diagnose performance, author technical proposals, mentor engineers, and roadmap long-term platform designs while remaining hands-on in backend code.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Lead platform and developer experience initiatives: interview teams to find friction, design reusable Nest.js/React/TypeScript patterns, optimize PostgreSQL and Kafka performance, manage Kubernetes and ArgoCD deployments, refactor legacy systems, mentor engineers, and deliver tools that improve CI/CD, observability, and developer velocity.

Design and deliver LLM-powered, agentic AI systems to automate customer support and compliance. Build scalable, secure backend infrastructure in Python and Go, integrate third-party models/APIs, implement grounding and guardrails, and measure performance. Lead end-to-end projects, mentor engineers, conduct code reviews, and participate in on-call and incident response to improve resolution times and reduce operational costs.

Design, build, and maintain Salesforce applications and integrations to support institutional sales, billing, and compliance. Own end-to-end feature delivery, collaborate with product and business stakeholders, ensure engineering quality through reviews and documentation, mentor junior engineers, and support operations via on-call rotations and incident triage.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

Lead design and implementation of the PSA Liquidity Platform connecting buyers and sellers. Build buyer tooling, matching/ranking engines, and seller experiences. Architect and operate microservices and Kafka-driven systems on Kubernetes/AWS, instrument observability, apply AI tooling across the SDLC, and drive cross-functional delivery from 0-to-1 while owning end-to-end outcomes.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Lead and architect enterprise Kubernetes platforms (EKS/GKE), automate resource management and scaling (Karpenter, ScaleOps), implement IaC and CI/CD, apply FinOps to optimize cost, improve observability, mentor engineers, and drive platform resilience and operational excellence.

Lead platform architecture, development, and reliability for an AI-driven molecular discovery product. Build agentic workflows, full-stack UI features, integrate Console/Builder/Solutions apps, and implement API integrations with sequence and assay providers to support model training, deployment, and researcher workflows.

Operate and maintain AWS GovCloud infrastructure (EKS, EC2, RDS/Aurora, ElastiCache, S3, IAM); manage deployments across commercial and GovCloud; build reusable Terraform modules, Helm charts, and GitLab CI pipeline templates; diagnose cross-cutting infrastructure issues; improve observability with Datadog; partner with application teams and participate in on-call rotation with full production ownership.

Builds and operates the platform by deploying and running containerized services on Kubernetes, contributing Go control-plane code, managing PostgreSQL data, implementing Helm deployments, maintaining observability (Grafana/Prometheus), writing automation and tooling, participating in incident response/on-call, and supporting developer environments and production launches.

Owner of CI/CD release pipeline infrastructure: design, build, and maintain YAML pipelines in GitHub and Azure DevOps; automate deployments with Ansible and IaC; implement proactive monitoring and manage Azure/on-prem resources; maintain runbooks, secrets, and deployment strategies; collaborate across engineering, DBA, and IT teams; participate in on-call rotation.

Volunteer senior developer to design, build, and maintain a cross-platform medical scheduling app (web, iOS, Android). Participate across the full development lifecycle: design, coding, testing, CI, deployments, code reviews, production support, incident management, and platform architecture. Attend weekly standups and commit at least four hours per week.

Build and operate Coinbase's LLM and agent platform: design the LLM gateway, agent runtime, knowledge bases, AI spend governance, observability/eval tooling, and ship production agents while partnering cross-functionally to ensure secure, cost-effective, and responsible generative AI at scale.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

Lead design and ownership of an Azure-based production AI platform: integrate and standardize LLM tooling (orchestration, observability, prompt/versioning), build secure backend and CI/CD IaC pipelines, harden production operations, enable auditable regulated workflows, and mentor engineers to ensure reliable, traceable AI-assisted certification workflows.

Own and scale Provable's data platform on GCP: build and optimize ingestion pipelines from blockchain indexers, design privacy-aware data models, manage Postgres and BigQuery, develop high-performance data-serving APIs, ensure data quality and observability, and use IaC (Terraform, Helm) and Kubernetes to deploy and cost-optimize environments.

Architect and build a scalable frontend platform for CX operational tooling: design modular frontend architecture, secure data aggregation layers and API proxies, improve developer experience (DX), optimize builds and CI/CD, collaborate with stakeholders to streamline workflows, and mentor engineers on frontend best practices, accessibility, and code quality.

Platform Engineer responsible for building and securing cloud-native platform infrastructure. Work includes IaC, Kubernetes cluster build/maintenance (EKS/RKE2), CI/CD and GitOps automation, secure coding and vulnerability remediation, mentoring engineers, and coordinating application-to-platform integrations for DoD/Navy environments.

Own and operate production Kubernetes platforms across cloud (AWS EKS) and on-prem/bare-metal, implement GitOps (Argo CD/Flux), build self-service tooling (Helm, operators/CRDs), define SLOs and incident response, develop observability (Prometheus, Grafana, OpenTelemetry), maintain CI/CD pipelines, automate infrastructure as code, and troubleshoot infrastructure and cluster issues to ensure reliable mission-critical workloads.

Lead platform reliability for a high-volume OMS: drive automation, self-healing, observability, incident management, RCA, performance tuning, and mentor support engineers while partnering with engineering and vendors.

Build and maintain cloud-native platform infrastructure and CI/CD for Navy environments. Implement IaC, manage Kubernetes clusters (EKS, RKE2), apply secure coding and vulnerability remediation, integrate applications with platform services, mentor engineers, and collaborate across teams to align technical solutions with mission needs.

Build and maintain internal developer platforms, tooling, and automation to improve engineering productivity. Implement AI-powered tooling and LLM/agent-driven workflows, create service catalogs and self-service infrastructure, partner with engineering teams to improve reliability, and reduce operational overhead through automation and improved developer experience.