Top Remote Platform Engineer Jobs

Develop and support software throughout the SDLC using Power Platform, Dataverse, .NET, C#, Blazor, and MAUI/Blazor Hybrid. Design scalable data models, integrations, automation workflows, APIs, authentication, and role-based security. Integrate hybrid applications with Power Apps and Dataverse, guide project teams, document technical solutions, and communicate with technical and non-technical stakeholders. Apply secure coding practices, accessibility standards, and AI-assisted development techniques.

Build and operate real-time, event-driven microservices that process large-scale penetration-testing telemetry into findings, attack paths, reports, and customer insights. Responsibilities include migrating batch logic to streaming architectures, designing distributed systems, managing schemas and storage, correlating hosts and identities, ensuring observability and operational excellence, and contributing to technical design, APIs, documentation, and incident response.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Work on a DevOps/SRE platform team to build and maintain Kubernetes clusters, IaC, CI/CD pipelines, identity management, monitoring, certificate lifecycle, and security compliance. Troubleshoot deployments, support on-call incidents, document runbooks/ADRs, mentor junior engineers, and contribute to strategic platform planning and automation to ensure a reliable, secure, and scalable cloud platform.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Design and deliver improvements to Wikipedia’s wikitext processing infrastructure, write PHP and JavaScript, maintain internet APIs, instrument components, and use caching and persistence technologies. Collaborate across engineering, product, design, client, and volunteer communities; own complex technical projects, make architectural decisions, maintain reliable high-performance software, write tests, address security feedback, and mentor engineers.

The Staff Software Engineer will architect scalable systems, improve development tooling, drive observability, mentor peers, and enhance technical quality across teams.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Architect and develop scalable backend microservices for payments, disbursements, or governance, risk, and compliance systems. Build secure financial workflows, integrate Google Cloud services, manage infrastructure handling millions of daily requests, and collaborate across product, operations, and compliance teams. The role also includes mentoring engineers, improving platform capabilities through analytics and feedback, and implementing secure, high-performance distributed systems.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Own and operate the core cloud platform for a healthcare SaaS: cloud infrastructure (AWS), CI/CD, developer tooling, observability, IaC, Kubernetes, incident response, cost and capacity planning, and platform APIs to enable engineering teams to self-service deploy and operate services.

Build and own full-stack features, platform primitives, and integrations for Vanta Government Cloud. Design secure APIs and services for authentication, data ingestion, schema evolution, monitoring, and framework mappings. Operate integrations within the GovCloud boundary, including observability, on-call support, incident response, change management, performance improvements, and automated testing. Collaborate with federal subject-matter experts, agencies, vendors, and assessment organizations while using AI responsibly to improve development and operations.

Build and operate scalable AWS cloud infrastructure using Terraform and infrastructure-as-code best practices. Develop enterprise cloud solutions focused on security, resilience, performance, and availability. Automate CI/CD pipelines using GitOps, ArgoCD, GitHub Actions, and Azure DevOps. Manage Kubernetes, service mesh, serverless applications, patching, upgrades, and infrastructure operations while collaborating with engineering, architecture, security, and customer teams.

Build and lead scalable platform services using C# or TypeScript, distributed systems, SQL and NoSQL databases, Docker, Kubernetes, and AWS. Design secure architectures, improve reliability and performance, manage CI/CD and infrastructure as code, integrate third-party APIs, and explore AI/ML capabilities. The role also requires technical mentorship, cross-functional collaboration, architectural leadership, troubleshooting complex backend issues, and advancing engineering standards across teams.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

Design, build, deploy, and operate scalable cloud-native microservices and APIs (Java/Spring Boot) on AWS/GCP and Kubernetes. Build event-driven systems with Kafka, ensure reliability via TDD, CI/CD, monitoring, and performance testing, and collaborate with cross-functional teams to deliver production services at global scale.

Design, build, secure, automate, and operate AWS cloud platforms supporting large-scale modernization. Develop CI/CD pipelines, Infrastructure as Code, containerized deployments, security scanning, secrets management, observability, release automation, and operational readiness capabilities. Troubleshoot distributed cloud environments, establish reusable platform patterns, and collaborate with engineering, architecture, security, vendors, and federal stakeholders to meet scalability, compliance, resilience, and governance requirements.

Owns Okta identity and access management, including SSO, MFA, lifecycle workflows, entitlement governance, contractor access, and automated provisioning. Administers Jira, Confluence, and related Atlassian platforms at organizational scale. Designs identity and platform architecture, automates access processes, reduces security risk, maintains audit-ready documentation, and partners with Information Security and IT Operations on governance, remediation, and continuous improvement.

Build and maintain backend infrastructure for AZX’s LLM gateway, including routing, rate limiting, key management, observability, sandboxing, Kubernetes services, operators, and autoscaling. Develop high-performance services in Go, Rust, or async Python using Envoy and gRPC. Support reliable model serving across cloud and customer-managed clusters, collaborate across platform teams, and help develop scalable inference and evaluation capabilities.

Own the realtime and voice layer of an agentic AI travel assistant, including telephony integrations, speech pipelines, model orchestration, and low-latency performance. Build React and TypeScript front ends, Scala and Python services, and GCP infrastructure. Design multi-tenant systems, safety and compliance controls, observability, incident response, and partner integrations. Mentor engineers and contribute to architecture and code quality.

Own the full lifecycle of clinical text extraction models, from problem framing and annotation strategy through production deployment, evaluation, monitoring, and retraining. Build clinical NLP pipelines, establish defensible quality and error-analysis systems, and apply LLMs using rigorous evaluation, observability, and cost controls. Partner with clinical data and backend engineering teams while addressing PHI protection, de-identification, auditability, and access controls. As the first ML hire, set technical direction and potentially build and lead the future ML team.

Own the realtime and voice layer of Hopper’s AI travel assistant, including telephony integrations, streaming speech pipelines, model orchestration, and latency optimization. Build React/TypeScript front ends, Scala and Python services, and GCP infrastructure for multi-tenant systems. Develop safety, compliance, observability, and deployment capabilities while supporting incident response and SLA performance. Contribute to architecture and code reviews, mentor engineers, and collaborate across product, design, and operations.

Administer, monitor, troubleshoot, and optimize Linux workloads and Azure PaaS/IaaS services. Support connectivity, identity, observability, CI/CD, security patterns, and migrations from VM-hosted workloads to managed Azure services while collaborating with application and DevOps teams.

Build and maintain Ashbys platform and SRE systems: scale infrastructure, improve developer experience, implement SLOs/SLIs, add reliability guardrails, enable canary/gradual rollouts, support event-driven architecture and data warehousing, and debug production issues. Ship code, own projects end-to-end, and collaborate asynchronously with product and engineering teams.

Own the maintenance, security hardening, multi-tenant provisioning, deployment, and operation of an AWS-hosted AI SaaS platform. The role will also help commercialize the product through packaging, positioning, and go-to-market efforts. Applicants should have independently shipped and operated a real SaaS product and be comfortable working as the sole or near-sole engineer. Compensation is currently revenue share, equity, or another negotiated arrangement without guaranteed cash pay.