Top Remote Platform Engineer Jobs

The Power Platform Engineer designs and implements solutions using Microsoft Power Platform tools, integrates with Azure services, leads development phases, ensures quality, and provides ongoing support.

The Staff Engineer, Quality Platform will establish quality metrics, standards, and tooling while partnering with engineering teams to embed quality processes and foster a quality-driven culture across the organization.

As a Senior Software Engineer on the Logistics Platform team, you will enhance logistics systems by building APIs, improving data quality, and partnering with cross-functional teams to solve complex problems, ultimately improving user experiences and operational outcomes.

Design and implement AI/ML platforms, establish secure connectivity, build CI/CD pipelines, integrate conversational AI, and ensure security compliance in insurance processes.

As a Senior Platform Engineer, you will design, implement, and maintain data models and infrastructure while improving data quality and scalability. You'll collaborate across teams and mentor fellow engineers to enhance data usability and reliability.

The Principal DevOps Engineer at Liatrio will lead engineering delivery, enhance team morale, engage with clients as a trusted advisor, and oversee project execution while coaching team members.

The Staff Platform Engineer will lead the design and operation of ad-serving platforms, ensure reliability, and mentor teams while implementing automation and observability practices.

Implement, configure, and support Microsoft Power Platform solutions (Power Apps, Power Automate, Dataverse, Power BI) including integrations, migrations, testing, deployments, and client training. Collaborate with project teams to deliver projects on schedule, extend accelerators, build reusable components, and provide post-delivery support and adoption assistance.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.

Senior individual contributor owning integration architecture and API design across products. Defines API contracts, patterns, tooling, and governance; leads cross-team technical decisions; implements integration services; operates integrations on cloud (AWS preferred); mentors engineers and documents standards, RFCs, ADRs, and runbooks.

Design, develop, and deliver Dynamics 365 and Power Platform case management solutions. Gather technical requirements, build integrations and customizations, support data migration, create prototypes and demos, and drive high-quality implementations across discovery, build, test, and deploy phases while collaborating with clients and project teams.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

Lead architecture and engineering standards for Conversica's backend platform. Own integrations, data ingestion, messaging, orchestration, and data foundations. Drive cross-team initiatives, mentor engineers, improve reliability and performance, and ship production code across services like Campaign, Contact, and orchestration pipelines.

Design and build agentic data interfaces, MCP-compatible endpoints, and data agents enabling governed AI access. Implement retrieval, semantic search, metadata-driven discovery, policy enforcement, auditability, and production-grade, observable pipelines across SQL, documents, vectors, graphs, and APIs.

The Lead Process Engineer optimizes operating processes for the AXIS platform in the BFSI sector, engaging with various teams to ensure scalable and compliant workflows. Responsibilities include end-to-end documentation, automation-first process engineering, and enhancing client implementations while integrating risk and compliance controls.

Design, implement, and operate hybrid-cloud infrastructure and platform services. Automate infrastructure (IaC), manage Kubernetes (EKS and on-prem), provision distributed systems (Spark, Kafka, databases), build CI/CD pipelines, improve cloud governance/security, and collaborate with trading, development, and operations teams to maintain reliable production systems.

Build and maintain responsive Power Platform (canvas and model-driven) apps and Power Automate flows in a federal environment. Create PoCs/MVPs, integrate Dataverse and SharePoint, build connectors and gateways, participate in Scrum ceremonies, and validate solutions with stakeholders.

Responsible for the full software development lifecycle, collaborating with teams to design, develop, and maintain applications while mentoring others and ensuring engineering standards.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

The Senior/Staff Platform Engineer will improve platform reliability, performance, and scalability, operating infrastructure, managing incidents, and automating workflows while collaborating with engineering teams.

The Lead Data Platform Engineer will architect a centralized data platform on Databricks, focusing on data governance, performance optimization, and enabling data engineers. Responsibilities include designing data models, implementing ETL pipelines, and managing third-party integrations.

Design, implement, and maintain secure cloud platform services, CI/CD pipelines, and automation for development, test, and production. Support container orchestration, secrets management, observability, and operational readiness. Collaborate with development, security, and release teams to improve deployment efficiency, enforce DevSecOps controls, troubleshoot incidents, and maintain platform standards and documentation.

Design, deploy, and operate secure, scalable Azure environments. Build and maintain infrastructure as code, CI/CD pipelines, and networking/access controls. Ensure platform reliability, monitoring, governance, cost optimization, and disaster recovery while collaborating with engineering teams and maintaining documentation and standards.

Design, develop, and maintain Power Platform solutions (Canvas and Model-Driven) using Dataverse, Power Automate, plugins, and REST integrations. Collaborate with cross-functional teams, follow Agile SDLC, participate in code reviews and CI/CD, ensure accessibility, performance, and security compliance, and troubleshoot and document issues.

Build, operate, and automate the AI platform infrastructure on AWS. Own reliability, SLOs, monitoring, incident response, IaC, CI/CD, containerization, and deployment automation. Partner with AI and data teams to operationalize model serving, pipelines, and environment management while ensuring security, cost optimization, and scalability.