Top Remote Platform Engineer Jobs

The Software Engineer for the Platform team will design, develop, and maintain backend services, focusing on APIs for payments, analytics, and subscriptions, while collaborating with cross-functional teams to enhance user experiences.

The Software Engineer will design, develop, and maintain APIs, oversee backend architecture, and collaborate with teams to meet business needs and enhance user experience.

The role involves designing, developing, and maintaining robust APIs and overseeing backend API landscapes while collaborating with cross-functional teams for enterprise solutions.

As a Software Engineer on the Platform team, you will design and maintain backend services, optimizing APIs, working collaboratively for product enhancement, and focusing on user experiences.

The Software Engineer, Platform will design, develop, and maintain backend APIs, manage performance, collaborate with cross-functional teams, and enhance B2B solutions in a fully distributed setting.

The role involves designing, developing, and maintaining backend APIs, optimizing performance and collaborating with cross-functional teams to enhance user experience. It requires proven backend development experience and knowledge of cloud services.

The Software Engineer, Platform will design, develop, and maintain backend services, including APIs for various functions like payments and analytics, while collaborating with cross-functional teams to align backend architecture with product strategy.

The Software Engineer will design, develop, and maintain backend services including APIs, optimize performance, and collaborate on B2B solutions.

As a Software Engineer in the Platform team, you will design, develop, and maintain backend services and APIs, ensuring they meet scalability requirements and align with product strategy.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.

Lead design and implementation of the Tax platform: build scalable, fault-tolerant systems, improve extensibility, mentor engineers, drive technical strategy and roadmap, collaborate cross-functionally, improve reliability/incident response, and build AI guardrails to safely leverage agentic LLMs for tax compliance.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Provides hands-on technical leadership for Pantheon’s P1 zero-to-one product and company-wide engineering strategy. Owns architecture across real-time collaboration, APIs, data, publishing, integrations, and developer experience; establishes reliability, security, observability, and delivery standards; guides build-versus-buy decisions; mentors senior engineers; partners with product, design, security, infrastructure, and customers; and contributes code to validate architecture and unblock critical initiatives.

Own the architecture and development of critical backend and cloud platform domains. Design scalable, secure, multi-tenant distributed systems on AWS, including event-driven services, APIs, data models, and AI/ML infrastructure. Lead major initiatives from design through release, align cross-functional stakeholders, establish engineering standards, mentor engineers, and drive reliability, observability, security, and cost-efficiency improvements.

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.

Own Alkira’s global platform infrastructure, including Kubernetes clusters, CI/CD systems, shared databases and storage, service lifecycle, disaster recovery, Terraform modules, observability, and production tooling in Go or Python. Drive architectural decisions, cost reduction, reliability, security, and multi-team platform adoption while mentoring engineers and participating in on-call support.

Design and build shared backend services, APIs, distributed primitives, and developer tooling used by engineering teams. Own complex platform capabilities from architecture through production support, troubleshoot Linux-based environments, improve scalability and reliability, and participate in on-call rotations. Mentor engineers through code reviews and technical guidance while developing cloud-native microservices with Golang, gRPC, and Protobuf.

Design, implement, and operate large-scale observability and telemetry platforms focused on performance, reliability, monitoring, logging, and alerting. Manage services throughout their lifecycle, including system design, deployment, capacity planning, automation, incident response, and postmortems. Build infrastructure tools and frameworks for private and public cloud systems, improve availability and latency, and participate in on-call support for production environments.

Design and own Felix’s Internal Developer Platform, including scalable Kubernetes and cloud infrastructure, CI/CD pipelines, developer portals, observability, security, cost optimization, and infrastructure-as-code standards. Build MLOps and LLM deployment infrastructure, establish platform strategy, mentor engineers, advocate best practices, manage technical roadmaps, and align platform capabilities with product and engineering objectives.

Design and own Felix’s Internal Developer Platform, building scalable Kubernetes and cloud infrastructure, CI/CD pipelines, developer portals, observability, security, and cost controls. Lead infrastructure-as-code standards, MLOps and LLM deployment infrastructure, platform governance, and long-term technical roadmaps. Mentor engineers, advocate for platform best practices, and collaborate with product and engineering leadership to align infrastructure automation with business goals.

Design and own Felix’s Internal Developer Platform, including scalable Kubernetes and cloud infrastructure, CI/CD, developer portals, observability, security, cost optimization, infrastructure-as-code standards, and MLOps/LLM deployment pipelines. Provide technical leadership, mentorship, architectural guidance, roadmap ownership, and cross-functional alignment to improve developer experience, reliability, automation, and engineering velocity.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

Leads architecture and hands-on development of a cloud-native AWS platform using React, TypeScript, and backend APIs. Establishes platform-wide engineering standards, designs integrations across domain services, drives scalability, security, observability, automated testing, and performance, and mentors engineers across multiple teams. The role also leads technical strategy, cross-team planning, code and design reviews, reliability initiatives, and communication with senior stakeholders.

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.