Top Platform Engineer Jobs in NYC, NY

Build and improve AWS cloud infrastructure, CI/CD pipelines, Terraform-managed environments, and containerized applications on ECS Fargate. Lead architecture and deployment reviews, automate reliable application delivery, troubleshoot incidents, perform root cause analysis, and implement monitoring, logging, security, and compliance controls. Collaborate with application, IT, business, and vendor teams while modernizing legacy applications and developing platform engineering capabilities.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Design and evolve reliable edge computing systems connecting cameras, sensors, deployed hardware, and cloud infrastructure. Responsibilities include architecture, distributed systems, diagnostic tooling, remote troubleshooting, sensor-fusion problems, code reviews, technical design discussions, and mentoring engineers. The role requires hands-on systems expertise across Linux, networking, hardware, and software, with ownership of ambiguous technical initiatives from conception through delivery.

Build and evolve Notion’s Developer Platform, including APIs, MCP tools, integration infrastructure, and internal platform capabilities. Partner with product, design, data science, and research teams to define strategy and deliver reliable, scalable features. Own production software end to end, improve platform performance and robustness, and drive high-leverage technical investments. Help developers and customers create integrations, automations, and connected workflows.

Designs and owns shared test automation frameworks and scalable test execution infrastructure across web, mobile, and backend services. Builds tooling for test environments, test data, parallel execution, flaky-test detection, and infrastructure monitoring. Partners with engineering teams to improve test coverage and quality practices, reduces feedback-loop friction, and documents testing best practices. The role requires strong automation architecture, cloud-native infrastructure, cross-stack testing, and collaborative influence.

Design, develop, and maintain secure Microsoft Power Platform solutions for federal and DoD customers. Build Canvas and Model-Driven Power Apps, Power Automate workflows, Dataverse data models, Power BI reports, integrations, and automated deployments. Support ALM, ETL, troubleshooting, documentation, security, and performance. Gather requirements and collaborate with technical and program stakeholders while following federal security and configuration-management practices.

Leads end-to-end development of Microsoft Power Platform solutions in regulated federal environments. Designs Power Apps, Power Automate workflows, Power BI models, Dataverse architectures, security roles, integrations, and RPA solutions. Partners with federal stakeholders to gather requirements, present technical solutions, and document system architectures. The role requires Power Platform experience in GCC High, IL5, GovCloud, or comparable environments, plus eligibility for a Secret clearance.

Hands-on technical lead designing, building, and optimizing high-performance Linux compute platforms for low-latency electronic trading. Responsibilities include kernel- and hardware-level performance tuning, containerization, IaC and CI/CD design, automation and tooling development, vendor interfacing, AI-assisted engineering governance, and mentoring cross-functional engineering teams to deliver reliable, low-latency infrastructure.

As a Platform Engineer, you will build scalable systems, enhance performance, mentor junior engineers, and lead system design initiatives, focusing on efficient document processing.

Build, automate, and support cloud infrastructure for enterprise applications. Develop infrastructure-as-code solutions, standardized platform patterns, and self-service capabilities. Use AWS, containerization, observability, and automation tools to improve reliability, scalability, deployments, and developer experience while collaborating with engineering and platform teams.

Design, build, and operate cloud-native platform services and distributed systems to support research, AI, and data-intensive workloads. Create abstractions, APIs, and automation for cloud resource management; manage large-scale compute, storage, and networking; improve observability, performance, and resiliency; collaborate with researchers to deliver scalable production systems.

Build and design MongoDB Atlas features and distributed backend systems. Lead complex technical projects, collaborate with product, design, customers, and support engineers, resolve production issues, improve engineering practices, and mentor teammates. The role focuses on foundational orchestration and control-plane infrastructure that operates MongoDB clusters reliably across cloud environments.

Lead critical infrastructure platform initiatives enabling engineering teams to build, deploy, and operate products consistently. Responsibilities include developing multi-account and multi-region Kubernetes clusters, MLOps capabilities, standardized deployment systems, and company-wide authentication. The role also involves automating engineering workflows, improving developer experience, prioritizing shared platform initiatives with stakeholders, driving platform adoption, and mentoring team members.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

As a Software Engineer on the Compute team, you will build and optimize systems for data processing, SQL querying, and improve the performance of code execution. You will tackle complex engineering challenges spanning backend data systems to frontend applications, ensuring efficiency and usability.

Lead enterprise deployment, governance, and operations for Microsoft Copilot and Power Platform across M365. Manage tenant controls, licensing/credit governance, AI risk/compliance, Microsoft vendor relationships, SharePoint/OneDrive content readiness, and analytics/reporting. Partner with architects, Security, Legal, Procurement, and business stakeholders to ensure secure, compliant, and adopted AI platform operations.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Develops and supports Microsoft Power Platform, Power Apps, Power Pages, Dynamics 365, Dataverse, Power Automate, and Power BI solutions. Responsibilities include creating plugins and customizations, building integrations and data models, implementing security and governance, managing ALM, developing JavaScript and PCF controls, supporting migrations, testing, troubleshooting, monitoring, disaster recovery, and operational improvements. Collaborates with analysts, architects, stakeholders, project managers, and vendors to deliver secure, scalable business applications.

Own and evolve Fanatics’ production PostgreSQL/RDS databases and Kafka/MSK streaming platform. Responsibilities include query and schema review, performance tuning, incident response, GitOps-based topic management, CDC pipeline reliability, self-service infrastructure tooling, upgrades, capacity and cost optimization, and cross-team infrastructure standards. The role serves as a technical escalation point, partners with product engineering teams, mentors engineers, and participates in on-call rotations.

Design, build, and maintain scalable Salesforce Apex solutions supporting Sales and Customer Experience teams. Use AI coding assistants throughout development, apply Salesforce architecture and release-management practices, deploy with sf CLI, and build reliable production systems at scale. Improve deployed features, measure impact, document code, and contribute beyond Salesforce when needed. Translate ambiguous requirements into scalable technical solutions and business value.

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.

Design, administer, optimize, and govern an enterprise Databricks Lakehouse Platform. Responsibilities include managing workspaces, Unity Catalog, compute, workflows, data pipelines, security controls, observability, performance, cost optimization, CI/CD, infrastructure automation, disaster recovery, and platform upgrades. The role also supports audits, compliance, troubleshooting, documentation, technical standards, and mentorship while integrating Databricks with enterprise data, business intelligence, and AI/ML environments.

Build and own foundational Android platform infrastructure, shared libraries, architecture, observability, performance tooling, and developer workflows. Lead cross-organizational technical initiatives, integrate AI-assisted development practices and tools, establish engineering standards, mentor engineers, and collaborate across mobile, web, backend, product, and design teams.

Build and own foundational Android platform infrastructure, shared libraries, frameworks, architecture, observability, and performance tooling used across Cash App. Lead cross-organizational technical initiatives, promote AI-native engineering practices, evaluate AI development tools, mentor engineers, and collaborate across Android, iOS, web, backend, product, and design teams.

Design and launch Anthropic’s global corporate mobile device program across iOS and Android. Own device standards, procurement logistics, enrollment, configuration-as-code, compliance, lifecycle automation, telemetry, managed app distribution, and BYOD boundaries. Build infrastructure using MDM/UEM platforms, cloud services, Terraform, GitOps, and CI. Partner with Corporate Security on device trust and travel devices while driving progressive, telemetry-gated fleet rollouts.