Top Platform Engineer Jobs in NYC, NY

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Develops Power Platform and Blazor Hybrid applications throughout the software development lifecycle. Translates business requirements into scalable Dataverse, Power Apps, Power Automate, .NET, C#, and MAUI solutions; builds REST integrations, authentication, security, automation, and data models. Provides technical guidance, documentation, presentations, and ongoing support while applying secure coding and AI-assisted development practices.

The Client Platform Engineer will manage endpoint solutions across various platforms, ensuring operational excellence, compliance, and optimal user experiences while implementing enterprise tools and automation processes.

Owns the Databricks platform across environments, including administration, architecture, identity and access, Unity Catalog, networking, security, governance, cost controls, automation, and CI/CD. Advises technical and business teams on scalable platform design, evaluates emerging Databricks capabilities, and partners with infrastructure and security teams. The role requires production Databricks expertise, Terraform proficiency, cloud networking knowledge, strong communication, and architectural judgment.

Own the architecture and technical direction of Metropolis Recognition Platform, spanning edge ingestion, identity resolution, real-time decisioning, notifications, and operator tools. Design scalable streaming pipelines, rules systems, privacy and consent models, observability, testing, and progressive delivery. Lead RFCs, cross-functional alignment, architectural reviews, mentorship, and production quality across application, computer vision, data, security, platform, and partner teams.

Build and evolve core platform components, including data modeling, integration testing, release tooling, internal developer tools, and reliable services. Architect systems, lead initiatives, mentor engineers, partner across teams, and improve scalability, performance, fault tolerance, observability, and production reliability. The role also involves developing AI-enabled developer tools and independently driving complex projects in a fast-paced startup environment.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Design and build a bespoke web platform and backend database for submitting, reviewing, publishing, browsing and analyzing climate-tech content. Implement submission portal with large-file support, review routing workflow, roles/permissions, secure login, and search (tagging or AI-assisted). Deliver QA, ongoing light support, and recommendations with cost estimates for future development and maintenance.

Build and support internal web applications, data workflows, and AI-assisted tooling. Responsibilities include Python and SQL development, frontend changes, performance optimization, data-quality investigation, system integrations, LLM tool interfaces, user support, account provisioning, deployments, monitoring, documentation, development environments, and automated testing.

Develops and implements Microsoft Power Platform solutions across discovery, design, development, testing, deployment, training, and support. Builds Canvas and Model-driven Power Apps, automates processes with Power Automate and UiPath, integrates data, designs Dataverse models, and supports SharePoint and Dynamics solutions. Serves as a Power Platform subject matter expert, collaborates with clients and project teams, creates technical documentation, manages governance standards, and resolves production issues.

Design, build, and manage highly available GCP platform infrastructure, including GKE, networking, storage, compute, containerization, monitoring, security, and Infrastructure as Code. Automate provisioning and CI/CD, optimize platform performance and costs, document procedures, troubleshoot issues, and mentor junior engineers. Collaborate with development, operations, and security teams to maintain scalable, secure, and compliant cloud environments.

Design and build a scalable Internal Developer Platform (IDP) using Kubernetes and cloud-native services, improve CI/CD and DX, enforce platform governance and security, lead MLOps/LLM infrastructure, mentor engineers, and align platform roadmap with product goals.

Own the architecture and evolution of Crucible, building deployment systems, developer tooling, services, and platform abstractions. Lead technical roadmap development, solve complex deployment challenges, improve production reliability and security, and eliminate recurring operational issues. Provide hands-on technical leadership through system design, coding, code review, documentation, and engineering standards while improving developer productivity, deployment speed, platform adoption, and customer deployment success.

Provides architectural guidance and technical leadership for Capital One’s decisioning platform. Designs scalable, resilient, multi-tenant workflow orchestration solutions; creates proofs of concept, writes and reviews code, develops low-level designs, and ensures engineering quality. Advises on performance, scalability, observability, and operability while mentoring engineers, product partners, and technical leaders. Establishes engineering excellence, improves developer experience, removes technical impediments, and supports multiple strategic projects.

Lead the architecture, technical strategy, and implementation of Squarespace’s large-scale Communications Platform for email, push, and in-product notifications. Provide hands-on Java development, drive modernization and reliability improvements, mentor engineers, conduct design and code reviews, identify systemic risks, and influence cross-team architecture decisions while balancing delivery with long-term platform health.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.

Operate and evolve a Kubernetes/CNCF platform, own multi-cloud (Azure/AWS/GCP) ops, implement IaC (Pulumi), manage regional data-residency architecture, improve reliability and cost via SLOs, observability, autoscaling, and lead on-call and incident response while partnering with SRE/Foundation teams.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

Develop and maintain Microsoft Power Platform solutions using Power Apps, Power Automate, Power Pages, Dataverse, Power BI, and relational databases. Translate business requirements into scalable technical designs, integrate Microsoft and Azure services, implement security and governance controls, support compliance and audits, and provide mentorship and knowledge transfer. Evaluate emerging capabilities such as Copilot Studio while collaborating with stakeholders, architects, project managers, and developers.

Lead end-to-end Microsoft Power Platform implementations including discovery, design, build, test, and deployment. Develop low-code solutions (Model-driven and Canvas apps), automate processes with Power Automate, create data visualizations, integrate data, maintain coding standards, produce design documentation, support production issues, and act as a Power Platform SME advising on architecture, security, and CoE governance while participating in Agile ceremonies.

Build and improve platform services, cloud infrastructure, CI/CD pipelines, monitoring, and developer tooling. The role involves writing and reviewing code, supporting deployments, improving scalability and reliability, participating in incident response, and collaborating with engineering teams. The engineer will use technologies such as AWS, Kubernetes, Docker, Terraform, Python, RabbitMQ, PostgreSQL, and Datadog while developing ownership of increasingly larger platform areas.