Platform Engineer

• Own the design and implementation of platform subsystems end to end, from technical design through production and ongoing improvement.
• Anchor meaningful projects, making the design tradeoffs that balance reliability, scalability, and time to market.
• Write production-ready code aligned with the overall system architecture, with observability, testing, and error handling built in.
• Produce clear design docs and work breakdowns that the team can plan and build against.
• Mentor SWE and SWE II engineers and contribute to a strong code review culture across the team.
• Contribute to technical decisions alongside technical leads, product, and engineering leadership on behalf of the team.
• Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work.

Senior Software Engineer – Platform

• Build and deliver features across the platform services that make up Stacklok Enterprise, including the runtime, Kubernetes operator, gateway, and registry
• Fix bugs and harden platform systems for enterprise production use, improving stability across customer deployments
• Write testable, readable code that accounts for edge cases and error handling, and produce clear design docs for the work you take on
• Review pull requests and contribute to design discussions, working alongside technical leads, product, and fellow engineers on shared platform efforts
• Plan and sequence your own tasks and small epics independently, knowing when to pull in a teammate or escalate a design question
• Contribute to the open-source ToolHive codebase and collaborate with community contributors on shared work.

Software Engineer II – Platform

• Own the end-to-end architecture of the Core Platform, including backend services, SDKs, AI-enabled components, and related infrastructure.
• Design and implement scalable APIs, event-driven systems, distributed services, and AI-integrated capabilities (including AI/ML and MCP integrations).
• Architect systems that reliably incorporate AI models into production environments, with strong attention to observability, latency, cost management, and failure handling.
• Lead API design and implementation with a focus on usability, performance, and long-term maintainability.
• Architect and evolve microservices using domain-driven design principles.
• Build platform abstractions and primitives that enable AI-driven workflows and agent-based capabilities.
• Partner closely with Product, Infra, and Customer Success teams to deliver seamless, customer-centric integration capabilities.
• Provide technical leadership, mentorship, and architectural guidance to engineers.
• Establish and elevate engineering best practices across design, development, testing, and operations.

Senior Platform Engineer

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Senior Lead AI Engineer, Gen AI Platform

• This Product Manager would be joining a team dedicated to building out and expanding operational data infrastructure, integrating machine learning models into our ecosystem, and working closely with partner teams to enable smarter segmentation and decisioning.
• Scope includes working with Enterprise platforms to identify new technology, patterns and data sources, business partners to identify the highest leverage areas for expanding capabilities, and with risk management to ensure our process works seamlessly end to end.
• Card Collections and Recoveries make up the Customer Resiliency team, and our product and business analyst teams share end-to-end ownership of the customer experience and drive meaningful P&L impact each quarter.

Manager, Product Management – Data Infrastructure

• Define and execute the enterprise Platform Engineering strategy supporting Consumer Products and Corporate Technology.
• Lead the evolution of engineering platforms that improve developer experience, platform consistency, scalability, and operational efficiency.
• Establish enterprise standards for platform architecture, engineering automation, and software delivery.
• Drive adoption of Internal Developer Platforms (IDPs), Infrastructure as Code, cloud platform engineering, Kubernetes, container platforms, release engineering, environment management, artifact repositories, secrets management, observability platforms, and platform networking.
• Build reusable engineering capabilities that enable product teams to deliver software securely and efficiently.
• Leadership, People Management, Budget & Vendor Management

Senior Director, Autonomous Platform Engineering

• Own the architecture, infrastructure, and developer tooling that every engineer at Rillet depends on - from CI/CD and deployment practices to the observability and operational efficiency that keeps us shipping fast and safely at scale.
• Build and champion the internal tooling and developer experience that makes engineers at Rillet faster than engineers anywhere else.
• Set technical direction for how we build reliability, security, and compliance into our systems from the ground up - including the design and scalability of our external API.
• Hire and develop high-caliber platform engineers across a growing surface area, establishing the culture and craft standards that define great platform work at Rillet.
• Partner with engineering leadership to define roadmap priorities and translate ambiguous problems into clear technical plans.

Engineering Manager – Platform Engineering

Senior Lead AI Engineer, MLX, Agentic AI, Gen AI Platform Services

• Build the tool surface an agent acts through, the retrieval and context layer that grounds it in the right clinical and operational data, the serving path product teams call to reach a model, and the evaluation that catches a regression before a customer does.
• Take over shared components that every team depends on, providing interfaces worth depending on, and clarify the seams between the legacy platform and the newer services.
• Enhance the messaging backbone; take the event bus the rest of the way, adding contract testing for service verification.

Senior Software Engineer, Platform

• Define and own the Data & BI platform strategy and multi-year roadmap, ensuring platform investments are aligned to the needs of federated AI and analytics teams across Pfizer
• Lead, develop, and grow a team of engineers and platform specialists across Platform Operations, Platform Development, and Data Reliability pods
• Establish and maintain product-minded ownership of the platform portfolio with roadmap priorities driven by user needs
• Own the vendor relationships and licensing strategy for the data and BI platform portfolio, including contract management, performance governance, and technology evaluation
• Partner with the Head of AI Ready Data to ensure platform infrastructure and data governance standards are tightly integrated
• Oversee the design, build, and operation of enterprise data pipelines, warehouse/lakehouse environments, and BI infrastructure at scale
• Define and publish platform SLAs covering availability, data freshness, query performance, and pipeline reliability
• Drive platform cost transparency and FinOps practices ensuring compute and storage costs are visible and continuously optimized
• Ensure all platforms meet Pfizer's enterprise security, privacy, and regulatory compliance requirements
• Serve as the primary platform interface for federated AI and analytics teams across Pfizer, embedding platform support and enabling self-service access
• Report regularly to the Chief AI and Data Officer on platform health, SLA performance, adoption metrics, and investment priorities

Head of Data, BI Platform Engineering

• Own the infrastructure layer for Pfizer's AI ambitions
• Manage the compute, LLM gateway, MLOps machinery, and observability platform
• Architect the AI workloads platform to support various Pfizer domains
• Build a governed, automated deployment pipeline for AI models
• Develop agent orchestration layer and observability infrastructure
• Monitor real-time usage and anomaly detection for AI systems
• Oversee MLOps platform, experiment tracking, model versioning, and deployment pipelines
• Ensure compliance with Trusted AI's governance policies

Head of AI – Agentic Platform Engineering

• Own and maintain Azure DevOps ALM pipelines for managed solution deployment
• Manage Power Platform connection references and service connections across environments
• Coordinate and execute solution releases across Dynamics 365 CRM environments
• Enforce branching standards and release governance practices across the D365 development workflow
• Run solutions through quality validation tooling prior to deployment
• Administer Power Platform environments, maintaining solution layer health and overall environment integrity
• Provide technical support for Power Platform and Dynamics 365 CRM platform issues
• Own the proactive monitoring of CRM platform health
• Support platform audit and compliance requirements
• Work closely with developers and business analysts to understand requirements

D365 Platform Engineer

• Own the technical roadmap for Platform Engineering.
• Architect, build, and operate highly scalable backend services using Ruby on Rails.
• Design and operate our Kubernetes infrastructure, cloud architecture, and deployment pipelines.
• Improve developer productivity through CI/CD, automation, internal tooling, and engineering best practices.
• Build and evolve the platform powering our AI products, including LLM orchestration, agent infrastructure, prompt management, evaluation pipelines, model routing, and AI observability.
• Own our billing platform, including subscriptions, licensing, payments, usage metering, invoicing, and Stripe integrations.
• Design and maintain secure, scalable integrations with HRIS platforms, identity providers, and enterprise customers using REST APIs, OAuth, SAML, SCIM, and webhooks.
• Build best-in-class observability through logging, metrics, tracing, alerting, and performance monitoring.
• Improve the scalability, security, reliability, and operational excellence of our platform.
• Lead architectural decisions that impact multiple engineering teams.
• Mentor engineers through technical leadership, design reviews, and engineering best practices.
• Diagnose and resolve complex production issues across infrastructure, applications, and distributed systems.
• Help establish and grow the Platform Engineering function as EasyLlama scales.

Staff Software Engineer – Platform

• Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results.
• Design and implement orchestration systems for agents interacting with the broader world.
• Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.
• Contribute across infrastructure, services, or frontend as the team and product evolve.

• Build and evolve the data pipelines that fetch, aggregate, and transform KPI data from BigQuery across multiple geographies and granularities
• Extend and maintain the statistical estimation library — implement new estimators, improve standard error methods, and optimize performance for large panel datasets
• Improve the Metaflow-based analysis orchestration system that schedules and executes thousands of daily experiment analyses on Kubernetes
• Design for reliability: build monitoring, alerting, and self-healing patterns for pipelines that run autonomously every day
• Collaborate closely with applied scientists to translate research prototypes into production-grade code with proper testing, error handling, and observability
• Work with product engineers to ensure analysis results are published correctly and flow cleanly into the customer-facing API and frontend
• Use AI development tools as part of your daily workflow to accelerate delivery and explore solutions
• Participate in on-call rotation and own the operational health of the science platform systems

Software Engineer – Science Platform, BE

• You'll own and play a pivotal role in the prototyping, development and scaling of systems and core AI platform primitives.
• You’ll partner closely with product teams to provide paved paths and production-ready guardrails that help new AI features ship faster with less duplicated work.
• You’ll work across infrastructure, shared libraries, APIs, and product integration points to make AI platform capabilities easy to adopt and high-leverage across Notion.
• You’ll operate critical AI systems in production, using observability and diagnostics to understand provider/model behavior, debug failures, improve latency and cost, and evolve systems with minimal user disruption.
• You’ll help Notion safely adopt new models, providers, and AI capabilities through versioning, controlled rollouts, compatibility layers, and clear quality/reliability gates.

Software Engineer, AI Platform

• Scale Unify to support hyper growth
• Drive technical roadmap with stakeholders
• Set standards for engineering excellence
• Evaluate & integrate new technology
• Mentor and lead engineers

• Ensure that Unify can scale to support our hyper growth and provide a stable platform for large scale customers such as Cursor, Perplexity and Decagon
• Collaborate with Product, Design, and GTM stakeholders to translate ambiguous business goals into a clear, phased engineering plan.
• Establish coding standards, CI/CD pipelines, testing strategy, reliability targets, and observability practices that future teams will inherit.
• Rapidly prototype with third-party APIs, databases, model-serving platforms, and infra vendors to accelerate customer value.
• Provide technical leadership for (and — if you’re up for it — manage) engineers across domains—pairing, reviewing, and unblocking as you go.

• Architect and drive the evolution of Kubernetes platform strategy across cloud and on-premises environments supporting mission-critical workloads at scale.
• Lead the design and implementation of platform capabilities that improve reliability, security, scalability, and developer productivity for hundreds of engineering teams.
• Partner with engineering, security, and product leaders to define multi-year platform roadmaps and drive execution of company-critical initiatives.
• Provide technical leadership during major incidents, architecture reviews, platform transformations, and strategic infrastructure investments.
• Mentor senior engineers and help raise the engineering bar through technical leadership, design reviews, operational excellence, and architectural guidance.

Principal Engineer – Platform Engineering

• Own the infrastructure and platform that power our marketplace
• Keep systems reliable, observable, secure, and easy to operate
• Manage cloud and cluster configuration with Terraform, Helm, and GitOps
• Ship through GitHub Actions and GitOps with automated build and test
• Perform SAST/DAST scanning and secrets management
• Own metrics, logs, and traces across various platforms
• Operate data systems such as PostgreSQL and MongoDB

Platform Engineer jobs in New York

See all jobs on JobTailor

Senior Software Engineer – Platform

Software Engineer II – Platform

Senior Platform Engineer

Senior Lead AI Engineer, Gen AI Platform

Manager, Product Management – Data Infrastructure

Senior Director, Autonomous Platform Engineering

Engineering Manager – Platform Engineering

Senior Lead AI Engineer, MLX, Agentic AI, Gen AI Platform Services

Senior Software Engineer, Platform

Head of Data, BI Platform Engineering

Head of AI – Agentic Platform Engineering

D365 Platform Engineer

Staff Software Engineer – Platform

Senior Software Engineer – Platform

Software Engineer – Science Platform, BE

Software Engineer, AI Platform

Staff Software Engineer – Platform

Senior Software Engineer – Platform

Principal Engineer – Platform Engineering

Platform Engineer