Top Senior Platform Engineer Jobs in NYC, NY

Administer multi-tenant Kubernetes platforms, manage application deployments, troubleshoot incidents, and ensure system reliability while collaborating with development teams.

Design, build, and operate high-availability platform and DevOps tooling to support AI-driven agentic solutions and internal platforms. Collaborate with product owners, Agile teams, and cross-functional stakeholders to improve engineering practices, scalability, resilience, and automation using cloud, container, scripting, and infrastructure-as-code technologies. Mentor peers and drive innovation.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

The Site Reliability Engineer will automate tasks, enhance platform infrastructure, improve observability, and lead incident response efforts for optimal performance.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

Lead design, development, deployment, and support of scalable GenAI platform components (foundation model training, LLM inference, vector search, guardrails, evaluation, observability). Optimize training and inference performance, contribute to technical vision and roadmap, and partner with cross-functional teams to deliver responsible, production-grade AI systems.

The Senior Software Engineer will deploy new Synthetics locations, develop tooling for management, automate migrations, and support architecture decisions for Synthetics products on cloud infrastructure.

Lead and maintain platform infrastructure and DevOps tools, manage Google Workspace, troubleshoot user issues, monitor performance and security, automate operations using Python/Bash, container orchestration (Docker, ECS), and CM tools (Ansible, Terraform), collaborate with Architecture and Software teams to ensure platform availability, resilience, scalability, and improved user experience.

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.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

The Senior Software Engineer will design and build platform systems, enhance tools for engineers, and leverage AI to improve workflows.

Design and build production-grade backend services and APIs for contact center systems using serverless patterns on AWS. Implement observability, data pipelines, AI-enabled automation, and migration tooling to modernize telephony workflows and improve agent and customer experiences.

Lead backend engineering for CrowdStrike's Asset Platform building cloud-native, microservice distributed systems at scale. Design and ship production code, optimize scalability, concurrency and performance, mentor engineers, collaborate across teams, apply engineering best practices and leverage AI to improve decision-making and workflows.

Lead design and delivery of large, ambiguous frontend and platform initiatives. Shape frontend architecture, standards, and shared patterns; build shared foundations and customer-facing surfaces; improve developer experience, reliability, and performance; partner with design and product; and apply AI-enabled workflows to boost engineering leverage and quality.

Build, operate, and automate Braze’s internal Infrastructure-as-a-Service and large-scale background processing frameworks. Collaborate with product teams to design scalable, observable systems, improve reliability via automation, and own scaling, failure modes, and operational safety. Implement tooling for capacity management, observability, and developer ergonomics. Participate in on-call rotation, incident response, and post-incident retrospectives to drive continuous improvement.

Own and harden core platform infrastructure on GCP, build and maintain CI/CD and IaC, unify logging and observability, enforce network and environment isolation, improve developer productivity and tooling, and help define platform engineering direction and culture.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Lead a team to design and build AI-native engineering harnesses and agentic workflow orchestration for governed model use. Implement typed contracts, observability, CI/CD integration, evaluation gates, developer tooling, and cloud-native services to enable secure, auditable, and repeatable AI-assisted software delivery across the enterprise.

Lead Developer Relations for Rockstar's Creator Platform, managing community outreach, strengthening creator engagement, and collaborating with product teams for community feedback integration.

Define and scale reliability practices across the company by creating SLO/SLA frameworks, improving observability, evolving incident response, building self-service tooling and scorecards, and driving cross-team adoption to enable teams to build and operate reliable production systems at scale.

Build, operate, and improve software delivery and developer infrastructure for large-scale C++ and Python applications. Design and run CI/CD pipelines, build systems, artifact management, infrastructure automation, observability, containerized workflows, and developer self-service tooling. Partner with engineers, SRE, and global platform teams to improve performance, reliability, security, and developer productivity.

Design and build a proto-driven code-generation pipeline to emit Go SDKs, CLI commands, and Terraform resources. Own API service framework components end-to-end, enforce API standards, collaborate with teams on API design, improve developer experience, and mentor engineers.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.