Top Infrastructure Engineer Jobs in NYC, NY

Own AWS infrastructure, platform evolution, infrastructure as code, container foundations, CI/CD, observability, and reliability practices. Lead incident response, define SLIs and SLOs, improve developer environments, design resilient distributed systems, automate operational work, mentor engineers, and influence infrastructure decisions across the organization.

Infrastructure Engineering Interns help build and automate Arcesium’s cloud-based SaaS infrastructure. Responsibilities include supporting Linux and cloud systems, contributing to AWS, Kubernetes, Docker, SRE, CI automation, developer experience, secrets management, and application-infrastructure integration. Interns collaborate with experienced engineers on infrastructure projects while developing software and systems engineering skills.

Maintains and improves global on-premises and cloud infrastructure across servers, storage, networking, virtualization, backup, disaster recovery, and monitoring. Provides third-line support, troubleshoots complex incidents, performs patching and configuration management, supports Azure services, manages identity platforms, and contributes to infrastructure upgrades, migrations, and modernization projects. The role also handles documentation, automation, change management, disaster recovery testing, and regional site or datacenter work.

Build and maintain cloud infrastructure supporting large-scale scientific testing. Automate build, deployment, and testing workflows using infrastructure-as-code and continuous integration tools, migrate legacy infrastructure, and provide a stable platform for scientific software developers. The role requires at least two years of infrastructure development experience, AWS expertise, Linux familiarity, strong automation skills, and effective communication.

Build and operate scalable data infrastructure for personalized recommendations and music discovery. Responsibilities include streaming and batch pipelines, feature computation and serving, event logging, workflow orchestration, observability, data quality, and infrastructure as code across AWS and Snowflake. The role owns architecture and reliability, partners with ML, data, and product teams, leads technical design, and mentors engineers.

Designs, deploys, migrates, secures, and operates production Azure infrastructure across hybrid VMware and Windows environments. Responsibilities include Azure networking, platform services, disaster recovery, migrations, Terraform automation, Azure DevOps pipelines, identity and governance, monitoring, cost management, troubleshooting, and compliance. The engineer supports application platforms including AKS, App Services, databases, and integrations while participating in incident response, change management, on-call duties, and occasional after-hours cutovers.

Owns infrastructure, deployment, reliability, and observability for multi-cloud AI systems and autonomous agents. Responsibilities include Terraform-based infrastructure across AWS, Azure, and GCP; managed Kubernetes; incident response; SLOs; on-call operations; compliance automation for HIPAA and SOC 2; customer environment provisioning; and developer deployment platforms. The role also operates observability tooling and supports production AI, inference, and research-to-production workflows.

Build, automate, and operate scalable AWS infrastructure, including networking, compute, CI/CD, databases, and observability. Develop internal tools and self-service platforms, manage infrastructure with Terraform, collaborate with engineering teams, participate in on-call rotations, and replace repetitive operational work with software and permanent incident fixes.

Owns production infrastructure across Kubernetes, CI/CD, Linux systems, virtual machines, and AI accelerator environments. Responsibilities include incident response, troubleshooting, automation, monitoring, alerting, patching, upgrades, certificate renewals, capacity checks, runbook development, and on-call support. The engineer collaborates across IT and product software teams and contributes to infrastructure design and build work.

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

Build services, APIs, and pipelines for an infrastructure design model; ship generative automation for layouts, routings, and configs; integrate CAD/BIM/PLM toolchains; manage model data at scale including versioning, validation, and queryability; work closely with engineering users and vendor APIs.

Design, build, maintain, and support resilient Linux infrastructure for algorithmic trading. Evaluate and maintain specialized hardware such as FPGAs, including drivers, firmware, vendor coordination, and security patching. Automate infrastructure using Python and modern engineering practices, troubleshoot Linux and network issues, and provide lifecycle ownership. Serve as a subject matter expert, lead infrastructure improvements, mentor engineers, and provide technical direction to system administrators and SREs.

Designs, engineers, and supports secure, scalable Microsoft Azure infrastructure. Leads cloud network, identity, data protection, security, and modernization decisions while using Infrastructure-as-Code and cloud governance practices. Partners with engineering and security teams to deliver reliable, resilient, and cost-efficient environments. Responsibilities include IAM and RBAC, troubleshooting, root cause analysis, documentation, architecture diagramming, and evaluating emerging AI platforms and integrations.

Designs, automates, and supports server hardware infrastructure across its lifecycle, including provisioning, firmware management, monitoring, qualification, deployment, troubleshooting, and decommissioning. The role performs hardware and firmware root-cause analysis, manages vendor and OEM relationships, supports data center expansion, participates in on-call escalations, and improves reliability through automation, telemetry, documentation, and operational tooling.

Design and build high-throughput, low-latency market data infrastructure in modern C++ for global equities, futures, and options venues. Develop reusable libraries for market data decoding, normalization, publishing, and consumption; collaborate with quantitative researchers; troubleshoot production issues; and maintain reliable 24/7 systems. The role requires strong concurrency, lock-free algorithm, memory-model, compiler optimization, serialization, and Python scripting expertise.

Design, build, and maintain cloud-hosted SaaS platforms and deployment artifacts. Own Helm charts, containers, IaC, CI/CD pipelines, and serverless components. Ensure scalable, secure Kubernetes/OpenShift deployments, monitor performance, troubleshoot production issues, and collaborate with platform, security, and infrastructure teams.

Develop and configure ServiceNow applications, user interfaces, workflows, integrations, and full-stack web features. Translate requirements into functional solutions, collaborate with implementation teams in an Agile/Scrum environment, support user acceptance testing, participate in Scrum meetings, and provide ongoing technical support and status updates.

Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.

Supports enterprise infrastructure, integration applications, and Java-based systems across Linux and Windows environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, automation with Python, shell scripting, Ansible, and AWX, SQL and database troubleshooting, CI/CD support, application observability, ServiceNow management, documentation, and collaboration with infrastructure, application, database, network, and integration teams.

Owns the design, administration, security, modernization, and recovery of Liquidia’s hybrid IT infrastructure across Azure, servers, virtualization, storage, and enterprise networks. Provides hands-on engineering, roadmap development, disaster recovery, patching, automation, vendor direction, documentation, and onsite support for manufacturing and laboratory systems. Ensures infrastructure complies with SOX, GxP, and 21 CFR Part 11 requirements while coordinating qualification, validation, change control, and infrastructure improvement initiatives.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Administer and support enterprise middleware infrastructure for HR, benefits, timekeeping, and other critical applications. Install, configure, maintain, upgrade, patch, automate, and troubleshoot WebSphere, MQ, Cognos, and related platforms across Linux or UNIX environments. Manage deployments, source control, root-cause analysis, production incidents, documentation, and collaboration with technical teams while supporting large-scale environments and occasional 24x7 operations.

Manage and scale AWS infrastructure and Ruby on Rails applications; improve reliability, performance, observability, and automation. Responsibilities include Infrastructure as Code, Kubernetes operations, monitoring, code review, production debugging, capacity planning, incident response, and partnering with feature engineering teams to deploy and operate services safely.

Design and build Temporal Cloud’s multi-cloud infrastructure platform across AWS, GCP, and Azure. Own platform architecture, declarative infrastructure modeling, Kubernetes reconciliation, deployment control planes, reliability, recovery, and safe production rollouts. Lead system design, roadmap development, incident response, technical reviews, coaching, hiring, and cross-team collaboration while continuing to write production code in Go or another systems language.

Build automation for NVIDIA switches and InfiniBand fabrics, including configuration management, drift reconciliation, NAT gateways, L4 load balancing, and resilient network control loops. Define large-scale network behavior around BGP, convergence, failover, and production failures. Lead technical direction, design standards, and customer deployments while writing production software in Go or Python for AI infrastructure.