Top Infrastructure Engineer Jobs in Boston, MA

Automates, hardens, deploys, and upgrades Windows Server infrastructure in AWS GovCloud. Builds hardened AMIs, provisions EC2 instances, automates patching and compliance, manages phased upgrades and rollback, integrates infrastructure automation with CI/CD, and documents configurations and runbooks. Requires strong PowerShell, Windows administration, AWS, infrastructure-as-code, and DevSecOps experience, plus eligibility for Public Trust clearance.

Lead the architecture, development, and operation of cloud infrastructure for an AI-native legal platform. Own CI/CD, developer tooling, Kubernetes and containerized workloads, AI infrastructure, observability, security, compliance, reliability, scalability, and cost optimization. Partner with engineering and product teams, establish infrastructure standards, and hire and mentor future infrastructure engineers while ensuring sensitive legal data is handled securely.

Build and operate infrastructure and shared engineering services for internal teams and Tailscale’s product. Responsibilities include improving observability, CI/CD, cloud infrastructure, managed services, Kubernetes, and service automation; designing, testing, and documenting software components; participating in incident response; supporting customer escalations; and improving system efficiency, scalability, and stability.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Own Headway’s cloud platform and infrastructure engineering strategy. Lead deployment isolation, container orchestration, AWS networking and compute, autoscaling, capacity planning, Terraform self-service infrastructure, cloud cost attribution, and Python runtime performance. Build reliable paved-road tooling that enables engineering teams to deploy safely and independently while improving scalability, observability, and operational resilience.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Owns enterprise VDI platforms across Citrix, Azure Virtual Desktop, and Omnissa Horizon. Responsibilities include image and catalog lifecycle management, profile and session troubleshooting, access-layer administration, incident leadership, capacity planning, automation, root cause analysis, change management, project delivery, client communication, and mentoring. The role requires deep expertise in at least one VDI platform, Windows administration, underlying compute and networking, scripting, APIs, and multi-client managed services experience.

Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.

Build and operate scalable cloud, data, and AI infrastructure across AWS, GCP, and Azure. Develop Infrastructure as Code, CI/CD pipelines, self-service platforms, and secure containerized environments. Establish observability, monitoring, alerting, governance, compliance, and operational support practices. Drive platform architecture and technical standards, collaborate across teams, evaluate new technologies, document solutions, and mentor engineers. The role is fully remote with up to 10% travel.

Design and build software for global network infrastructure, including automation, orchestration, provisioning, device lifecycle management, telemetry, validation, and remediation. Integrate DPUs, SmartNICs, and programmable network infrastructure into scalable cloud systems. Establish architecture and technical direction, write RFCs and design documents, lead complex initiatives, mentor engineers, and collaborate across network, infrastructure, hardware, security, storage, and compute teams.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

Leads the planning, design, and engineering of enterprise cloud infrastructure and platforms. Serves as a subject matter expert, managing complex projects, developing technical solutions, influencing infrastructure practices, and coordinating across departments. Coaches and delegates work to junior professionals while providing direction on strategy, processes, and complex technical issues. Requires broad expertise across software, hardware, data structures, communications technology, and cloud deployment models, with at least eight years of functional experience.

Design, deploy, maintain, tune, and secure enterprise Linux environments supporting high-performance EDA compute farms. Lead infrastructure-as-code automation, configuration management, continuous deployment, and tooling development using Python, Bash, or Go. Manage LDAP/SSSD naming services, NFS and Autofs storage, virtualization, container infrastructure, registries, networking, and infrastructure telemetry. Support highly available, scalable systems and potentially integrate cloud platforms, CI/CD pipelines, EDA toolchains, and HPC clusters.

Build and maintain C++ backend services, workflow automation, factory software, data pipelines, databases, and machine integrations supporting digital manufacturing. Develop tools for scheduling, production execution, process data collection, and operator workflows. Own infrastructure including build systems, CI/CD, deployment, AWS resources, and developer tooling. Collaborate with manufacturing and process engineering teams to automate and scale factory operations.

Designs cloud architecture and Infrastructure as Code, builds CI/CD and DevSecOps pipelines, and deploys systems to AWS and air-gapped environments. Monitors services using OpenTelemetry, Sentry, and SigNoz; manages secrets and configuration; enforces CMMC compliance; and supports bare-metal infrastructure, networking, identity providers, and Kubernetes platforms.

Build and operate low-latency, event-sourced trading infrastructure for Coinbase’s institutional exchange, including matching engines, order management, risk, market data, and funding systems. Own reliability, correctness, incident response, and failover for high-throughput 24/7 production systems. Drive technical designs, collaborate cross-functionally on milestones, and write highly tested performance-critical backend code in Java, C++, or Go.

Build provenance infrastructure for scientific data and workflows, including schemas, metadata systems, Python libraries, APIs, and durable records of agent activity. Support reproducible ML, simulation, and drug discovery workflows while transforming research prototypes into scalable production services. Establish engineering practices for testing, packaging, CI, releases, and documentation across local, cloud, and GPU environments. Collaborate closely with scientists and platform teams on storage, compute, and orchestration systems.

Design, build, and operate core cloud-native infrastructure services for NVIDIA DGX Cloud. Develop scalable, secure microservices and automation for provisioning and lifecycle management, integrate internal and external platforms, and implement observability and security to ensure reliable, global production operations.

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Supports and optimizes enterprise IT infrastructure across cloud platforms, VMware virtualization, and Windows Server environments. Responsibilities include managing ESXi hosts and vCenter, configuring virtual machines and clusters, administering Active Directory and Group Policy, applying patches and security configurations, automating tasks, troubleshooting complex issues, documenting infrastructure in ServiceNow, and collaborating on scalable system integrations. The role includes after-hours support and participation in an on-call rotation.

Design, build, and operate Airbnb’s large-scale change data capture and batch export platforms. Improve reliability, performance, and efficiency across multi-tenant data infrastructure, collaborate with partner teams and internal customers, contribute to platform architecture, and participate in on-call operations. The role requires hands-on development, testing, debugging, and ownership of complex distributed systems supporting critical business functions.

Design and build data infrastructure automation, observability, health tooling, dashboards, and system improvements for large-scale object storage platforms. Lead technical designs and feature rollouts across services, improve fleet stability and throughput, automate hardware lifecycle processes, and partner with on-call teams to reduce operational toil and incidents.

Develop and operate Airbnb’s large-scale cloud infrastructure platform, including Kubernetes, developer APIs and CLIs, autoscaling, capacity management, and cloud automation. Build secure, reliable, scalable, and highly available distributed systems using public cloud technologies. Optimize existing infrastructure, improve performance and operational efficiency, troubleshoot production systems, and collaborate across engineering teams and open-source communities.

Design, build, and maintain Infrastructure-as-Code and automation for hybrid cloud and bare-metal environments. Develop Terraform modules, Ansible roles, Spacelift pipelines, and provisioning workflows for Windows/Linux, VMware, AWS and Alibaba Cloud. Automate bare-metal OS deployment, imaging, patching, and lifecycle management; implement validation, drift detection, and change controls; collaborate with infrastructure, security, and application teams to standardize self-service provisioning and improve operational reliability and auditability.