Top Infrastructure Engineer Jobs in Boston, MA

Designs, deploys, and operates infrastructure across AWS, Azure, and Microsoft 365/Entra ID. Builds Terraform modules, Go and Python services, CI/CD pipelines, integrations, and automations. Maintains cloud environments, monitors service health, responds to incidents, troubleshoots networks, manages configuration promotion, and supports AI services. The role also provides mentorship, documentation, process improvement, internal customer support, and infrastructure change management.

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.

Designs, deploys, maintains, and troubleshoots resilient infrastructure supporting Oracle Utilities software for clients. Responsibilities include Linux server configuration, networking, firewalls, VPNs, hardware and software tuning, connectivity troubleshooting, root-cause analysis, process improvement, metrics, client communication, technical support, and on-call incident response. Preferred work includes WebLogic administration, virtualization, backup systems, Oracle Database administration, Active Directory, DNS, and Microsoft Office support. The role is remote within the United States with occasional travel for go-lives, incidents, and data center work.

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.

Lead technical strategy and delivery for mobile app infrastructure, owning shared components (design system, networking, CI/CD, observability, releases, tooling). Collaborate cross-functionally, set code/design standards, ensure operational readiness and on-call processes, mentor engineers, and drive large, business-impacting projects and migrations across the JS↔native boundary.

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

Operate, maintain, and improve secure, highly available server, network, and middleware infrastructure. Install, configure, monitor, troubleshoot, automate, and document systems; support on-call rotation and disaster recovery; manage job schedulers and vendor relationships; plan capacity and upgrades; mentor junior staff and support multi-cloud workloads.

The role involves managing data collection for AI model training at Speechify, optimizing ingestion pipelines on cloud infrastructure, and collaborating with scientists to enhance data quality and scalability.

Design, deploy, operate, and automate reliable large-scale EDA infrastructure services on NVIDIA hardware. Build tools that reduce manual work, support distributed private and public cloud systems, define service-level objectives, improve observability, and participate in incident response and on-call rotations. The role also provides systems-design guidance to peer teams and may involve Kubernetes, OpenStack, Docker, Slurm, multi-cloud infrastructure, networking, storage, and GPU-based systems.

Lead the architecture and lifecycle of a scalable, secure, multi-cloud infrastructure platform. Standardize AWS and GCP environments through modular Terraform, manage ECS, Lambda, Snowflake, and integrations, implement IAM and OAuth authorization models, and build self-service tooling for engineering and non-engineering teams. Establish CI/CD best practices, improve operational reliability, and enable safe, governed application development across the organization.

Design and operate large-scale infrastructure supporting GPU- and CPU-based EDA workloads. Build automation for provisioning, configuration, deployment, lifecycle management, monitoring, health remediation, cluster enrollment, and recovery across Linux compute fleets. Integrate services with schedulers, infrastructure systems, and observability platforms. Participate in incident response, root-cause analysis, capacity planning, and reliability improvements while collaborating with EDA, networking, storage, and hardware teams.

Design, implement, and operate scalable AWS and Kubernetes infrastructure using Terraform and automation. Improve CI/CD, observability, security posture, and developer experience; troubleshoot production incidents, maintain runbooks, and support customer-managed deployments.

Lead technical strategy for production database and storage systems, architect and implement cloud database/storage solutions (self-managed and AWS managed), drive reliability, observability, scalability, security, lead incident response and DR drills, mentor engineers, participate in on-call rotation, and collaborate with cross-functional teams and senior leadership.

Lead a team to design, deploy, and harden cloud and containerized platforms for Command & Control systems across enterprise datacenters, tactical edge, and cloud. Build/operate production Kubernetes clusters, CI/CD/GitOps pipelines, IaC, observability stacks, and secure/air-gapped DDIL deployments while ensuring mission reliability and compliance.

The intern will join the Design Verification Infrastructure team to develop and maintain the Verification Platform, enhancing design verification technologies through collaboration and software development in Scala and Python.

The Software Engineer, Infrastructure will design, build, and operate core platform services while ensuring reliability, security, and efficiency through collaboration with various teams and improving developer experience.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Seeking a senior or staff level infrastructure engineer to build and maintain scalable infrastructure for AI software development, including app hosting and SDK integration.

The Infrastructure Engineer is responsible for building and maintaining deployment automation, CI/CD pipelines, and ensuring the operational health of production deployments across federal environments, focusing on automation and compliance.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

Design, build, and maintain internal infrastructure and shared engineering services. Improve observability, CI/CD, and automation, operate cloud-managed services and VMs, participate in incident response, and collaborate with product and customer-facing teams to enable data-driven decisions and scalable systems.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

Design, deploy, and manage scalable, secure cloud infrastructure. Implement networking, VMs, IaC, and configuration management. Integrate Azure infrastructure into CI/CD pipelines, automate provisioning with DevOps/GitHub Actions, and enforce security/compliance with security teams. Provide Windows Server administration and support enterprise cloud initiatives.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.