Top Infrastructure Engineer Jobs in Boston, MA

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 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.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

Own infrastructure, deployment, operational tooling, observability, deploy safety, and incident response for latency-sensitive institutional trading systems across cloud and colocated environments. Improve reliability, performance, and developer velocity; reduce single points of failure; establish operational standards and automation; partner with engineering, product, markets, and SRE; and mentor engineers in a 24/7 production environment.

Design, build, and run secure production infrastructure across cloud-native and air-gapped deployments. Own end-to-end platform outcomes, harden the artifact pipeline for signed releases, embed with teams to advise on security and deployment best practices, and partner with GRC on STIGs, CVE remediation, and audit readiness for classified environments.

Build, operate, and secure cloud-native and edge infrastructure including Kubernetes, artifact pipelines, application streaming, and air-gapped appliances. Partner with product, GRC, and mission owners to design, deploy, and harden systems, remediate vulnerabilities, support audits (IL5/IL6/JWICS), and ensure trusted artifact delivery across environments.

Leads the design, automation, operation, and scaling of infrastructure across on-premises data centers, GCP, and AWS. Responsibilities include infrastructure as code, configuration management, networking, load balancing, DNS, monitoring, observability, distributed systems administration, documentation, technical direction, project leadership, and mentoring. The role requires deep Linux, hardware, networking, cloud, storage, backup, and Python automation expertise.

Design, build, and operate secure cloud-native and edge infrastructure for classified and commercial environments. Own end-to-end platform outcomes, harden artifact pipelines for signed builds across cloud and air-gapped deployments, embed with product teams to advise on secure deployments, and support compliance/audit activities (STIGs, CVE remediation) to enable operation in IL5/IL6/JWICS environments.

Designs, develops, and operates Kubernetes clusters on AWS while improving platform scalability, resilience, security, deployment safety, and release velocity. The role advances CI/CD, developer productivity tooling, infrastructure automation, and secure-by-default practices. Responsibilities include incident response, root cause analysis, roadmap planning, cross-functional collaboration, technical leadership, mentoring, and operating complex production infrastructure.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform. Manage IAM, access controls, CI/CD automation, monitoring, backups, logging, compliance guardrails, and reliability tooling. Collaborate across platform, product, and data science teams, troubleshoot distributed systems, participate in incident response and audits, and improve platform reliability, performance, cost efficiency, and developer experience.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

The Senior Infrastructure Engineer will improve system reliability and efficiency, develop standards and tooling, and collaborate with engineering teams to optimize workflows and cloud infrastructure.

Lead the design, automation, and scaling of global compute infrastructure across data centers, cloud, and on-prem. Operate GitOps with Rancher Fleet/Flux/Helm, build self-healing tooling, own cluster autoscaling and capacity strategy, define SLOs using Datadog, and participate in on-call rotation while mentoring peers.

Design, deploy, and harden containerized C2 platform infrastructure across enterprise datacenters, tactical edge, and cloud. Lead a team to implement Kubernetes at scale, GitOps/CI/CD pipelines, IaC, observability, security hardening for air-gapped/DDIL environments, and ensure mission-resilient automated platforms.

Build and operate AI infrastructure systems, including telemetry pipelines, observability dashboards, incident-management automation, hardware and software catalogs, service ownership data models, and self-service discovery tools. Lead cross-functional infrastructure initiatives and develop AI-assisted operational tooling. The role requires production software and infrastructure expertise, programming experience, and the ability to improve reliability, visibility, incident response, and operational efficiency across NVIDIA GPU cloud environments.

Designs, deploys, operates, and secures production-scale Kubernetes platforms and infrastructure for mission-critical C2 systems across enterprise, cloud, tactical-edge, air-gapped, and DDIL environments. Leads cloud and platform engineering teams, builds CI/CD and GitOps pipelines, implements infrastructure as code and observability, and translates mission requirements into resilient automated solutions. Responsibilities include container platform modernization, DevSecOps, security hardening, compliance, and technical stakeholder leadership.

Develop and maintain SiFive’s verification platform infrastructure, libraries, tools, and methodologies for design verification. Build functionality using Chisel and CIRCT, create Scala-based verification libraries and generators, and develop Python tools for querying design intent and metadata. Collaborate with platform technology teams, support end-to-end verification flows, and educate teams on best practices. The role requires compiled and scripting language experience, modern software engineering knowledge, and experience deploying production software.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Infrastructure Engineers will design and manage systems for high-performance computing in biology, build enterprise infrastructure, and resolve technical issues.

Operates and improves secure, highly available infrastructure across RHEL, Windows, Azure, and multi-cloud environments. Responsibilities include server and network installation, maintenance, monitoring, troubleshooting, patching, automation, middleware support, security, disaster recovery, vendor coordination, documentation, and on-call support. The role also leads technical projects, mentors junior staff, supports development environments, manages asset lifecycles, and participates in infrastructure planning and optimization.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

Build and operate a secure Kubernetes-based AI/ML platform for government test and evaluation teams. Responsibilities include GPU scheduling, workload orchestration, infrastructure-as-code, GitOps, observability, capacity planning, upgrades, security hardening, compliance support, and operational documentation. The role involves restricted and disconnected environments, automated security tooling, collaboration with government and engineering stakeholders, technical leadership, and mentoring.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Lead the architecture, scaling, reliability, and security of multi-region AWS infrastructure supporting high-throughput payment systems. Build immutable, self-healing environments with Terraform, Kubernetes, GitOps, CI/CD, and automated resiliency. Develop observability using Prometheus, Grafana, and OpenTelemetry; manage incidents and post-mortems; improve engineering velocity through Golden Paths and platform enablement; and mentor engineering teams on reliable infrastructure practices.