Top Senior Site Reliability Engineer Jobs in Boston, MA

Lead Samsara’s AI initiatives across the software development lifecycle, including developer agents and SRE AI. Set strategy, select experiments, make build-versus-buy decisions, control infrastructure and token costs, scale automated incident response, and build trust in AI-driven actions. Manage and grow a team of five to ten senior engineers while partnering directly with R&D leaders and developers.

Own and evolve a portable data platform infrastructure across commercial cloud, government cloud, and on-premises environments. Responsibilities include infrastructure as code, security and compliance, observability, SLOs, incident response, capacity planning, backups, upgrades, deployment tooling, and runbooks. The role will establish SRE practices, support regulated customer deployments, collaborate with distributed systems engineers, and mentor a future SRE hire.

Own reliability, security, and operational readiness for AI workloads across PaaS, customer-hosted, air-gapped, and government cloud environments. Architect FedRAMP-compliant infrastructure, operate Kubernetes platforms, implement monitoring and vulnerability remediation, optimize GPU workloads, manage identity and secrets, support audits and ATOs, define reliability objectives, and lead incident response, change control, releases, and disaster recovery.

Deploy and manage highly available, scalable storage platforms across cloud infrastructure. Automate storage lifecycle tasks with Bash and Python, provision infrastructure, troubleshoot Linux, networking, and compute issues, improve monitoring and observability, and support reliability through on-call rotations. The role requires collaboration with operations and engineering teams and experience with storage systems, Ceph, NGINX, automation tools, and distributed infrastructure.

Analyzes large-scale telemetry and datasets to identify content delivery performance and reliability issues. Builds software tools to automate analytical workflows and enable autonomous diagnosis. Applies statistical analysis, machine learning, networking, and distributed-systems expertise to develop targeted platform improvements. Defines and mines internal data feeds, establishes performance indicators, and partners with Engineering, Operations, and Product teams to guide feature and process adoption.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Build and operate automated infrastructure security capabilities across multi-cloud environments. Harden Linux hosts and containers, develop security controls with Terraform and production code, manage Kubernetes and cloud security platforms, implement monitoring and threat detection, and lead initiatives from threat modeling through reliable production deployment.

Build and operate Axon’s global Kubernetes platform across Azure and AWS clouds. Responsibilities include infrastructure-as-code, GitOps automation, cluster provisioning and upgrades, reliability and cost optimization, security policy enforcement, observability, distributed-systems troubleshooting, documentation, and on-call support. The role owns platform features end to end and develops tooling that enables engineering teams to deploy and operate services securely and efficiently.

Designs, secures, and maintains Azure Government infrastructure supporting compliant, resilient cloud services. Responsibilities include zero-trust networking, automated patching and STIG enforcement, disaster recovery, Azure Virtual Desktop management, certificate rotation, monitoring, cost optimization, and audit evidence preparation. The role collaborates with security, compliance, DevSecOps, and SOC teams to meet FedRAMP, FISMA, and CMMC requirements.

Designs, operates, and secures production GCP environments for federal and regulated customers handling CUI. Responsibilities include cloud foundations, networking, IAM, encryption, monitoring, threat detection, incident response, GKE security, infrastructure automation, observability, and compliance evidence. The role translates NIST, FedRAMP, and CMMC requirements into GCP controls and supports audit readiness while reducing operational toil through Terraform and scripting. It requires strong stakeholder communication and hands-on SRE, cloud security, and GCP expertise.

Manage and maintain cloud infrastructure for performance, availability, and scalability. Deploy cloud environments, monitor system uptime and performance, support cloud migration and modernization initiatives, and implement infrastructure automation using AWS, Azure, or GCP, monitoring tools, and Infrastructure as Code.

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

The Senior Site Reliability Engineer maintains resilient, observable SaaS platforms through monitoring, alerting, automation, CI/CD, infrastructure as code, and performance optimization. The role leads incident response, triage, root-cause analysis, and 24/7 on-call operations while applying AI/AIOps for predictive reliability and automated remediation. Responsibilities include supporting cloud infrastructure, Kubernetes environments, production security, database performance, SLOs, SLAs, and continuous improvements in collaboration with software engineering teams.

Design, operate, and support reliable customer platforms across Linux, Kubernetes, and public cloud environments. Responsibilities include OS lifecycle management, infrastructure automation, IaC, configuration management, GitOps, observability, SLOs, capacity planning, incident response, and on-call support. The role requires depth in one data platform area—Elasticsearch/OpenSearch, Redis, or Kafka-Hadoop-Spark—and willingness to learn others. It also involves customer consultation, platform architecture guidance, documentation, knowledge sharing, and reducing operational toil through scripting and automation.

Owns the reliability of cloud private networking, firewall, and IPSec Gateway services across a global fleet. Responsibilities include phased deployments, Linux networking operations, packet-level troubleshooting, automation with Python or Shell, configuration management, monitoring with Prometheus and Grafana, alerting, runbook maintenance, incident response, SLO improvement, and technical readiness reviews.

Develop and operate Akamai’s cloud platform infrastructure, automation, observability tooling, and distributed systems. Investigate performance bottlenecks across physical, virtualized, and containerized Linux environments; improve kernel and hardware compatibility; automate infrastructure with configuration-management tools; and troubleshoot complex issues with support, operations, and engineering teams.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Enhance observability, automate operational processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role focuses on Linux internals, hardware enablement, KVM/QEMU virtualization, operating systems, nested virtualization, and large-scale infrastructure deployment.

Configure and optimize Dynatrace SaaS Gen3 and SolarWinds monitoring across applications, infrastructure, cloud environments, Azure subscriptions, and networking. Build dashboards, reports, queries, alerts, and actionable insights for technical and business stakeholders. Collaborate with architecture, DevOps, security, SRE, and business teams to troubleshoot monitoring issues, maintain regulatory compliance, and document configurations, runbooks, and best practices.

Lead integration, maintenance, and automation of heterogeneous hardware and software control systems for quantum computers. Manage networked lab infrastructure, CI/CD pipelines, observability, and provisioning. Support incident response, testing, and orchestration, collaborating with software, hardware, and test teams to ensure reliability and operational readiness of development and production environments.

Leads site reliability engineering for AWS cloud environments, building infrastructure and Infrastructure as Code capabilities. Develops automation, CI/CD pipelines, monitoring, alerting, dashboards, and Kubernetes platforms; manages IAM, patching, vulnerabilities, repositories, and incident response. Identifies performance and availability issues, conducts post-incident analysis, collaborates with delivery and platform teams, and mentors engineers.

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.

The Site Reliability Engineer will manage infrastructure stability and scalability, lead cloud migrations, and optimize performance across systems while mentoring team members.

Operate and improve the reliability, availability, performance, observability, and scalability of a distributed AI research platform. Build automation, CI/CD pipelines, testing systems, infrastructure-as-code, and operational tooling. Debug distributed services involving Ray, GPUs, resource allocation, and scheduling, while establishing best practices and collaborating across teams to support evolving research needs.

Build and maintain reliable, secure cloud infrastructure supporting Kubernetes-based distributed machine learning workloads and biosignal data. Lead infrastructure upgrades, security improvements, CI/CD, observability, incident response, and application reliability initiatives. Administer cloud platforms, automate infrastructure with code, participate in on-call rotations, collaborate with development teams, and document deployment and incident procedures.

Leads organization-wide SRE strategy and builds reliable, scalable AWS and Kubernetes infrastructure. Establishes SLOs, observability, incident response, disaster recovery, and cost optimization practices. Develops AI gateways with governance and security controls, internal developer platforms, CI/CD tooling, and automation to reduce toil. Partners across engineering, mentors SREs, influences technical direction, and leads complex infrastructure initiatives.