Top Senior Site Reliability Engineer Jobs in Boston, MA

Designs, deploys, and maintains resilient AWS and Kubernetes infrastructure. Builds automation, GitHub Actions components, internal AI-assisted operational tools, and observability systems. Leads incident response, postmortems, and SLO/SLI management while ensuring HIPAA compliance and high availability. Collaborates across teams on architecture reviews, risk reduction, clinical safety, and reliability best practices.

As a Site Reliability Engineer II, you'll automate tasks, monitor AI workloads, enhance dashboards, support CI/CD processes, and collaborate with engineering teams on complex issues while participating in on-call rotations.

The Site Reliability Engineer will build and deploy Linux servers, research technologies, monitor system performance, and resolve technical incidents.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

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.

Design, develop, test, and operate scalable infrastructure and services for Akamai Cloud. Implement and manage Infrastructure-as-Code (Terraform and similar tools), CI/CD, and observability. Automate reliability improvements, mentor engineers, collaborate on incident response and root-cause remediation, and participate in on-call rotations.

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

Lead SRE ownership of ML platform SLOs and operational health for Ray on EKS and Databricks on EC2. Maintain observability with CloudWatch/Datadog, tune autoscaling and GPU scheduling, manage Databricks workspaces and IAM, optimize cost/capacity, codify infrastructure with Terraform and CI/CD, lead incident response and postmortems, perform security/OS maintenance, and participate in on-call rotation.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

Design, deploy, and maintain resilient cloud infrastructure for Ping Identity’s mission-critical services. Build and optimize automated CI/CD pipelines, support cloud security and observability, evaluate technologies, participate in planning and on-call rotations, and help improve engineering practices. Collaborate across development and operations teams while sharing expertise and supporting distributed production systems.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Lead reliability for a serverless AI inference platform: own observability and SLO/SLI frameworks, build automation and tooling, manage incidents and on-call, define deployment safety (canaries, rollbacks), influence architecture with product teams, and mentor other SREs.

As a Site Reliability Engineer, you'll build and manage observability platforms for satellite communications, define SLOs/SLIs, and collaborate on incident response and deployment automation.

Assist with monitoring system performance, uptime, and reliability; support incident response, troubleshooting, and root cause analysis; monitor SRE alerts in Slack and report issues; learn cloud platforms; and collaborate with development and DevOps teams.

Lead SRE efforts for DFIN SaaS: ensure availability, performance, scalability, and automation. Implement monitoring, CI/CD, IaC, container orchestration, AI-enhanced observability, incident response, RCA, and runbook automation while collaborating across engineering teams.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

The Site Reliability Engineer will ensure reliable cloud operations by applying Python for infrastructure automation, managing OpenStack and Kubernetes, and practicing devsecops in a fast-paced environment.

This role involves managing Kubernetes clusters, cloud infrastructure, and CI/CD pipelines. The engineer will enhance system reliability and efficiency while troubleshooting production issues.

Lead reliability practices across teams: embed early in projects, define SLIs/SLOs, build multi-cloud paved roads with Terraform, run on-call, drive org-wide incident maturity and tooling.

Own reliability and security of CI/CD and production services: define SLI/SLOs, lead incident response and postmortems, build observability (Datadog), operate Kubernetes and IaC (Terraform), harden pipelines with SAST/DAST/SCA and policy-as-code, and coach teams on reliability and operational best practices.

Senior individual contributor SRE responsible for reliability, observability, automation, and incident command across multi-account AWS SaaS. Design Terraform modules, CI/CD pipelines, autoscaling/self-healing, OpenTelemetry-based monitoring, and security controls; mentor engineers and integrate validated AI tooling.

Leads SRE engineering leaders and engineers while defining enterprise observability, reliability, and platform strategy across GCP, on-premise, manufacturing, distribution, and campus environments. Oversees vendor-agnostic tooling, OpenTelemetry integrations, CI/CD observability, SRE maturity models, and Agentic AI initiatives. Drives adoption of SRE practices, develops technical roadmaps, partners with senior leadership and operational teams, and maintains hands-on architectural and technical credibility.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.