Top Remote Senior Site Reliability Engineer Jobs in Boston, MA

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Design, build, and maintain scalable, highly available cloud infrastructure for an AI-native cybersecurity platform. Automate deployments and incident response, optimize performance for AI workloads, manage IaC across cloud environments, lead incident management and post-mortems, and collaborate with engineering and security teams to embed reliability.

Support and optimize products migrated to AWS, implement cloud best practices, maintain operational coverage, enhance automation, observability, CI/CD/GitOps, and security. Collaborate with development and platform teams to scale, troubleshoot, and ensure reliable SaaS operations.

Operate and scale production AI inference infrastructure, run releases and capacity changes, build self-service CD pipelines and automation, extend telemetry and observability, collaborate on SLOs, post-mortems, and capacity planning to reduce operational toil.

Join Arista Networks as a Site Reliability Engineer to manage CloudVision service reliability, scalability, and stability in a FedRAMP environment, focusing on areas like architecture, security, and performance optimization.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Lead architecture and delivery of highly available, resilient cloud and on‑prem systems for the Password Safe platform. Own platform engineering, CI/CD pipelines, IaC/GitOps, release orchestration, observability (metrics/logs/traces), chaos engineering, SLO/SLI definition, and core services. Mentor engineers, define SRE strategy, and drive reliability, security, and automation improvements.

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.

Build and operate the Veeam Data Cloud GOV environment: map systems, write runbooks, define SLIs/SLOs, run incident response, close observability gaps, automate deployments and support fleet management while working across security and compliance constraints.

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.

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.

Serve as an SRE-focused AI enablement partner: evaluate AI architectures, coach engineering teams on LLM integrations and agentic/RAG patterns, advise on observability, SLOs, governance, and operational readiness, and develop internal standards and documentation.

The Site Reliability Engineer will lead technical initiatives, architect solutions, troubleshoot issues, mentor team members, and improve observability practices.

Lead technical design and architecture of large-scale Ceph clusters, drive capacity planning and major upgrades, resolve complex cross-functional production incidents, establish automation and reliability standards, and mentor engineers on advanced Ceph operations to scale the global storage platform.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

Embed with customer teams running large-scale GPU training and inference to onboard, tune, debug, and improve reliability. Diagnose fabric, driver, scheduler, and application failures; profile performance; build automation, monitoring, and preflight checks; lead incident response; and convert field learnings into product improvements and reusable reference configurations.

Own and improve uptime for backend services, APIs, workers, and ML pipelines; build monitoring, alerting, auto-remediation, optimize GCP infrastructure and Postgres performance, run on-call rotation and blameless postmortems.

Lead improvements in reliability, performance, scalability, capacity, and observability through automation and tooling. Partner with developers to design infrastructure and monitoring, define SLIs/SLOs, conduct load and performance testing, participate in incident response and root cause analysis, and manage monitoring services for production systems.

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.

Design and maintain developer experience tooling and CI/CD pipelines, manage self-service deployment tools (secrets, rollbacks), partner with cloud teams to troubleshoot production systems, participate in on-call rotation, and write production-grade automation and tests in Go and TypeScript to improve developer velocity and reliability.

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.

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.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

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.