Top Remote Senior Site Reliability Engineer Jobs in Boston, MA

Lead reliability engineering for Replit’s large-scale infrastructure by designing observability, defining SLOs and SLIs, leading incident response, automating operations, optimizing Kubernetes and GCP deployments, debugging distributed systems, and mentoring engineers. Build internal tools and integrations in Python or Go, maintain infrastructure as code and CI/CD pipelines, improve system performance and resilience, and establish reliability, security, and operational best practices across the engineering organization.

Develop and operate Arista’s FedRAMP CloudVision SaaS platform at scale. Responsibilities include improving reliability, scalability, observability, autoscaling, disaster recovery, capacity planning, CI/CD, network architecture, cost optimization, and cloud application security. The role develops and manages Kubernetes-native services, distributed databases, and automation using technologies such as GCP, GKE, Go, Python, Ansible, Pulumi, and Bash. Participation in a FedRAMP on-call rotation is required.

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.

Owns reliability, observability, performance, and security for a multi-region SaaS platform. Responsibilities include managing Datadog, implementing APM and tracing, defining SLOs, developing automation, expanding infrastructure as code and CI/CD, automating operational workflows, maintaining security controls, participating in incident response, documenting procedures, and mentoring engineers.

Support operational deployments and maintenance for Core Speech production systems. Implement and maintain monitoring, alerting, performance reporting, and capacity planning. Participate in on-call rotation for off-hours reliability support. Drive improvements to system performance and architecture, and collaborate on projects while complying with corporate and quality standards.

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.

Maintain and improve multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), observability, and networking. Build reliable continuous deployment tooling and onboarding flows, provide internal support, collaborate across Platform Engineering, contribute upstream (open-source/operators), and participate in a 24/7 on-call rotation to resolve deployment infrastructure issues.

Lead reliability strategy across eight engineering groups by defining SLIs, SLOs, and error budgets; strengthening incident response, alerting, postmortems, change safety, and failure testing; and coaching teams to own reliability. The role remains hands-on through production investigations, tooling, dashboards, and reference implementations. It also leads AI adoption in incident management and observability while partnering with architecture, platform, and product teams to improve distributed-system resilience.

Senior SRE owning availability, automation, and observability for CI/CD platform services. Build and operate infrastructure, run on-call, lead incident response, mentor engineers, drive design/capacity planning, integrate AI-assisted workflows, and improve cross-team reliability.

Designs and operates reliable hybrid application platforms, leading CI/CD, infrastructure automation, cloud resource management, monitoring, security scanning, container orchestration, and database self-service tooling. The role owns the enterprise CI/CD technology stack and hosting strategy across on-premises, hybrid, and cloud environments. It requires extensive collaboration with engineering, infrastructure, security, application, QA, and governance teams, along with 24/7 mission-critical support and technical leadership.

Design, build, and operate scalable infrastructure and CI/CD/IaC systems. Implement observability (monitoring, logging, alerting), automate reliability improvements, mentor engineers, collaborate on incident response, and participate in on-call rotations to maintain Akamai Cloud services.

The Site Reliability Engineer II ensures the reliability, availability, performance, and security of critical cloud systems and services. Responsibilities include developing automation for provisioning and configuration management, maintaining monitoring and alerting, optimizing infrastructure performance, supporting high availability, and enabling continuous integration and delivery. The role collaborates with security teams and drives operational improvements across cloud and network infrastructure.

Support reliability, security, scalability, and performance of the TAK CI/CD pipeline and critical infrastructure. Monitor system health, respond to incidents, patch systems, optimize performance and costs, improve DevOps practices, automate operations, and maintain technical documentation. Requires systems and network administration experience, Linux and cloud expertise, containerization, CI/CD knowledge, Zero Trust implementation experience, Security+ certification, and an active T3 investigation.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Lead site reliability engineering for Akamai’s compute infrastructure and services. Develop automation, define reliability requirements and standards, establish SLOs and KPIs, troubleshoot complex distributed-system and hardware issues, manage incidents and postmortems, and participate in on-call rotations. Coordinate engineering teams, support strategic initiatives, mentor engineers, and guide restoration of service-impacting issues.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

Design and operate cloud platforms supporting backend telecom services. Automate deployments, scaling, recovery, and infrastructure provisioning; monitor production systems; maintain observability, alerting, and dashboards; support incident response and on-call operations; manage CI/CD pipelines; and enable engineering, telecom, and data teams through reliable tools and infrastructure.

Evaluate AI-generated documents, spreadsheets, and presentations for accuracy, rigor, domain quality, and presentation quality in incident management, reliability, and SRE. Apply specialized rubrics, identify factual and aesthetic errors, and provide structured written feedback. This is a fully remote, flexible independent-contractor engagement requiring at least five years of relevant professional experience, English fluency, and proficiency with Microsoft Office and Google Workspace.

Own the reliability, performance, resilience, observability, and security of AWS and Kubernetes infrastructure supporting products and AI/ML workloads. Define SLOs, lead incident response and root-cause analysis, build Terraform automation, optimize cloud costs, reduce operational toil, and establish deployment standards that help engineers ship reliably. Participate in on-call rotations and maintain HIPAA-compliant infrastructure.

Maintain and support platform environments across the software development lifecycle. Configure monitoring, alerting, and self-healing solutions; troubleshoot application and infrastructure issues with developers and testers; maintain technical documentation; design scalable architectural solutions; and mentor junior engineers. The role requires cloud, Kubernetes, operating system, database, scripting, configuration management, .NET, and AI/ML automation expertise.

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

Owns reliability, observability, and incident response for a GPUaaS platform. Defines SLOs, builds monitoring and alerting systems, leads major incidents and post-incident reviews, automates operational processes, maintains runbooks, manages on-call operations, coordinates with engineering teams, drives chaos testing, reports SLA performance, and mentors junior engineers.

Lead SRE responsible for incident escalation, platform architecture reviews, availability and SLO management, IaC (Terraform), Kubernetes production operations, hybrid-cloud administration, observability (Datadog), alerting (PagerDuty), automation with scripting, and ensuring compliance (PCI-DSS, SOC1/2, ISO27001). Mentor engineers and drive platform-level remediation and DevOps improvements.

Ensure stability and resilience of Runpod's distributed AI platform by defining SLIs/SLOs, leading incident response, building observability and reliability tooling, automating operational workflows, and partnering with engineering teams to reduce toil and improve production readiness.

Lead infrastructure modernization and platform reliability across multiple cloud providers. Design infrastructure as code, operate Kubernetes and Linux environments, improve CI/CD and deployment tooling, establish SLI/SLO practices, strengthen observability, lead incident response, manage cloud costs, and partner on security and compliance. Provide technical leadership through architecture guidance, mentorship, engineering standards, and roadmap development while participating in on-call support.