Top Senior Site Reliability Engineer Jobs in Boston, MA

Design and implement reliable, scalable IT infrastructure; automate processes; monitor systems; resolve incidents; conduct performance and load testing; optimize cloud environments; maintain storage architecture; and lead continuous improvement. The role requires troubleshooting complex system issues, developing automation solutions, managing incidents, collaborating across teams, mentoring others, and supporting secure business operations across AWS, Google Cloud, and Microsoft Azure.

As a Staff Site Reliability Engineer, you'll oversee Zscaler production data center services, optimize code, and ensure cloud service availability and performance. Collaborate with cross-functional teams to improve processes and resolve escalated issues.

Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.

Leads the architecture, modernization, resilience, security, and performance optimization of enterprise mainframe environments. Responsibilities include z/OS performance tuning, WLM and RACF administration, business continuity planning, automation, technical governance, incident resolution, stakeholder collaboration, and guidance of cross-functional engineering and operations teams. The role also evaluates cloud, DevOps, AI, and hybrid IT technologies for mainframe transformation.

Provide technical direction for GitLab Dedicated, a managed single-tenant SaaS platform. Lead architecture and transformation across resilience, failover, tenant orchestration, change management, automation, and platform integrations. Identify systemic reliability and scalability risks, establish reusable platform patterns, strengthen service ownership, and guide cross-team technical decisions. Mentor senior engineers and advance engineering excellence across the organization.

Leads teams designing and deploying AI-driven enterprise and cloud security solutions. Responsibilities include developing machine learning systems, integrating data infrastructure and pipelines, performing advanced modeling and analysis, and building AI applications with Python, Java, and C++. The role involves client engagement, strategic problem-solving, stakeholder validation, coaching, process innovation, and operational excellence while addressing complex cybersecurity and privacy challenges.

Leads the design and development of AI-driven enterprise and cloud security solutions. Manages teams delivering data, analytics, and machine learning engineering projects; oversees AI model implementation, data infrastructure, pipelines, and platform deployments. Uses Python and C++ for algorithm development, analyzes data, improves data quality, ensures technical compliance, mentors staff, manages client expectations, and drives innovation across cybersecurity and privacy initiatives.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

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.

Lead reliability, scalability, and operational excellence of large-scale database platforms across cloud and on-prem. Build automation-first database infrastructure (Kubernetes operators, IaC, GitOps), drive monitoring/SLOs, incident leadership, performance and cost optimization, and partner with application teams on safe schema/migration practices. Mentor engineers and evaluate AI-assisted workflows to improve productivity and reliability.

Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.

Support Salesforce GovCloud reliability and high availability in a 24/7 operations environment. Responsibilities include incident response, root cause analysis, infrastructure administration, security and compliance alignment, automation, monitoring, preventative remediation, and workflow improvement. The role requires collaboration across engineering teams, participation in post-incident reviews, and support for AWS/C2S infrastructure and customer-facing services.

Build and operate reliable cloud infrastructure, developer platforms, CI/CD systems, observability, and production workloads. Support applications, data systems, ML pipelines, and AI workloads across development, staging, and production. Establish SLOs, monitoring, incident response, automation, infrastructure-as-code practices, and operational standards. Collaborate with Product Engineering, Data Engineering, Data Science, and Security while mentoring engineers and participating in support rotations.

Lead and mentor a global SRE team while overseeing incident response, system health, availability, performance, monitoring, logging, automation, and capacity management. Develop reliability tooling, improve observability, support on-call operations, and partner with engineering and product teams on reliability-focused initiatives. The role also involves project leadership, compliance adherence, and proactive reduction of operational toil through automation and engineering practices.

Build and maintain reliable cloud infrastructure, container platforms, automation, observability, and secrets-management systems. Responsibilities include infrastructure-as-code, ChatOps, CI/CD, incident response, on-call support, SLO and SLI management, production troubleshooting, code reviews, and blameless post-mortems. The engineer partners with development, research, and architecture teams to improve system operability, performance, and reliability.

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Leads reliability standards across Infrastructure Engineering by developing Service Level Objectives, Service Level Indicators, error budgets, observability reporting, and reliability measurement practices. Partners with engineering teams to connect infrastructure performance to application and customer experiences, analyzes distributed-system failure modes, and influences teams through technical guidance, mentoring, and communication with senior leadership.

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.

Develop and maintain reliable platforms through automation, observability, incident response, performance optimization, and infrastructure improvements. The role collaborates with engineering teams, supports 24x7 reliability rotations, troubleshoots complex issues across code and infrastructure, and improves operational processes. Required experience includes SRE or equivalent work, software development, cloud platforms, monitoring, databases, and containerization. Preferred skills include Terraform, REST APIs, Grafana, Splunk, Agile, and GitOps.

Architect, develop, test, and distribute software, services, and infrastructure supporting Akamai’s cloud hypervisor platforms. Improve observability, automate infrastructure processes, troubleshoot complex distributed-system issues, mentor engineers, and participate in on-call service restoration. The role requires deep Linux, kernel, virtualization, ARM hardware, large-scale infrastructure, DevOps, and configuration-management expertise.

Architect, build, and support reliable network infrastructure and automation for Akamai’s distributed cloud platform. Develop Bash and Python tooling, establish deployment standards, define SLOs, mentor engineers, and troubleshoot complex network issues. The role requires expertise in large-scale distributed systems, TCP/IP, BGP, Linux networking, configuration management, CI/CD, and open-source networking software, with participation in on-call rotations.

Lead design, build, and evolve developer infrastructure and CI platforms for Meraki cloud teams. Guide complex troubleshooting, mentor engineers, drive operational excellence, define roadmaps with leadership, and champion sustainable on-call practices while supporting large-scale distributed systems and automation across developer environments.

Lead and develop an SRE team responsible for the reliability, availability, performance, automation, and observability of Linux-based digital commerce infrastructure. Set SRE and DevOps strategy, modernize Kubernetes and CI/CD practices, establish automation and infrastructure-as-code standards, oversee incident response, and drive SLIs, SLOs, and error budgets. Partner across engineering, architecture, infrastructure, security, networking, and product teams while recruiting, mentoring, and developing SRE talent.