Top Senior Site Reliability Engineer Jobs in Boston, MA

Leads reliability, scalability, performance, and security for large-scale cloud systems. Designs AWS infrastructure with Terraform, automates CI/CD and operational workflows, establishes SLOs, manages incident response and disaster recovery, develops monitoring and observability solutions, and builds internal tools. Partners with engineering teams on architecture and reliability practices, conducts code reviews, mentors SREs, and supports compliance, vulnerability management, and security integration.

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.

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.

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.

Staff Site Reliability Engineer responsible for defining reliability and infrastructure strategy, leading complex cross-functional engineering initiatives, architecting scalable AWS and Kubernetes platforms, maintaining Terraform and CI/CD systems, and developing observability practices with SLOs and SLIs. The role mentors engineers, drives operational excellence and infrastructure security, resolves complex production issues, and communicates with technical and executive stakeholders.

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.

Own reliability for production domains across a multi-account AWS SaaS environment. Design observability, alerting, SLOs, automation, Terraform modules, CI/CD pipelines, autoscaling, and self-healing systems. Operate ECS, EKS, Lambda, and PostgreSQL workloads; lead incident response, root-cause analysis, on-call operations, security controls, and compliance automation. Mentor SRE engineers, improve MTTD and MTTR, partner across global teams, and integrate AI into engineering workflows with measurable validation and governance.

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Analyzes and resolves availability and performance issues in large-scale production and lab environments. Develops automation, monitoring, alerting, log analysis, debugging tools, and systems programming solutions. Collaborates with software development and engineering teams on CI/CD, platform architecture, incident resolution, and operational best practices within an agile SDLC.

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.

Build and maintain the Zero Touch Platform: develop Temporal workflows and Go services to automate cloud operations, own production systems (SLOs, on-call, incidents), debug cloud-native distributed systems, create CI/CD and IaC automation, and produce documentation to enable self-service across engineering teams.

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.

Leads the design and operation of highly available cloud systems, primarily on AWS, using Terraform, GitLab CI/CD, containers, and observability tools. Responsibilities include reliability engineering, incident response, disaster recovery, automation, monitoring, security integration, vulnerability management, and cost optimization. The role builds internal tools, guides architecture, mentors SRE engineers, documents operational processes, and partners with software engineering teams to improve production reliability and compliance.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

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.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

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.

Maintain reliable, secure, and scalable APIs and websites across AWS environments. Monitor service health, define SLOs, resolve incidents, automate remediation, and optimize performance. Configure CDN, WAF, bot management, and rate limiting to mitigate abusive traffic such as scraping, credential stuffing, and API abuse. Manage infrastructure as code, IAM, network segmentation, TLS, secrets, CI/CD security checks, logging, and configuration drift. Collaborate with engineering, security, product, marketing, and legal teams on policies, compliance, and data integrity.

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.

Deploys, operates, and maintains resilient AWS and Kubernetes infrastructure and microservices for the Webex for Government environment. Monitors service health, troubleshoots production incidents, automates infrastructure provisioning, and supports 24x7 operations. The role strengthens security and FedRAMP compliance through IAM, logging, hardening, vulnerability remediation, and continuous monitoring. It also partners with engineering, security, and compliance teams to improve reliability, document procedures, create runbooks, and conduct incident and root-cause reviews.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.