Top SRE Engineer Jobs in Boston, MA

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

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.

Lead architecture and build a Kubernetes-based, GitOps-driven platform and self-service datastore offerings. Drive IaC, observability, and platform automation; partner with application teams to diagnose and optimize datastore and messaging performance at scale.

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.

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.

Architect, automate, and operate enterprise Akamai CDN, WAF, DNS, edge security, and certificate management platforms. Build Terraform and API-driven infrastructure, self-service capabilities, CI/CD pipelines, and reliability tooling. Establish observability, SLOs, incident response, and performance optimization practices for high-volume internet-facing applications. Partner with application, infrastructure, security, and DevOps teams on secure, scalable, highly available edge services while providing technical leadership and reducing operational toil.

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.

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.

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.

Own end-to-end client support, troubleshoot production issues, monitor cloud environments, respond to incidents, automate operational tasks, and lead postmortems. Develop and execute manual and automated QA tests, maintain regression suites, integrate testing into CI/CD, and validate AI-powered features. Build documentation, collaborate with engineering and product teams, and improve reliability for regulated-industry clients.

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.

Architects, deploys, and operates secure, highly available Kubernetes and cloud infrastructure for AI/ML workloads. Builds Terraform-based automation, GitOps workflows, CI/CD pipelines, observability, and security controls across cloud environments. Serves as a customer-facing technical SME, supporting solution architecture, technical scoping, demonstrations, documentation, and client handoffs. Participates in on-call operations, troubleshooting, root-cause analysis, and post-mortems.

Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.

Owns reliability, availability, incident response, and infrastructure for a regulated SaaS platform. Maintains AWS and Azure environments using Terraform, operates Kubernetes production systems, develops automation, improves observability and deployment safety, mentors engineers, and helps establish the company’s reliability practice.

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.

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.

Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.

Site Reliability Engineer responsible for maintaining the reliability, availability, scalability, and performance of enterprise automation platforms. Duties include monitoring, incident response, root cause analysis, observability improvements, deployment support, testing, configuration management, release activities, infrastructure automation, and production risk mitigation. The role partners with development and operations teams to improve system stability and operational readiness across automation solutions.

Lead the evolution of Azure infrastructure toward Kubernetes-based, microservices-oriented systems. Design reliable and scalable cloud infrastructure, observability, networking, CI/CD pipelines, and Infrastructure-as-Code. Drive incident response, cost optimization, capacity planning, performance improvements, and automation while partnering with engineering and data teams. Document best practices, mentor colleagues, and support platform strategy in a healthcare environment with PHI, access control, and audit requirements.

Provide technical leadership for site reliability engineering, applying software engineering practices to large-scale operations. Design automated, repeatable operational solutions; monitor service objectives, application performance, and business metrics; improve resiliency, efficiency, and cost. Support cloud and on-premise infrastructure, production applications, deployment automation, testing, and vulnerability response. Partner with software development, security, and business teams while promoting Agile practices, change management, training, and operational health.

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.

Principal Site Reliability Engineer responsible for the availability, scalability, durability, and operational reliability of production systems. The role leads observability, incident response, SLO and error-budget practices, automation, infrastructure as code, and long-term service improvements. Responsibilities include designing monitoring and alerting frameworks, supporting Kubernetes and distributed storage environments, improving operational processes, collaborating across engineering and business teams, and mentoring reliability-focused practices. The position requires extensive experience with Linux, cloud infrastructure, containers, scripting, storage systems, and large-scale production environments.

Develop and operate Akamai’s Linux-based cloud infrastructure, including bare-metal and virtual machine platforms, kernels, operating systems, and KVM/QEMU virtualization. Build software, automation, observability, and infrastructure enhancements at scale; troubleshoot complex distributed-system issues; collaborate across engineering and operations; mentor team members; and participate in on-call service restoration.

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.