Top Senior Site Reliability Engineer Jobs in Boston, MA

Design, develop, deploy, monitor, and maintain AI-enabled enterprise and cloud security solutions. Build machine learning workflows, data pipelines, and scalable security capabilities using Python, Java, TensorFlow, and related libraries. Analyze security risks and data quality, translate technical findings into client recommendations, support security controls across cloud and infrastructure environments, review deliverables, and mentor junior team members.

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.

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.

Build and operate security infrastructure for MongoDB Atlas across AWS, Azure, and Google Cloud. Responsibilities include hardening Linux hosts and containers, implementing cloud security controls, workload identity, vulnerability management, Infrastructure-as-Code, runtime threat detection, and monitoring systems. The role leads initiatives from threat modeling and architecture through deployment and long-term production reliability.

Ensure the reliability, availability, and performance of 40+ mission-critical financial market applications. Lead incident response, troubleshooting, root cause analysis, disaster recovery, releases, automation, monitoring, observability, and operational risk reduction. Collaborate with development, infrastructure, cloud, database, network, security, and product teams while supporting audit, compliance, and operational controls across distributed enterprise platforms.

Operate and improve the reliability, availability, performance, observability, and scalability of a distributed AI research platform. Build automation, CI/CD pipelines, testing systems, infrastructure-as-code, and operational tooling. Debug distributed services involving Ray, GPUs, resource allocation, and scheduling, while establishing best practices and collaborating across teams to support evolving research needs.

Site Reliability Engineer responsible for improving the reliability, resiliency, observability, and operational stability of large-scale application and platform environments. Duties include monitoring, alerting, incident response, troubleshooting, root-cause analysis, automation, performance and capacity analysis, operational readiness, and collaboration with application, infrastructure, and platform teams. The role requires strong production engineering experience, cloud platform knowledge, infrastructure-as-code familiarity, and secure operational practices.

Designs, builds, and operates observability and SRE systems that improve IT service visibility, reliability, performance, and resilience. Responsibilities include metrics collection, monitoring, alerting, APM, RUM, synthetic transactions, SLOs, incident response, capacity planning, infrastructure automation, self-healing systems, and production readiness reviews. The role also applies AI-enabled operations, supports on-call rotations, reduces operational toil, and partners with development teams on architecture and chaos testing.

Support Netflix live streaming events by improving cloud traffic capacity, scalability, observability, and reliability. Design and execute load, performance, resilience, fault-injection, and functional tests; analyze results; develop capacity plans; debug complex distributed systems; and collaborate across teams during event planning and launches. Participate in on-call rotations and support flexible event-based schedules.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident improvements.

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.

Lead the vision, strategy, and organizational growth of Payments SRE across reliability, observability, automation, incident management, performance, capacity planning, and disaster recovery. Manage SRE leaders and engineers supporting high-availability, low-latency payment systems. Partner with executives and engineering and product teams, drive compliance and operational excellence, mentor leaders, build reliability frameworks, and advance AI-enabled operations.

Lead the Site Reliability Engineering organization, managing and developing technical teams while driving reliability, scalability, observability, automation, and operational excellence. Responsibilities include infrastructure automation, vulnerability management, incident response, SLA and SLO analysis, monitoring improvements, post-incident reviews, ITIL processes, vendor coordination, and cross-functional reliability initiatives for large-scale production storage systems.

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.

Designs and develops Python-based reliability tools and cloud solutions on AWS using Terraform. Builds automation, observability, CI/CD pipelines, and testing frameworks; defines SRE standards, SLIs, SLOs, and error budgets; participates in incident response, on-call support, root-cause analysis, and postmortems. Collaborates across Agile teams to improve platform reliability, reduce toil, optimize cloud costs, and advance cloud-native engineering practices.

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.

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.

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.

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.

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.

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.

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.

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.