Top Site Reliability Engineer Jobs

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

Own reliability, stability, and performance of low-latency algorithmic and sequencer-based trading platforms. Troubleshoot production issues, manage releases and configurations, improve observability and automation, support client onboarding (FIX/API), conduct performance testing, mentor peers, and drive SRE best practices across teams.

The Senior SRE I will design and maintain automation for infrastructure provisioning, monitor system health, resolve production incidents, and mentor junior SREs, ensuring reliability and operational efficiency across cloud platforms.

Define and own enterprise reliability, scalability, and performance for production services. Drive architectural standards, observability strategy, SLO/SLI and error-budget governance, lead incident command for high-severity events, and foster a blameless, engineering-first operations culture across cloud, hybrid data centers, and customer-hosted environments.

Lead technical reliability initiatives across a multi-cloud, multi-region active-active content platform. Architect and evolve core services, observability and logging, automation and capacity planning. Mentor engineers, drive cross-team reliability projects, define standards (IaC, SLOs, on-call) and proactively improve platform scalability and incident outcomes.

Lead and consult on large-scale systems and network infrastructure, resolve complex production issues, drive technical changes, and collaborate with engineering teams to improve reliability and observability across cloud and distributed platforms.

Lead SRE responsible for leading large-scale systems and network infrastructure initiatives, resolving complex production issues, consulting on change/design, and improving observability and hosting platform reliability across cloud and distributed environments while collaborating with technical peers and managers.

Lead and advise on large-scale systems and network infrastructure initiatives, resolve escalated SRE issues, design technical changes, and collaborate with engineering and management to improve observability, hosting platforms, and production reliability.

Lead and consult on large-scale systems and network infrastructure planning, drive complex SRE initiatives, analyze escalated technical issues, make technical change decisions, and collaborate with engineering and management to resolve systems support problems and improve reliability.

Lead SRE to provide technical leadership for a multi-cloud, multi-region active-active content platform. Define automation and IaC strategy, design core platform and logging/observability systems, establish capacity and performance frameworks, lead cross-team reliability initiatives, improve on-call and incident response, mentor engineers, and proactively address systemic reliability and scaling challenges.

Lead technical strategy and architecture for developer tooling and platforms (GitLab, CI/CD, Jira, Confluence, PostgreSQL, Artifactory, SonarQube). Define SLIs/SLOs, reliability standards, automation, IaC, backups, DR, and security controls. Lead incidents, root-cause analysis, upgrades, migrations, and mentor SREs while partnering with stakeholders to ensure secure, scalable, and supportable platforms. Participate in after-hours escalation as needed.

Operate and support mission-critical developer platforms (GitLab, CI/CD runners, Jira, Confluence, PostgreSQL, Artifactory, SonarQube). Monitor health, triage incidents, automate operations with IaC/Ansible/scripts, assist cloud/on-prem administration (AWS/Azure/Linux/containers), maintain runbooks, support backups/patching, and collaborate with developers and cybersecurity to apply SRE practices and improve delivery metrics.

Define and scale SRE standards across teams, implement SLOs/SLIs/error budgets, build observability and resiliency patterns, drive automation and AIOps, improve reliability for large-scale Azure cloud systems, and influence engineering and platform teams.

The SRE will ensure the reliability of backend systems, scale Kubernetes-based control planes, and improve automation mechanisms while managing incident processes.

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.

Ensure reliability, scalability, and performance of Mastercard applications by implementing observability, automation, CI/CD, and cloud infrastructure best practices. Support production readiness, triage incidents, perform root-cause analysis and blameless post-mortems, mentor developers, and drive operational standards, capacity planning, and risk/compliance activities to maximize service availability and customer experience.

Lead technical, second-line oversight of SRE and cloud engineering practices. Perform deep-dive risk analyses of cloud architectures, resiliency, CI/CD, observability, and Gen AI integrations. Produce data-driven risk findings, mitigation recommendations, and executive-facing reports while partnering with first-line engineers and leadership to ensure robust controls and operational reliability.

Designs, implements, monitors, and optimizes cloud-based application infrastructure and reliability. Uses IaC/NaC, observability, SLOs, CI/CD pipelines, and enterprise-authorized AI to prevent and resolve incidents, improve availability and scalability, and mentor peers on SRE best practices.

Lead and scale multidisciplinary engineering teams to deliver cloud-native, AI-enabled enterprise applications and data platforms. Own architecture, modernization, DevOps/MLOps, observability, and AI adoption (RAG, vector DBs, conversational AI). Partner with executives and cross-functional teams to define roadmaps, ensure reliability, and drive engineering excellence and organizational growth.

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.

Design, deploy, and operate large-scale, distributed IaaS/PaaS/SaaS systems with automation and monitoring. Provide primary operational support, instrument production KPIs, resolve performance issues, and collaborate across DevOps, Security, and IT teams to scale systems through automation.

Lead and operate reliability for large-scale distributed systems: deploy and monitor IaaS/PaaS/SaaS, automate scaling and deployments, instrument production for KPIs, troubleshoot performance, provide primary operational support, and collaborate with DevOps, Security, and IT Operations to ensure continuous service delivery.

Design, deploy, automate, and operate large-scale distributed IaaS/PaaS/SaaS systems. Implement monitoring, performance tuning, and automation (Ansible/Helm). Provide operational support for networking and storage (Juniper, NFS/Ceph/S3), collaborate with cross-functional teams, and ensure service reliability and continuous improvement.

Build, deploy, automate, monitor, and operate large-scale distributed IaaS/PaaS/SaaS systems. Provide primary operational support, instrument performance metrics, scale via automation, troubleshoot complex issues, and collaborate across DevOps, Security, and IT teams.

Design, deploy, automate, monitor, and operate large-scale distributed IaaS/PaaS/SaaS systems. Provide primary operational support, instrument production KPIs, resolve complex service issues, scale systems via automation, and collaborate with DevOps, Security, and IT teams to improve reliability and performance.