Senior Site Reliability Engineer

Hybrid onsite in Menlo Park, CA. Responsibilities Lead and onboard services and teams to the reliability tenets. Establish and maintain Service Level Objectives (SLOs) and Service Level Agreements (SLAs). Design and implement scalable, reliable, and secure infrastructure, ensuring cloud‑native best practices. Collaborate with software development teams to build resilient, observable, fault‑tolerant, recoverable, and scalable systems. Implement monitoring, alerting, logging, and tracing solutions to detect and respond to incidents. Lead incident response efforts, ensuring rapid resolution and minimal downtime, and conduct root‑cause analysis (RCA) and post‑mortems. Automate operational tasks, focusing on fast incident detection and recovery. Program in Python, using Gen AI tooling to accelerate automation and tool development. Foster a culture of continuous improvement and knowledge sharing. Communicate effectively with stakeholders, providing updates on system reliability and performance. Participate in on‑call rotation to provide 24/7 support for production systems. Performance Indicators SLA and Service Level Objectives (SLO) compliance; SLO coverage and detection ratio; Mean time to acknowledge (MTTA); Mean time to resolve (MTTR). Qualifications Bachelor's or Master’s degree in Computer Science or equivalent. 6+ years of experience in Site Reliability Engineering, managing infrastructure and services at scale. History of end‑to‑end project delivery. Experience managing Hadoop and Kubernetes infrastructure or equivalent. Advanced knowledge of Linux, networking, and containers. Proficiency in at least one high‑level programming language (Python, Go, etc.). Strong troubleshooting and debugging skills. Fluency in English with excellent communication skills. Experience with prompt engineering, AI‑native IDEs, or AI assistants such as Cursor, GitHub Copilot, or Claude. Technical Skills Establishment, monitoring, and improvement of SLOs, SLIs, and SLAs aligned with business needs. Containerization technologies and orchestration platforms—mainly Kubernetes and EKS (CKA, CKAD, CKS certifications are valued). Automation and Infrastructure as Code (IaC) tools, such as AWS CloudFormation, Terraform, Puppet, Chef, Spacelift, etc. Python, Go, Bash/Shell scripting, or other automation languages. Familiarity with AWS services like EC2, RDS, ELB, CloudFront, Lambda, etc. Monitoring and troubleshooting complex distributed systems using Grafana, ELK stack, Prometheus, or similar. Designing resilient and fault‑tolerant systems; debugging complex distributed systems. Soft Skills Effective communication (oral and written) in English, with empathy for stakeholders. Collaboration and proactive presentation of ideas to leadership. Humbleness—admitting mistakes, mitigating impact, and learning from errors. Accountability—owning problems and driving them to resolution. Negotiation skills—defusing conflicts and leading toward mutual agreement. Process orientation—following defined processes while challenging inefficiencies. Problem‑solving and critical thinking—breaking problems into smaller parts and analyzing objectively. EEO Statement As an equal opportunity employer, all qualified applicants receive equal consideration regardless of race, origin, religion, sex, sexual orientation, gender identity, disability, veteran status, or any other protected status. #J-18808-Ljbffr OutSystems, Inc.