Senior Site Reliability Engineer

Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems. The main goals of SRE are to create scalable and highly reliable systems. Our SREs ensure our production systems' reliability, performance, and scalability while enabling rapid development and deployment of new features and services. SREs at OutSystems work closely with development teams, acting as an extension of the team, in adopting the reliability tenets with the shared goal of meeting Service Level Objectives (SLOs) and thus delivering a smooth and frictionless Customer Experience.

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, while ensuring cloud-native best practices; Collaborate with software development teams to ensure systems are resilient (observable, fault-tolerant, recoverable, scalable) and performant; Implement monitoring, alerting, logging, and tracing solutions to detect and respond to incidents; Lead incident response efforts, ensuring quick resolution and minimal downtime, and conduct RCA/post-mortems; Automate every operational task, with a special focus on fast incident detection & recovery; Programming in Python supported by Gen AI tooling to accelerate development of mission critical automation and tools; 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

Requirements

BS/MS 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 and related services, or equivalent experience; Advanced knowledge of Linux, Networking, and Containers; Proficiency in at least one high-level programming language (Python, GoLang etc.); Strong troubleshooting and debugging skills; Fluency in English and excellent communication skills; An understanding or hands-on experience with Prompt engineering in software development; Familiarity with AI Native IDEs or AI Assistants such as Cursor, GitHub CoPilot, and Claude; Communication; Collaboration; Humbleness; Accountability; Negotiation Skills; Process Oriented; Problem-solving

Nice to have

Ability to establish, monitor, and improve Service Level Objectives (SLOs), Indicators (SLIs), and Agreements (SLAs) in line with business needs; Containerization technologies and orchestration platforms, mainly Kubernetes and EKS (CKA, CKAD, CKS certifications are valued); Experience with automation and Infrastructure as Code (IaC) tools, such as AWS CloudFormation, Terraform, Puppet, Chef, Spacelift, etc; Experience with Python, Go, Bash/Shell scripting, or other automation tools/languages; Familiarity with AWS services like EC2, RDS, ELB, CloudFront, Lambda, etc; Proficiency in monitoring and troubleshooting complex distributed systems; Experience with Grafana, ELK stack, Prometheus, or others; Strong understanding of designing resilient and fault-tolerant systems; Expertise in debugging complex distributed systems

Benefits

Company at the vanguard of the agentic revolution; Real growth opportunities; Professional Development Fund; Internal Mobility Program; Global collective of world-class talent; Inclusive culture