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Senior Site Reliability Engineer
OutSystems. Lead and onboard services and teams to reliability tenets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Site Reliability Engineering with a focus on designing and implementing scalable cloud-native infrastructure, managing SLAs and SLOs, and automating operational tasks. Proficient in Python programming and experienced in monitoring and troubleshooting complex distributed systems.
Highest-signal resume keywords
Site Reliability EngineeringCloud-Native Infrastructure DesignPython ProgrammingKubernetes ManagementMonitoring and Troubleshooting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Site Reliability EngineeringCloud-Native InfrastructurePythonKubernetesLinuxNetworkingContainersAutomationInfrastructure as CodeDebugging
Soft Skills
CommunicationCollaborationContinuous ImprovementTroubleshootingKnowledge Sharing
Tools & Technologies
HadoopAWSGrafanaELK StackPrometheusAI Native IDEsGitHub CoPilotCursorClaudeBash/Shell Scripting
Certifications & Qualifications
BS/MS in Computer Science
Industry Keywords
Service Level ObjectivesService Level AgreementsIncident ResponseRoot-Cause AnalysisPost-MortemsSRE KPIsMTTAMTTRSLO CoverageDetection Ratio
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsGrafanaHadoopKubernetesLinuxPrometheusPythonShell ScriptingGo
About the role
Key responsibilities & impact- Lead and onboard services and teams to reliability tenets
- Establish and maintain Service Level Objectives and Service Level Agreements
- Design and implement scalable, reliable, and secure cloud-native infrastructure
- Collaborate with software development teams to build observable, fault-tolerant, recoverable, scalable, and performant systems
- Implement monitoring, alerting, logging, and tracing solutions
- Lead incident response, resolve incidents quickly, and conduct root-cause analyses and post-mortems
- Automate operational tasks, focusing on rapid incident detection and recovery
- Program in Python with generative AI tooling to develop mission-critical automation and tools
- Foster continuous improvement and knowledge sharing
- Communicate system reliability and performance updates to stakeholders
- Participate in an on-call rotation providing 24/7 production support
- Track SRE KPIs including SLA/SLO compliance, SLO coverage and detection ratio, MTTA, and MTTR
Requirements
What you’ll need- 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, such as Python or GoLang
- Strong troubleshooting and debugging skills
- Fluency in English
- 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
- Ability to establish, monitor, and improve SLOs, SLIs, and SLAs
- Experience with containerization and orchestration platforms, mainly Kubernetes and EKS
- Experience with automation and Infrastructure as Code tools
- Experience with Python, Go, Bash/Shell scripting, or other automation tools/languages
- Familiarity with AWS services
- Proficiency in monitoring and troubleshooting complex distributed systems
- Experience with Grafana, ELK stack, Prometheus, or similar tools
- Strong understanding of resilient and fault-tolerant system design
- Expertise in debugging complex distributed systems
Benefits
Comp & perks- Professional Development Fund
- Internal Mobility Program
- Structured professional development programs
- Inclusive culture
- Global collaboration with accessible mentors
- Equal opportunity employment