QAD, Inc.
Sr. Site Reliability Engineer- SRE
Rol remoto de Site Reliability Engineering con fit claro de ubicación del candidato.
Publicado19 jun 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
España
Resumen del rol
Sr. Site Reliability Engineer- SRE
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What You'll Do:
- Drive Operational Excellence: Design, implement, and maintain highly available, scalable, and resilient systems that deliver exceptional customer experience.
- Datadog Expert: Be one of the go-to experts for Datadog. You will be responsible for defining, implementing, and enforcing best practices for monitoring, alerting, logging, tracing, and synthetic testing across our entire AWS environment. This includes deep hands-on configuration, dashboarding, troubleshooting, and optimization within Datadog.
- https://www.smartrecruiters.com/app/jobs/details/1a099a5c-2719-44ea-b9fb-43833ab4f60f/jobad/726f1bba-3ffb-4544-a5ec-d689eea24fc0 1/4
- 5/29/26, 10:48 AM Job • SmartRecruiters
- Software Development for Reliability: Develop robust, well-tested, and maintainable software and tooling to automate operational tasks, create self-service capabilities for engineering teams, and enhance system reliability. This will involve building applications, not just scripts. Toil Reduction Champion: Identify and eliminate toil through automation, process improvements, and systematic problem-solving. Work proactively to shift our operational focus from reactive firefighting to proactive engineering.
- Incident Management & Post-Mortems: Contribute to and evolve our incident response framework, participating in on-call rotations (using OpsGenie). Lead blameless post-mortems, extracting actionable insights and driving systemic improvements to prevent recurrence. Reliability Metrics & Goals: Collaborate with engineering teams to define, implement, and track Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets. Use these metrics to drive continuous improvement and make data-driven decisions about reliability investments. Infrastructure as Code: Leverage and contribute to our infrastructure as code (IaC) efforts, moving towards a fully automated environment using Terraform and GitHub Actions.
- System Design & Architecture: Provide SRE expertise in system design reviews, influencing architectural decisions to build reliability, observability, and scalability into our services from the ground up.
- Knowledge Sharing & Mentorship: Document processes, build runbooks, and share your expertise with both the SRE team and broader engineering organization. Help foster an SRE culture of shared ownership and continuous learning.
Core SRE Capabilities
- Demonstrated experience operating and improving production systems at scale in an SRE, Production Engineering, or Platform Engineering role.
- Proven ability to rapidly build accurate mental models of complex distributed systems across infrastructure, applications, networking, identity, and observability domains.
- Strong troubleshooting skills with a methodical, evidence-driven approach to incident response and root cause analysis.
- Experience defining, implementing, and using Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets to guide reliability decisions.
- Excellent written and verbal communication skills, with the ability to explain complex technical issues clearly to both technical and non-technical audiences.
Experience across several of the following areas:
- Kubernetes platforms, including Amazon EKS, and service mesh technologies such as Istio.
- Cloud infrastructure and services within AWS.
- Identity and access management systems, including Auth0 and AWS IAM.\
- Networking fundamentals, including DNS, load balancing, routing, TLS, and connectivity troubleshooting.
- GitOps workflows and infrastructure automation using tools such as Flux and Terraform.
- Observability platforms and practices, including metrics, logs, traces, alerting, dashboards, and synthetic monitoring.
- CI/CD systems and engineering workflows.
- Application logging and distributed system debugging.
- Engineering Mindset
A strong SRE:
- Prioritizes service stability and customer impact during incidents.
- Slows down under pressure, gathers facts, and communicates clearly.
- Reduces operational complexity through automation and simplification.
- Identifies and eliminates toil through self-service tooling and process improvement.
- Demonstrates strong scripting and automation instincts.
- Brings a systems-thinking approach to problem-solving.
- Balances short-term remediation with long-term reliability improvements.
Software Engineering for Reliability
- Demonstrated ability to build and maintain automation, tooling, and self-service capabilities using one or more programming or scripting languages such as Python, Go, or Bash.
- Focuses on applying software engineering practices to improve reliability, reduce toil, and enhance developer productivity. Behavioral Expectations
- Calm and effective during high-severity incidents.
- Skilled at managing complex situations involving multiple teams and competing priorities.
- Able to lead blameless post-mortems and drive meaningful follow-up actions.
- Passionate about continuous improvement and fostering a culture of shared ownership.
Bonus Points (Nice to Have):
- Experience defining and working with SLOs, SLIs, and Error Budgets.
- Familiarity with other observability tools or concepts beyond Datadog.
- Experience with feature flagging platforms like LaunchDarkly.
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