This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Site Reliability Engineer based in Germany.
This role offers the opportunity to take ownership of cloud infrastructure and help shape reliability, observability, and operational excellence across a growing engineering organization. You will design and evolve scalable infrastructure on Google Cloud while enabling development teams through automation and self-service tooling. The role combines hands-on technical engineering with ownership of reliability practices, incident management, and operational improvement. You will strengthen observability capabilities and use data-driven metrics to improve system performance and software delivery. You will also help optimize cloud usage and costs while establishing sustainable infrastructure governance. This is an ideal opportunity for an experienced SRE who enjoys solving complex operational challenges and working closely with cross-functional engineering teams.
Accountabilities:
- Design, build, and continuously evolve scalable cloud infrastructure using Google Cloud Platform (GCP).
- Develop internal tooling, automation, and self-service capabilities that improve engineering team autonomy and operational efficiency.
- Advance observability across metrics, logging, tracing, and distributed systems to improve system visibility and reduce mean time to recovery.
- Establish infrastructure cost visibility and lead governance and optimization initiatives to improve cloud efficiency.
- Champion reliability engineering practices, including Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, and DORA metrics.
- Define and improve incident management processes, lead incident response, and facilitate post-incident reviews focused on identifying and addressing root causes.
- Participate in an on-call rotation and help ensure reliable operation of production systems.
- Partner with engineering and product teams to identify reliability risks, improve operational practices, and support the delivery of resilient software.
- Contribute to continuous improvements across infrastructure, deployment, monitoring, and operational workflows.
Requirements:
- 3+ years of professional experience in Site Reliability Engineering or production-focused SRE roles.
- Strong hands-on proficiency with Google Cloud Platform (GCP), including cloud cost optimization and governance.
- Practical experience managing Kubernetes clusters and workloads in production environments.
- Infrastructure as Code experience using Terraform, Deployment Manager, or comparable tools.
- Strong scripting and automation capabilities using Python, Bash, Go, or similar languages.
- Experience building and maintaining observability solutions using tools such as Prometheus, Grafana, and OpenTelemetry, along with logging and distributed tracing.
- Proven experience with incident management, post-incident reviews, production troubleshooting, and on-call responsibilities.
- Ability to define, implement, and operationalize SLOs, SLIs, and error budgets.
- Understanding of DORA metrics and their application to software engineering and delivery workflows is an advantage.
- Experience designing and evolving cloud infrastructure at scale is highly desirable.
- Background working in AI/ML, geospatial technology, or similarly data-intensive environments is a plus.
- Strong problem-solving, communication, collaboration, and ownership skills.
- Ability to work effectively in a fully distributed and cross-functional engineering environment.
- Candidates must be based in Canada or another eligible location within North America, the EU, or the UK.
- Visa sponsorship is not available for this role.
Benefits:
- Fully remote work with flexibility across eligible locations.
- Opportunity to work on challenging cloud infrastructure, reliability, and observability initiatives.
- High degree of ownership and influence over infrastructure and operational engineering practices.
- Opportunity to build automation and self-service tooling that directly improves engineering productivity.
- Exposure to modern cloud-native technologies, including GCP, Kubernetes, Terraform, Prometheus, Grafana, and OpenTelemetry.
- Opportunity to contribute to reliability engineering practices involving SLOs, SLIs, error budgets, incident management, and DORA metrics.
- Salary discussed during the interview process and determined based on experience and location.
- Opportunity to collaborate with experienced engineering teams in an innovative AI/ML and technology-driven environment.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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