Jobgether
Site Reliability Engineer (Remote - EMEA)
We are currently looking for a Site Reliability Engineer in EMEA to help ensure the stability, performance, and scalability of our complex cloud systems. The role supports cross‑functional engineering teams to design and operate resilient infrastructure, enhance observability, and streamline automation across environments. This position is ideal for a technically driven problem‑solver who thrives in a remote‑first, innovation‑focused environment.
Accountabilities
Design, operate, and optimize AWS‑based infrastructure using Terraform, Helm, and Kubernetes to ensure scalability and high availability.
Strengthen observability through effective monitoring, logging, and alerting systems to improve incident detection and resolution times.
Automate key workflows and reduce manual tasks to enhance engineering productivity and operational consistency.
Partner with software and cloud engineering teams to improve the resilience and performance of services under heavy workloads.
Participate in building the next‑generation architecture supporting regional expansion and data residency requirements.
Contribute to on‑call rotations, manage incidents calmly, and document learnings to prevent recurrence.
Experiment with and adopt AI tools to streamline workflows and increase efficiency in reliability operations.
Requirements
Minimum of 4 years of experience in cloud engineering, systems administration, or site reliability engineering.
Strong proficiency with AWS (or another major cloud platform such as GCP or Azure) and infrastructure‑as‑code tools.
Hands‑on experience with Kubernetes, serverless technologies, and automation frameworks.
Proficiency in a programming language such as Python, Go, or TypeScript.
Solid understanding of observability practices and tools like Grafana, Datadog, Prometheus, and Sentry.
Excellent analytical and problem‑solving skills with a passion for improving performance and reliability.
Strong communication and documentation abilities to share knowledge across teams.
Eagerness to explore and apply AI technologies to improve operational processes.
Ability to work independently in a remote‑first environment and collaborate effectively across regions.
Benefits
Competitive salary packages with equity and performance‑based bonuses.
Transparent and equitable compensation philosophy focused on impact and growth.
Comprehensive healthcare and wellness benefits.
Fully remote work model offering flexibility and autonomy.
Inclusive, collaborative, and global work environment that values diversity and innovation.
Professional development opportunities and access to leading‑edge tools and technologies.
Opportunity to influence large‑scale infrastructure initiatives with measurable business impact.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
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Accountabilities
Design, operate, and optimize AWS‑based infrastructure using Terraform, Helm, and Kubernetes to ensure scalability and high availability.
Strengthen observability through effective monitoring, logging, and alerting systems to improve incident detection and resolution times.
Automate key workflows and reduce manual tasks to enhance engineering productivity and operational consistency.
Partner with software and cloud engineering teams to improve the resilience and performance of services under heavy workloads.
Participate in building the next‑generation architecture supporting regional expansion and data residency requirements.
Contribute to on‑call rotations, manage incidents calmly, and document learnings to prevent recurrence.
Experiment with and adopt AI tools to streamline workflows and increase efficiency in reliability operations.
Requirements
Minimum of 4 years of experience in cloud engineering, systems administration, or site reliability engineering.
Strong proficiency with AWS (or another major cloud platform such as GCP or Azure) and infrastructure‑as‑code tools.
Hands‑on experience with Kubernetes, serverless technologies, and automation frameworks.
Proficiency in a programming language such as Python, Go, or TypeScript.
Solid understanding of observability practices and tools like Grafana, Datadog, Prometheus, and Sentry.
Excellent analytical and problem‑solving skills with a passion for improving performance and reliability.
Strong communication and documentation abilities to share knowledge across teams.
Eagerness to explore and apply AI technologies to improve operational processes.
Ability to work independently in a remote‑first environment and collaborate effectively across regions.
Benefits
Competitive salary packages with equity and performance‑based bonuses.
Transparent and equitable compensation philosophy focused on impact and growth.
Comprehensive healthcare and wellness benefits.
Fully remote work model offering flexibility and autonomy.
Inclusive, collaborative, and global work environment that values diversity and innovation.
Professional development opportunities and access to leading‑edge tools and technologies.
Opportunity to influence large‑scale infrastructure initiatives with measurable business impact.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Information Technology
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