emagine is looking for a Site Reliability Engineer to our client.
Start: ASAP
Length: 6 months with possible extension
Location: On-site in Stockholm
We are looking for a Site Reliability Engineer who enjoys understanding how software behaves in production. When a service is slow, unstable, or repeatedly failing, you want to dig into the root cause, improve the system, and make sure the issue stays solved.
In this role, you will work closely with engineering teams to improve the reliability, performance, and observability of modern distributed systems. You will write code, build tooling and tests, investigate incidents, and help teams create services that are easier to monitor, troubleshoot, and operate.
This is a hands-on engineering role where you will take improvements from investigation through implementation and production, working together with product, platform, infrastructure, and development teams.
What you will do
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Investigate failures and performance issues across services, databases, queues, and third-party dependencies, and implement improvements together with engineering teams.
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Improve observability through metrics, logging, and distributed tracing to enable faster troubleshooting and better insights into system behavior.
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Build dashboards and meaningful alerting based on service objectives, while reducing alert noise and improving incident response.
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Develop load, stress, and recovery tests to understand system limits and validate resilience under real-world conditions.
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Automate operational processes and improve tooling and runbooks to reduce manual work and increase reliability.
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Participate in incident management, root cause analysis, and preventive follow-up activities.
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Collaborate with CI/CD and platform teams to improve release quality, deployment confidence, and rollback strategies.
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Measure and evaluate the impact of reliability improvements through data and operational metrics.
What you bring
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Experience building, operating, or improving production systems and services.
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Strong software engineering skills and experience writing maintainable, well-tested code.
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Experience working with observability platforms, including metrics, logs, and distributed tracing.
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Good understanding of distributed systems and common failure scenarios such as retries, timeouts, concurrency issues, and resource bottlenecks.
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Ability to troubleshoot complex technical challenges across multiple systems and stakeholders.
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Strong communication skills and the ability to collaborate effectively during incidents and problem-solving initiatives.
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A pragmatic mindset with the ability to prioritize improvements that create real operational value.
Nice to have
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Experience working with SLOs, SLIs, error budgets, and modern reliability practices.
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Experience with load testing, chaos engineering, resilience testing, or automated recovery processes.
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Hands-on experience with Kubernetes, cloud platforms such as AWS, Azure, or GCP, and databases such as PostgreSQL.
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Experience working in environments with high availability, security, and operational requirements.
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