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Title: Senior Site Reliability Engineer
Job Family/Job Family Group: Engineering
Job Level: Senior
About the Role
As a Senior Site Reliability Engineer, you'll join a dedicated, 100% remote team working closely with a major global client in the healthcare and life sciences industry. You will play a pivotal role in ensuring the reliability, scalability, and security of public-facing services by implementing SLOs, automating toil, and managing robust observability platforms. We are looking for someone who is highly communicative, proactive, and thrives in an open, tech-centric culture. You must be comfortable taking the initiative, mentoring fellow engineers, and confidently communicating technical solutions in fluent English to both technical peers and client stakeholders.
Responsibilities:
Implement and maintain SLOs, SLIs, and error budgets for owned services to balance reliability with feature development.
Build and maintain observability across services using metrics, logs, traces, and alerting to ensure actionable signals tied to user impact.
Lead capacity planning, load testing, and resilience testing for critical, public-facing services.
Automate manual processes and toil to improve operational efficiency, minimize human error, and streamline CI/CD pipelines.
Contribute to the platform's reliability through Terraform and Kubernetes configuration on AWS, strictly adhering to Cloud Platform standards.
Participate in on-call rotations and incident management, responding with urgency, troubleshooting complex issues, and driving blameless postmortems.
Mentor and guide other engineers, fostering a culture of operational excellence, knowledge sharing, and continuous learning within the team.
About You
The essentials:
Strict geographical requirement: You must be currently residing in Costa Rica (role is 100% remote within the country).
Extensive hands-on experience as a Site Reliability Engineer managing production systems, including implementing SLOs, error budgets, and incident response.
Working proficiency managing infrastructure with Kubernetes and Terraform on AWS environments.
Deep experience with observability platforms (such as Datadog) and designing effective, actionable alert systems.
Strong scripting and programming skills (e.g., Python, Go) for automation and custom tooling.
Outstanding communication skills and fluent English; you must be proactive, participate actively with your camera on, and comfortably articulate technical solutions without relying on AI-generated scripts.
Not a Must but a Plus:
Experience using agentic AI tools (e.g., Claude Code, MCP-based integrations) to automate engineering or operational workflows with appropriate guardrails and human oversight.
At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants from all backgrounds who are excited to contribute to our mission.
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About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum…