Onsite
A hands‑on, individual-contributor role. You’ll be a technical owner who designs and builds observability foundations for cloud-native services — and for the organisation’s LLM/AI stack — helping engineering teams across EMEA get the right telemetry, runbooks, and dashboards to operate safely and efficiently.
Architect, build, and operate end-to-end observability for metrics, traces, and logs — including telemetry pipelines, dashboards, storage/retention policies, and alerting.
Build LLM/AI observability primitives
Deliver reusable instrumentation templates, SLOs/SLIs, dashboards, and alerting bundles for critical AI paths.
Instrument services and libraries (OpenTelemetry or equivalent); provide developer-facing libraries and patterns to ensure consistent telemetry across services.
Onboard and upskill acquired and existing EMEA teams: create playbooks, run training sessions, and enable teams to adopt observability best practices and shared tooling.
Coordinate closely with Reliability/SRE, Platform, Security, and Cost teams to ensure telemetry is secure, privacy-compliant, cost-efficient, and scalable.
Reduce toil by automating repetitive tasks and improving developer experience for observability (CI integrations, auto-provisioned dashboards, alert templates).
Drive cross-team alignment on telemetry schemas and naming conventions
Participate in on-call rotations and provide timely operational support when incidents occur.
Influence roadmap and practises through technical proposals, design reviews, and cross-functional collaboration.
5+ years of software engineering experience with at least 3 years focused on observability, SRE, or monitoring.
Hands-on experience with observability tooling (Datadog, Grafana, Prometheus, OpenTelemetry, or equivalent).
Experience building telemetry for ML/AI systems or demonstrated understanding of model monitoring concepts (drift detection, prediction quality, inference telemetry).
Strong knowledge of distributed systems and cloud-native environments (Kubernetes, AWS).
Production coding skills in at least one of: Go, Python, or Ruby — able to build instrumentation, services, and automation.
Experience designing telemetry pipelines at scale, including retention/cost tradeoffs and data validation.
Practical experience defining SLOs/SLIs and tuning alerting to be actionable and low-noise.
Strong communicator — able to lead enablement, write clear playbooks, and influence cross-functional stakeholders.
Eligibility to work in Poland.
Experience with modern observability tools and platforms (OpenTelemetry for ML, Jaeger, Jaeger+OTel, Seldon, MLflow, Feast).
Experience with Datadog for APM and model telemetry at enterprise scale.
Knowledge of data privacy and security considerations for telemetry (PII handling, encryption, retention policies).
Prior experience onboarding acquired teams or driving cross-region enablement and training.
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The Poland annualized base salary range for this position is zł257,000.00-zł385,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.The intelligent heart of customer experience
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Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
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