Lead Engineer – Observability Platform
Indexed description
Miele Tehnica is a subsidiary of Miele & Cie. KG, Germany. We produce electronic components for a wide range of Miele appliances, such as washing machines, tumble dryers, vacuum cleaners, ovens and others. The products Miele offers to its customers set the standards for durability, performance, ease of use, energy efficiency, design and service.
At Miele, we are establishing a modern observability platform and telemetry ecosystem across applications, infrastructure, and customer-facing digital services. We are looking for a senior platform engineer who can architect and potentially own Miele’s observability platform from the ground up and evolve it into a scalable, company-wide capability.
This is not a pure delivery role. We are seeking someone who combines hands-on engineering excellence, platform thinking, and the ability to enhance and scale an enterprise-grade observability platform.
What will you do:
As a Lead Observability Platform Engineer, you will take a leading role in designing, implementing, and advancing Miele’s observability platform and operating model. You will:
- Define and drive the technical vision for observability across applications, infrastructure, and customer-facing services
- Own the observability platform as a product, including reliability, scalability, lifecycle management, and operational excellence
- Provide self-service capabilities, templates, standards, and enablement for engineering teams
- Design and implement scalable solutions for logs, metrics, traces, APM, RUM, and search
- Build and evolve telemetry pipelines, dashboards, alerts, detections, and integrations for internal stakeholders
- Contribute to adjacent domains such as security analytics, SIEM, XDR, and threat detection use cases
- Standardize and automate platform deployment, configuration, and lifecycle management
- Lead the onboarding of new use cases and drive the consolidation of existing monitoring and observability tooling
- Work closely with engineers, architects, security specialists, service owners, and vendors to deliver robust and future-ready solutions
- Translate business and operational needs into measurable technical outcomes such as SLIs, SLOs, SLAs, reliability indicators, and actionable insights
- Run technical evaluations, PoCs, and vendor assessments, ensuring decisions balance scalability, cost, flexibility, and data constraints
- Establish engineering standards, telemetry governance, and operational best practices to ensure scalable platform adoption across teams
- Evolve the observability platform as an internal product focused on reliability, usability, adoption, and engineering enablement
Why this role matters:
This role is part of a strategic transformation to establish a unified observability and monitoring capability across Miele. The goal is not simply to implement tools, but to create an end-to-end ecosystem that turns telemetry data into operational intelligence, enabling engineering teams to operate reliable, measurable and observable services resulting in better customer experience.
You will play a key role in building the technical foundation for operational intelligence, reliability engineering, and digital experience monitoring across the organization.
About you:
You have a strong platform engineering mindset and enjoy building scalable observability ecosystems that cover telemetry pipelines, monitoring, alerting, search, and digital experience monitoring.
What you bring:
- Several years of experience in a senior engineering role such as Software Engineer, DevOps Engineer, SRE, Platform Engineer, or Security Engineer
- Strong experience with observability platforms.
- Exposure to tools such as Splunk, Elastic, Dynatrace, Grafana, Datadog, New Relic, or similar platforms
- Experience with search, data pipelines, ingestion, retention, and analytics
- Understanding of telemetry cost, governance, sampling, and optimization
- Experience working with cloud platforms, Linux, Docker, Kubernetes, and distributed systems
- Scripting or automation skills in Python, Ruby, or similar languages
- Familiarity with APM, RUM, synthetic monitoring, alerting, incident management, and ITSM integrations
- Experience defining and measuring SLIs, SLOs, SLAs, and monitoring KPIs
- Experience in vendor evaluation, technical PoCs, and platform selection processes
- Strong communication skills with the ability to bridge technical and business stakeholders
- A proactive, analytical, and growth-oriented mindset
What makes you successful:
The right person for this role combines strong platform engineering capabilities with deep technical expertise and long-term strategic thinking. You will connect business outcomes with engineering decisions, design scalable systems, and enable teams through automation, self-service capabilities, and clear operational standards.
Most importantly, you care about impact: building an observability capability that improves reliability, efficiency, transparency, and decision-making across the organization.
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