Senior Platform Engineer (w/m/d)

Clera

Munich, Germany

On-site

Who this role is best for

Geared toward backend engineers comfortable with real-time AI systems and platform reliability, with a preference for those experienced in TypeScript and Kubernetes, and open to hybrid work in Munich.

Best fit for

Candidates with 3+ years of backend experience and a track record of building reliable AI systems with TypeScript
— “At least 3 years of backend engineering experience, including 3 or more years building production systems with TypeScript.”
Individuals who have previously worked on observability, deployment safety, and incident management in production environments
— “Experience improving platform reliability and performance under production load, including instrumentation, observability, and root-cause analysis.”
Engineers who are comfortable with DevOps workflows and can contribute to both backend and frontend work when needed
— “Experience writing application code alongside DevOps or SRE work; comfort contributing to frontend code when needed.”

Things to consider

No visa sponsorship available, which may limit eligibility for non-EU candidates
— “Visa sponsorship is not available.”
The role requires a hybrid arrangement, with some in-office presence in Munich
— “Hybrid work arrangement in Munich, Germany.”

How to stand out

Highlight experience with real-time data handling and multi-provider LLM request routing in your resume and interviews
— “Integrate AI products that handle data from external sources and multiple systems in real time.”
Demonstrate your ability to make architectural decisions that balance system quality and simplicity
— “Make architectural decisions that improve system quality while keeping designs simple and maintainable.”
Showcase your hands-on experience with Kubernetes, Docker, and observability tools in production settings
— “Production experience with Docker and Kubernetes, plus strong system design skills and sound reasoning about performance, latency, and cost.”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Integrated AI products handling real-time data
Monitored latency, costs, and error rates
Built and improved observability and incident practices

Typical background

3+ years of backend engineering experience3+ years building production systems with TypeScript

Skills & requirements

Required

TypeScriptDockerKubernetesPostgreSQLApisQueuesCachingObservabilityIncident Practices

Preferred

CI/CDZero-downtime MigrationsRollback-capable DeploymentsSecure DefaultsPermissionsStructured Incident Reviews

Stack & domain

Backend EngineeringTypeScriptDockerKubernetesSystem DesignPerformanceLatencyCostPostgreSQLApisQueuesCachingPlatform ReliabilityInstrumentationObservabilityRoot-cause AnalysisStreaming ResponsesLLM Request RoutingDevOpsSREFrontend CodeCI/CDZero-downtime MigrationsRollback-capable DeploymentsSecure DefaultsPermissionsStructured Incident ReviewsLeadershipCommunicationAIPlatform Engineering

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an engineering team building an AI platform for business use. You will shape the platform foundations that support reliable, performant AI products and help keep systems clear and maintainable as they handle real-time data and production workloads.
WHAT YOU'LL DO
Integrate AI products that handle data from external sources and multiple systems in real time.
Route streaming responses and LLM requests across providers, using fallback and cost-aware logic.
Monitor latency, costs, and error rates, then act proactively to prevent performance or reliability issues.
Make architectural decisions that improve system quality while keeping designs simple and maintainable.
Build and improve observability, deployment safety, and incident practices to identify root causes and prevent repeat issues.
WHAT WE'RE LOOKING FOR
At least 3 years of backend engineering experience, including 3 or more years building production systems with TypeScript.
Production experience with Docker and Kubernetes, plus strong system design skills and sound reasoning about performance, latency, and cost.
Working knowledge of PostgreSQL, APIs, queues, and caching.
Experience improving platform reliability and performance under production load, including instrumentation, observability, and root-cause analysis.
Familiarity with streaming responses or LLM request routing across providers, including fallback and cost considerations.
Experience writing application code alongside DevOps or SRE work; comfort contributing to frontend code when needed.
Knowledge of CI/CD, zero-downtime migrations, rollback-capable deployments, secure defaults, permissions, and structured incident reviews is valuable.
COMPENSATION & BENEFITS
Base salary: €60,000 to €90,000 annually. Visa sponsorship is not available.
LOCATION
Hybrid work arrangement in Munich, Germany.

Source: Clera careers (Ashby)