Senior Platform Engineer - AI Infrastructure & Observability (m/f/d)

Your Role

We’re looking for a Senior Platform Engineer (m/f/d) excited about building infrastructure for AI-first applications . You’ll own our cloud platform — from Kubernetes clusters running real-time voice agents to ClickHouse analytics pipelines processing millions of events daily.
You’ll tackle novel observability challenges such as monitoring ClickHouse cluster health , ensuring sub-200ms latency for voice AI, and tracking data pipeline quality .
We’re AI-first not just in what we build, but in how we operate — leveraging AI-native tools for incident response and building automation that uses LLMs to accelerate debugging and root cause analysis .

Your mission

• Automate Incident Management: Implement AI-native incident management tools to accelerate response and automate root cause analysis.
• Manage Cloud Infrastructure: Operate and optimize AWS EKS infrastructure with Terraform , tailored for AI workloads and analytics pipelines.
• Ensure Data Reliability: Maintain ETL workflows , ClickHouse cluster health , and batch jobs , ensuring data freshness and quality.
• Optimize System Performance: Design API failover strategies , implement caching layers, and continuously optimize infrastructure.
• Improve Developer Experience: Maintain Skaffold-based local development environments, enhance CI/CD pipelines , and build internal productivity tooling.
• Enhance Observability: Implement and monitor SLOs , use AI tools for log analysis , and improve visibility through structured logging .

Your profile: What you need to succeed

• Infrastructure Expertise: 5+ years of software engineering experience and 3+ years running Kubernetes in production (AWS EKS preferred).
• IaC Mastery: Strong Terraform and GitOps workflows experience, with deep AWS knowledge (VPCs, RDS, ElastiCache, Lambda).
• Data & AI Focus: Experience monitoring ETL pipelines and analytics workloads (ClickHouse, Redshift, BigQuery), and excitement for AI-native operations tools such as log analysis or automated remediation.
• Backend & Leadership: Proficient in Python or Kotlin/Java , familiar with FastAPI , Spring Boot , Django , or gRPC . Able to work independently, mentor others, and drive technical decisions.
• Mindset: Strong written communication skills, comfort with ambiguity, and motivation to build at the intersection of AI and infrastructure .

Why Acto?

• Development Opportunities : Steep development opportunities without entrenched hierarchies.
• Culture: We are an ambitious team that wants to achieve a lot with Acto, but we don't take ourselves too seriously and like to have fun together, be it working together or at regular team events.
• Flexibility: Berlin-based with flexible remote work. You can work from home often, with regular in-person time in our Berlin office, particularly for key meetings and collaboration.
• Health & work-life balance: Enjoy 30 days of vacation and an attractive Wellhub membership.
• Ownership: Whether you are an intern or a full-time acto-naut, Acto instills a deep sense of ownership, where every team member is entrusted with meaningful responsibilities and the autonomy to make impactful decisions.
• Equipment: You will receive a state-of-the-art hardware setup with a choice between Mac and Windows.

About us

At Acto, we’re building agentic AI systems that go beyond chat, systems that reason, act, and deliver results across complex real-world workflows for field sales teams.
Our mission is to turn enterprise data and tools into intelligent, decision-capable agents that support people where it matters: in meetings, in daily operations and on the road. We're a small, product-focused team combining deep experience in AI, ML engineering, and systems design.
We started in 2021 and since then have not only been able to win renown medium-sized companies as customers, but also bring experienced investors such as 468 Capital and Cusp Capital on board.