Data Platform Engineer

Akvelon, Inc.; Portugal; Hybrid; EUR 35,000 - 55,000; Full time

Job summary

A fast-growing AI solutions provider is looking for a Data Platform Engineer to join their team in Portugal. You will manage and optimize ClickHouse clusters, operate Kafka and OpenSearch, and deploy applications on Kubernetes. Ideal candidates should have strong programming skills in Python and experience with generative AI APIs. The role offers the chance to work with cutting-edge technologies in a supportive environment, communicating with cross-functional teams to deliver collaborative solutions.

Qualifications

• Experience building software that uses LLM or generative AI APIs.
• Hands on experience using AI coding assistants like GitHub Copilot or similar.
• Ability to design experiments and measure impact on quality, cost, and performance.

Responsibilities

• Manage, monitor, and optimize ClickHouse clusters in production.
• Operate and maintain Kafka clusters and OpenSearch deployments.
• Deploy and manage containerized applications on Kubernetes.
• Implement and maintain GitOps workflows for deployment processes.

Skills

Strong programming skills in Python

Experience with generative AI APIs

Experience using AI coding assistants

Good communication skills

Tools

Kafka

OpenSearch

Kubernetes

Job description

Join to apply for the Data Platform Engineer role at Akvelon, Inc.

A fast-growing provider of AI povered solutions is scaling its operations. With a strong customer base and increasing demand, the existing engineering team is under pressure to handle both infrastructure improvements and customer-facing support. To meet this growth, the company is looking to add an Infrastructure Engineer in a team of two (will be a third engineer), supporting Kafka, Redis, Opensearch, RabbitMQ, ClickHouse for products.

Responsibilities

• Manage, monitor, and optimize ClickHouse clusters in production, including schema design, query performance tuning, replication configuration, and capacity planning.
• Operate and maintain Kafka clusters, OpenSearch deployments, and other distributed systems, ensuring high availability and optimal performance.
• Deploy, configure, and manage containerized applications and stateful workloads on Kubernetes, implementing best practices for resource management and scaling.
• Implement and maintain GitOps workflows for infrastructure and application deployments, ensuring version-controlled and automated deployment processes.
• Design and implement comprehensive monitoring, logging, and alerting solutions for distributed systems, enabling proactive issue detection and rapid troubleshooting.
• Conduct performance analysis, identify bottlenecks, and implement optimizations across distributed systems to meet SLA requirements and improve system resilience.
• Create and maintain technical documentation, runbooks, and operational procedures while collaborating with development teams to ensure smooth integration and operations.

Requirements

• Strong programming skills in Python, TypeScript, or similar.
• Experience building software that uses LLM or generative AI APIs.
• Hands on experience using AI coding assistants like GitHub Copilot, Cursor, Claude Code, or similar.
• Understanding of LLM fundamentals, e.g., tokenization, context limits, temperature, prompt structure.
• Experience with RAG, agents, or function calling in production.
• Ability to design experiments and measure impact on quality, cost, and performance.
• Good communication skills and ability to work with cross functional teams.

Nice to have

• Experience with cloud environments like AWS, GCP, or Azure.
• Background in NLP, ML, or developer tools.

Working conditions: CET business hours

Location: Serbia, Portugal, Poland

Seniority level

• Associate

Employment type

• Contract

Job function

• Industries: Software Development