Platform & Systems Engineer – Power Systems

EnliteAI

. Shape the architecture of larger repositories, including module boundaries, interfaces, testing strategy and maintainability decisions .

Posted 10/6/2026full-timeVienna • AustriaMid-LevelSenior💰 €65,000 - €90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Kubernetes architecture, containerized deployment, and CI/CD processes, with strong Python programming skills and the ability to collaborate effectively with cross-functional teams on complex projects.

Highest-signal resume keywords

Kubernetes Operator-Level ExperiencePython ProgrammingHelm Chart AuthoringCI/CD DevelopmentData Pipeline Infrastructure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsSystems DesignInterface DesignFailure Mode AnalysisContainerizationData Pipeline DevelopmentBackend Services DevelopmentAPI DevelopmentOrchestrationTesting Strategy

Soft Skills

Strong Communication SkillsSelf-DirectedCollaborative ApproachLow-Ego

Tools & Technologies

KubernetesHelmRedisMQTTKafka

Industry Keywords

Computer Science DegreeValid Work Permit for AustriaEU-Funded Projects

Tech Stack

Tools & technologies

KafkaKubernetesNode.jsPythonRedis

About the role

Key responsibilities & impact

Shape the architecture of larger repositories, including module boundaries, interfaces, testing strategy and maintainability decisions
Build and harden containerized deployment services on Kubernetes using Helm, Redis and related components
Own the demo and proof-of-concept path, enabling isolated seeded instances to be deployed quickly
Operate the Kubernetes cluster on company-owned hardware, including node lifecycle, GPU enablement, storage, networking, capacity planning and upgrades
Build infrastructure for data pipelines, including MQTT and Kafka brokers, topic and retention design, orchestration, storage, backend services and APIs
Build and harden CI/CD, developer tooling and the internal platform used by ML engineers and researchers
Collaborate with ML engineers, researchers and power systems experts on industrial and EU-funded projects

Requirements

What you’ll need

Fluent English with strong communication skills
Strong software engineering fundamentals, including systems, interfaces and failure modes
Solid Python experience in a substantial multi-person codebase
Kubernetes operator-level experience, including cluster upgrades, node replacement, and networking or storage troubleshooting
Experience authoring Helm charts
Self-directed and able to work without a detailed roadmap
Low-ego and collaborative approach
Degree in computer science or a related field, or equivalent practical experience
Valid work permit for Austria

Benefits

Comp & perks

Real ownership and mandate to make architectural decisions
Own Kubernetes cluster on own hardware
Work with a cross-disciplinary team spanning reinforcement learning, optimization, data and platform engineering, and power systems
Work at the interface of academia and industry on EU Horizon projects
Work on critical infrastructure supporting the energy transition
Hybrid working: 2–3 days per week at the Vienna office, with minimal core hours
Dedicated time and budget for R&D, conferences and professional development
Choice of hardware and equipment setup
Fully paid Klimaticket, providing unlimited access to public transportation and trains across Austria