Infrastructure Engineer

Focal Systems

. Design, operate, and continuously improve core infrastructure, including cloud, data pipelines, deployments, and observability .

Posted 11/3/2026full-timeRemote • PolandMid-LevelSenior💰 $102,000 - $117,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable, data-heavy backend infrastructure using Python, FastAPI, and cloud platforms, while implementing CI/CD practices and observability tools to ensure system reliability and performance. Proficient in collaborating with cross-functional teams to evolve infrastructure in alignment with product and model requirements.

Highest-signal resume keywords

Python Software DevelopmentGCP Production ExperienceKubernetes and Docker in ProductionInfrastructure-as-Code with TerraformObservability with Prometheus

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonFastAPIKafkaDockerTerraformPrometheusCI/CDMySQLMongoDBCircleCI

Soft Skills

Advanced English CommunicationGlobal Team Coordination

Tools & Technologies

GCPKubernetesHelmCI/CD ToolingDeployment Pipelines

Industry Keywords

Infrastructure EngineeringDevOps EngineeringData PipelinesMicroservicesObservability

Tech Stack

Tools & technologies

CloudDockerGoogle Cloud PlatformKafkaKubernetesMicroservicesMongoDBMySQLPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, operate, and continuously improve core infrastructure, including cloud, data pipelines, deployments, and observability
Drive reductions in COGS and latency while maintaining reliability
Architect and maintain scalable, data-heavy backend infrastructure using Python, FastAPI, Kafka, Docker, and cloud platforms
Build and operate deployment pipelines, including blue/green and canary deployments, CI/CD tooling, and release processes supporting zero-downtime launches
Design and implement monitoring and alerting systems for visibility into system health across geographies and environments
Create tooling providing transparent access to data stored across geographic locations and formats
Collaborate with backend, deep learning, and embedded engineering teams as infrastructure evolves with product and model requirements

Requirements

What you’ll need

5+ years in infrastructure, platform, or DevOps engineering
Production experience with GCP at scale
Kubernetes, Helm and Docker in production
Python software development experience
Infrastructure-as-code with Terraform
Observability with Prometheus, including metrics, alerting, and instrumentation
Solid CI/CD fundamentals and deployment strategies, including blue/green, canary, and feature flags
MySQL, query tuning, and operational knowledge are a bonus
MongoDB, Kafka or comparable streaming platforms, and CircleCI are nice to have
Experience with data-intensive applications and microservices at scale is nice to have
Advanced written and spoken English
Comfortable coordinating across time zones with a global team
Comfortable with a shared on-call rotation

Benefits

Comp & perks

Stock options / attractive stock
Full benefits with Employment Contract option
Paid Time Off
Team Retreats
Education grants