Apply

Platform Engineer

Posted 4 months agoViewed

View full description

📍 Location: Spain

🔍 Industry: Travel

🏢 Company: Exoticca👥 251-500💰 $65,071,052 Series D 7 months agoTravel AccommodationsAdventure TravelReservationsTravel

🪄 Skills: AWSDockerPythonSQLBashCloud ComputingGCPJenkinsKubernetesMicrosoft AzureAmazon Web ServicesAzureGrafanaPrometheusNosqlCollaborationCI/CD

Requirements:
  • Proficiency in cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Certification is a plus.
  • Strong scripting and programming skills in languages like Python, Bash, or PowerShell for automation, infrastructure as code (IaC), and scripting tasks.
  • Proficient with containerization technologies like Docker and container orchestration platforms such as Kubernetes.
  • Familiarity with configuration management tools like Ansible, Chef, or Puppet for managing infrastructure configurations.
  • Knowledge of continuous integration and continuous deployment (CI/CD) practices and tools such as Jenkins or Github.
  • Understanding of networking principles, including TCP/IP, DNS, load balancing, and VPN technologies.
  • Proficiency in monitoring and observability tools like Prometheus, Grafana, or Datadog.
  • Strong understanding of security best practices and experience implementing security controls within cloud environments.
  • Knowledge of database technologies such as SQL and NoSQL databases, including configuration, optimization, and replication strategies.
Responsibilities:
  • Design and architect multi-cloud-based infrastructure and services that meet performance, availability, and security requirements. Develop architectural patterns, standards, and best practices to guide platform development and evolution.
  • Automate deployment and configuration processes to ensure consistency, reliability, and scalability.
  • Optimize containerized workloads for performance, scalability, and resource efficiency.
  • Design CI/CD pipelines to automate software build, test, and deployment processes.
  • Configure dashboards and reports to track key metrics, identify trends, and troubleshoot issues proactively. Respond to incidents and outages, performing root cause analysis and implementing remediation actions.
  • Implement security controls and best practices to protect infrastructure, data, and applications from threats and vulnerabilities. Conduct regular security assessments, audits, and compliance checks to ensure adherence to industry standards and regulations.
  • Monitor resource utilization and performance metrics to identify optimization opportunities and prevent capacity constraints, incorporating financial operations (FinOps) to manage cloud spending effectively.
  • Stay informed about emerging technologies, industry trends, and best practices in cloud computing and platform engineering. Evaluate new tools, services, and methodologies to improve platform capabilities, performance, and efficiency. Lead research and development initiatives to prototype and validate innovative solutions for future platform enhancements.
Apply

Related Jobs

Apply

📍 UK, Europe, Africa

🧭 Full-Time

🔍 Fintech

🏢 Company: M-KOPA

  • Experience managing machine learning infrastructure in production
  • Working with infrastructure-as-code tools such as Azure Bicep, Terraform, ARM, CloudFormation or similar
  • Good practical experience in data engineering
  • Experience with Kubernetes or other platforms for containerized applications
  • Working with orchestration systems such as Apache Airflow
  • Proficiency in programming languages (Python, C#, Java, etc.)
  • Certification in Azure Solutions Architect Expert or similar
  • Designing and implementing architectures to streamline exploration, training, deployment and monitoring of machine learning models.
  • Building and maintain CI/CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows.
  • Implementing version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices.
  • Automating and managing infrastructure for data pipelines, machine learning model training, and serving using Azure and infrastructure-as-code tools.
  • Establishing infrastructure and engineering patterns to feature engineering and reuse across suite of models.
  • Developing workflows for model validation, testing, and deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration.

PythonApache AirflowKubernetesMachine LearningMLFlowAzureData engineeringCI/CDTerraformData analytics

Posted 7 days ago
Apply
Apply

📍 USA

🧭 Full-Time

💸 80000.0 - 200000.0 USD per year

🔍 Software Development

🏢 Company: Sourcegraph👥 101-250💰 $150,000,000 Series D over 3 years agoDeveloper ToolsDeveloper PlatformSoftware

  • Clear and empathetic communication skills.
  • Deep expertise in PostgreSQL, including query optimization and troubleshooting.
  • Proven ability to collaborate across engineering teams.
  • Experience with monitoring tools for database performance observability.
  • Strong understanding of database cost management strategies.
  • Familiarize with the current database architecture and key pain points.
  • Collaborate with teams to identify optimizations and develop improvement plans.
  • Implement optimizations for query performance and data latency.
  • Establish and document database best practices.
  • Lead foundational design changes for scalability and reliability.
  • Collaborate to design telemetry pipelines and reduce data failures.
  • Design self-service database architecture for future growth.

PostgreSQLCollaboration

Posted 17 days ago
Apply
Apply

📍 EU

🔍 E-pharmacy

  • Several years of experience as a DevOps Engineer, focusing on Azure cloud environments and Kubernetes.
  • Proficiency in Terraform and Azure DevOps with hands-on experience in automating complex deployments.
  • Strong understanding of CI/CD pipelines, version control using Git/GitHub, and cloud security practices.
  • Ability to tackle challenges in cloud Data & AI platform automation and improve system performance.
  • Design and implement CI/CD pipelines using Azure DevOps or GitHub Actions for platform deployment.
  • Develop and maintain Infrastructure as Code (IaC) using Terraform to automate processes.
  • Implement robust monitoring, logging, and alerting mechanisms for Azure-based Data & AI systems and Kubernetes.
  • Support efforts in DevSecOps, ensuring secure software delivery with tools for SAST, DAST, and vulnerability scanning.
  • Collaborate with the MLOPS Team for AI project implementations, including Azure Data Lake and data pipeline automation.

GitKubernetesAzureCI/CDTerraform

Posted about 1 month ago
Apply
Apply
🔥 Staff Platform Engineer
Posted about 1 month ago

📍 Germany, Italy, Netherlands, Portugal, Romania, Spain, UK

🔍 Corporate wellness

  • Proven technical experience with AWS cloud services, Kubernetes, and software engineering.
  • Deep knowledge of Kubernetes and its ecosystem.
  • Solid knowledge of observability systems.
  • Experience with operator-managed Infrastructure as Code, preferably crossplane or Kubernetes Operators.
  • Ability to write software for production environments.
  • Excellent analytical and problem-solving skills, and proven experience in identifying solutions for complex problems.
  • Collaboration and learning-driven mindset.
  • CNCF Kubernetes Certifications (e.g. CKA, CKS, or CKAD).
  • AWS Certifications.
  • Excellent communication skills in both English and Portuguese, both verbally and in writing.
  • Help to build a global, secure, scalable, and cost-effective Cloud platform using Kubernetes in AWS.
  • Develop and evolve Kubernetes operators and other cloud-native automation in Kubernetes.
  • Build products and tools enabling engineering teams to create and maintain their cloud resources autonomously.
  • Help to ensure security and compliance by delivering secure products and implementing DevSecOps integrations.
  • Improve observability, reliability, and cost awareness.
  • Support engineering teams in the products and tools usage.
  • Build and maintain a modern CI/CD set of tools and services.
  • Keep all the Kubernetes clusters highly available and reliable.
  • Contribute to our product documentation (e.g., user guide, configurations, operations, and troubleshooting procedures).
  • Participate in the definition of standards, RFCs, guidelines and best practices.
  • Live the mission: inspire and empower others by genuinely caring for your own well-being and your colleagues.

AWSPythonKafkaKubernetesRubyGrafanaPrometheusCI/CD

Posted about 1 month ago
Apply
Apply

📍 Spain

🧭 Full-Time

💸 75000.0 - 85000.0 EUR per year

🔍 Healthcare technology

  • Vast experience with container orchestration platforms like Kubernetes (must-have).
  • Knowledge of Terraform and popular CI/CD tools.
  • Experience building scalable and secure production HA environments using AWS.
  • Ability to develop tools or scripts in Bash or GO for automation.
  • English communication skills (min. B2 level).
  • Growth mindset and willingness to learn.
  • Development, monitoring, and maintenance of Kubernetes clusters on several continents.
  • CI/CD development and maintenance.
  • Ensure all services are highly available.
  • Fix urgent issues and optimize performance.
  • Support other team members in their daily work.

AWSBashKubernetesGoCI/CDTerraformEnglish communication

Posted 3 months ago
Apply
Apply

📍 United States, Netherlands, United Kingdom, Ireland, Spain, Estonia, Portugal, France, Sweden, Canada

🔍 Climate Intelligence

🏢 Company: Overstory👥 1-10E-Commerce

  • Experience of working in a high growth scale-up environment.
  • Proven experience of backend development across technologies such as Python, Postgres DB, Redis.
  • Comfortable working in a build it, run it environment (GCP, cloud run, grafana, k8s).
  • Ability to design and implement scalable and resilient systems.
  • Excellent communication skills and ability to collaborate effectively in a cross-functional team environment.
  • Passion for learning and staying updated with evolving technologies.
  • Design and implementation of the Overstory platform by contributing to the codebase with well written and tested code.
  • Collaboration with other engineers to evolve the architecture of the platform.
  • Supporting other engineering teams by being a platform ambassador and promoting paved paths and best practices.
  • Reduce the amount of manual work required to run vegetation analysis algorithms.

Backend DevelopmentPythonSoftware DevelopmentGCPAlgorithmsGrafanaPostgresRedisCommunication SkillsCollaboration

Posted 4 months ago
Apply