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🔥 Staff Quality Engineer
Posted about 3 hours ago

📍 North America, Europe, the Middle East, and APAC

🔍 ICS/OT Cybersecurity

🏢 Company: Dragos

  • 7+ years software test experience focused primarily on UI/backend manual and automation testing
  • Strong knowledge of networking, Linux, UNIX, Kubernetes, Routers, Switches and security domain (Firewall,IPS, IDS)
  • Experience on automation framework with Python, Pytest or similar
  • Experience with testing cloud-native/SaaS application stacks using automated tooling as part of CICD pipelines
  • Experience working with agile/scrum/product operating methodologies
  • Experience with Playwright highly desired
  • Well-versed in designing, building, and maintaining test environments (Both automation and manual testing)
  • Experience designing and implementing test cases for systems with REST APIs
  • Experience with Git or similar version control system
  • Work on a product team consisting of UI developers, backend developers, a tech lead, a product manager, and data engineers.
  • Focus on delivery of value and quality for all the given Product Team focus areas within the Dragos Platform.
  • Develop test strategy, test topology and test plan to validate the solutions end-to-end at scale as it pertains to the Product Team focus areas.
  • Execute test cases and validate the solution end-to-end and document the test results, performance, and convergence results
  • Collaborate with Product Team members to review test strategies/plans for new features.
  • Debug and troubleshoot complex issues and work closely with the Product Team on the failures and validate the fixes
  • Develop automation for the end-to-end solution validation and integrate the automation for seamless validation

Backend DevelopmentDockerPythonAgileBashCloud ComputingCybersecurityGitJUNITKubernetesQA AutomationAPI testingManual testingREST APITestRailSeleniumCI/CDLinuxDevOpsNetworkingQuality AssuranceScriptingSoftware EngineeringSaaS

Posted about 3 hours ago
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🔥 Senior Software Engineer
Posted about 3 hours ago

📍 North America, Europe, the Middle East, and APAC

🔍 ICS/OT Cybersecurity

🏢 Company: Dragos

  • 4+ years of experience with JVM-based languages in complex, scalable environments.
  • Experience with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., Elasticsearch, MongoDB).
  • Experience working within microservices architecture.
  • Experience designing, implementing, and maintaining features in complex software systems.
  • Exposure to Go and Python in production environments.
  • Understanding of cloud-first development and deployment.
  • Plan, develop, and test large-scale projects efficiently.
  • Provide feedback through code reviews and system design reviews with your team.
  • Offer technical input throughout the development lifecycle, collaborating with your team to shape features.
  • Follow established patterns and best practices, and evolve or develop them as needed.
  • Recommend product improvements based on stakeholder feedback.
  • Participate in regular peer feedback as part of our review cycle.

Backend DevelopmentPostgreSQLPythonCloud ComputingElasticSearchJavaJVMMongoDBGoCI/CDRESTful APIsMicroservicesSoftware Engineering

Posted about 3 hours ago
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📍 North America, Europe, the Middle East, APAC

🔍 ICS/OT Cybersecurity

🏢 Company: Dragos

  • 5+ years of proven experience in performance engineering
  • Strong Linux skills in administration and performance optimizations
  • Software development skills; specifically in Python.
  • Experience in performance tuning microservices and networks, various levels of application code, database layer (relational and non-relational databases), network stack, and operating system
  • An understanding of Java and the JVM, or a strong desire to learn
  • Experience with administration, monitoring, and tuning of big data application stacks and pipelines, i.e., Elasticsearch, Mongo, Airflow, RabbitMQ
  • An ability to go as deep down the stack as necessary to understand a system’s performance.
  • Strong knowledge of operating system internals is a major plus
  • Comfortable with Linux, Docker, Kubernetes, AWS, and GIT in terms of both tools and systems administration
  • Design and implement solutions to evaluate and improve the performance and scalability of Dragos products
  • Research industry best practices for application performance tuning, document and propose changes, test, and iterate to create an optimal set of performance configurations for different use cases and workloads
  • Analyze performance results and metrics to identify bottlenecks and opportunities for optimizations
  • Develop and enhance test frameworks and build virtual systems to isolate dependencies
  • As needed, perform root cause on performance and scalability support requests and contribute to product code to alleviate these issues
  • Read platform software code and understand the internal workings of the product
  • Define and develop tooling for load simulation, test automation, performance measurement and reporting

AWSDockerPythonSoftware DevelopmentBashElasticSearchGitJavaJVMKubernetesMongoDBRabbitmqCI/CDLinuxMicroservices

Posted about 3 hours ago
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🔥 Data Engineering Manager
Posted about 3 hours ago

📍 North America, Europe, the Middle East, APAC

🧭 Full-Time

🔍 Cybersecurity

🏢 Company: Dragos

  • 7+ years of engineering management experience, consistently building and leading highly effective teams
  • Strong technical background in distributed data systems
  • Prior experience as an engineer with strong working knowledge of technologies such as Airflow, the Elastic Stack, Docker, Kubernetes, and cloud platforms
  • Comfortable with hands-on development or troubleshooting
  • Excellent communication, leadership, and presentation skills
  • Management experience with Agile and working in cross-functional Product Teams
  • Detail oriented, takes initiative, and dedicated to quality
  • Knowledge of cybersecurity threat detections, threat intelligence, or ICS/OT security
  • Lead and mentor a team of data engineers, driving their technical growth and professional development.
  • Champion the vision and execution of scalable data processing systems.
  • Collaborate with product and engineering teams to consistently define data architecture and solution strategies.
  • Foster a strong technical community by developing close relationships amongst Engineering Managers.
  • Establish and drive engineering best practices, coding standards, and performance optimization strategies.
  • Provide guidance during software design, development, testing, and release.
  • Ensure timely delivery of projects, balancing technical debt and innovation.
  • Ensure support for fielded production deployments.
  • Stay current with emerging data technologies, frameworks, and best practices to drive continuous improvement.

DockerLeadershipPythonSQLAgileApache AirflowCloud ComputingElasticSearchETLKubernetesPeople ManagementCross-functional Team LeadershipData engineeringCI/CDRESTful APIsMentoringData visualizationTeam managementData modelingData management

Posted about 3 hours ago
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🔥 Senior Data Analyst
Posted about 3 hours ago

📍 Brazil, USA, Canada

🔍 Financial Services

  • Proven experience in data analytics: A strong track record of delivering impactful insights and recommendations through data analytics techniques.
  • Solid understanding of statistical methodologies: Experience applying statistical inference, regression analysis, hypothesis testing and other relevant techniques.
  • Strong proficiency in SQL: Ability to write complex queries to extract and manipulate data from various data sources.
  • Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus.
  • Excellent communication and presentation skills: Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
  • Strong problem-solving and critical thinking skills: Ability to define problems, develop hypotheses, and interpret analytical results to drive business value.
  • Business acumen: Ability to understand business objectives and translate them into analytical questions and solutions.
  • Fluent English.
  • Lead complex analytical projects: Define problem statements, formulate hypotheses, and execute rigorous analysis to uncover key trends, patterns, and opportunities across various business functions
  • Develop strategic insights and recommendations: Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders and leadership.
  • Collaborate with business partners: Work closely with business leaders to understand their strategic priorities and identify areas where analytics can provide significant impact.
  • Design and implement advanced analytical models: Utilize statistical techniques, machine learning concepts, and data mining methodologies to build predictive models, segmentation strategies and other advanced analytical solutions.
  • Data Visualization: Effectively communicate analytical findings and recommendations through compelling presentations and insightful dashboards using Amazon QuickSight.
  • Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices and promoting the use of data in decision-making.

AWSPythonSQLData AnalysisData MiningExcel VBAMachine LearningCommunication SkillsAnalytical SkillsProblem SolvingData visualizationData modelingData analytics

Posted about 3 hours ago
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📍 Japan

🧭 Full-Time

🔍 Cloud Migration & Modernization

  • Deep expertise within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
  • Enterprise IT application experience
  • Hands-on experience in at least one of the following: software development, DevOps engineering, systems administration, or systems architecture in public cloud AWS domain
  • In-depth knowledge of Windows and Linux Operating Systems
  • Must have experience driving for engineering solutions and working across teams
  • Extensive experience and judgment to plan and accomplish goals
  • Ability to apply general rules to specific problems to produce conclusions and responses.
  • Ability to communicate effectively, both verbal and written
  • Strong process improvement experience
  • High proficiency in Japanese Language (N1 or above)
  • Planning and execution of system migration from on-premises to the cloud (AWS, Azure, GCP)
  • Design, construction, and operational management of cloud environments
  • Modernization of applications utilizing cloud-native technologies and containerization
  • Definition of requirements with clients and conducting technical feasibility studies
  • Implementation of risk assessment and security measures associated with cloud migration
  • Support project management and coordination with stakeholders
  • Development of tools and scripts to promote automation and efficiency
  • Creation of technical documentation and technical guidance to team members

AWSDockerProject ManagementPythonSoftware DevelopmentCloud ComputingGCPKubernetesProject CoordinationAzureCommunication SkillsAnalytical SkillsCI/CDProblem SolvingMicrosoft OfficeRESTful APIsLinuxDevOpsTerraformMicrosoft Office SuiteNetworkingTeamworkAnsibleScriptingData analytics

Posted about 5 hours ago
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🔥 Senior Product Data Analyst
Posted about 6 hours ago

📍 Brazil

💸 60000.0 - 70000.0 USD per year

🏢 Company: LawnStarter👥 101-250💰 $10,500,000 over 5 years agoInternetMarketplaceOutdoorsLandscaping

  • 4+ years of experience in data & analytics
  • Experience with SQL and intermediate experience in Python or R.
  • Experience with Tableau and Metabase.
  • Empower the organization to be more data-driven.
  • Modeling & Analysis
  • Reporting
  • Analytics Engineering

PythonSQLData AnalysisETLTableauReportingData visualizationData modelingA/B testing

Posted about 6 hours ago
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🔥 HR Data Engineer
Posted about 8 hours ago

📍 United States

💸 94800.0 - 151400.0 USD per year

🏢 Company: careers_gm

  • 5+ years of experience in HR Data Engineer role leading HR data engineering transformation and implementing data pipelines and data solutions in the People Analytics/HR domain
  • Very good understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, engagement, employee listening, external benchmarking etc.)
  • Very good understanding of HCM data architecture, models and data pipelines and experience designing and implementing data integrations and ETLs with Workday (RaaS, APIs)
  • Experience designing and automating data and analytics solutions that can provide insights and recommendations at scale
  • Proficiency in SQL, R/Python and ETL tools
  • Deep expertise in modern data platforms (particularly Databricks) and end-to-end data architecture (DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog)
  • Experience with different authentication (Basic Auth, Oauth, etc.) and encryption methods and tools (GPG, Voltage, etc.)
  • Very strong data analytics skills and ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions
  • Knowledge of compliance and regulatory requirements associated with data management
  • Experience working in environments requiring strict confidentiality and handling of sensitive data
  • Great communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Degree with quantitative focus (e.g., Mathematics, Statistics) and/or degree in Human Resources is a plus
  • Design, develop, and maintain ETL/ELT processes for HR data from multiple systems including Workday to empower data-driven decision-making
  • Drive implementation of robust HR data models and pipelines optimized for reporting and analytics, ensuring data quality, reliability, and security for on-prem and Azure cloud solutions.
  • Develop pipelines and testing automation to ensure HR data quality and integrity across multiple data sources
  • Collaborate with People Analytics and HR business partners to understand data requirements and deliver reliable solutions. Collaborate with technical teams to build the best-in-class data environment and technology stack for People Analytics teams.
  • Ensure data integrity, quality, consistency, security, and compliance (e.g., GDPR, CCPA, HIPAA where applicable).
  • Design and implement secure processes for handling sensitive information in our data tech stack while maintaining appropriate access controls and confidentiality
  • Automate manual HR reporting and improve data accessibility through scalable data pipelines across the entire HR employee lifecycle
  • Troubleshoot and resolve data-related issues quickly and efficiently.
  • Contribute to HR tech stack evaluations and migrations, especially around data capabilities and API integrations.
  • Incorporate external data sources into internal datasets for comprehensive analysis
  • Manage and optimize platform architecture including Databricks environment configuration and performance optimization
  • Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain

AWSPythonSQLApache AirflowETLAPI testingAzureData engineeringNosqlRESTful APIsData visualizationData modelingData analyticsData management

Posted about 8 hours ago
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📍 Mexico, Colombia, Argentina, Peru

🔍 Software Development

🏢 Company: DaCodes

  • Experiencia comprobada en arquitecturas nativas de AWS para ingesta y orquestación de datos.
  • Manejo avanzado de herramientas y servicios para procesamiento de datos a gran escala (Spark, Lambda, Kinesis).
  • Conocimientos sólidos en modelado de datos open-table y arquitecturas de Data Lake y Data Warehouse.
  • Dominio de programación en Python o Scala para ETL/ELT y transformaciones.
  • Experiencia en aseguramiento de calidad de datos y monitoreo continuo (Great Expectations, Datadog).
  • Construir pipelines batch o micro-batch (SLA ≤ 24 horas) para ingesta de eventos y perfiles desde S3/Kinesis hacia almacenes de datos (Data Warehouse).
  • Automatizar DAGs específicos de campañas con AWS Step Functions o Managed Airflow, que se provisionan al inicio y se eliminan tras finalizar la campaña.
  • Modelar datos en formatos open-table particionados en S3 usando tecnologías como Iceberg, Hudi o Delta, con versionado por campaña.
  • Realizar cargas ELT a Redshift Serverless o consultas en Athena/Trino usando patrones de snapshot e incrementales.
  • Desarrollar transformaciones de datos con Glue Spark jobs o EMR en EKS para procesos pesados, y usar Lambda o Kinesis Data Analytics para enriquecimientos ligeros.
  • Programar en Python (PySpark, Pandas, boto3) o Scala para procesamiento de datos.
  • Implementar pruebas declarativas de calidad de datos con herramientas como Great Expectations o Deequ que se ejecutan diariamente durante campañas activas.
  • Gestionar pipelines de infraestructura y código mediante GitHub Actions o CodePipeline, con alertas configuradas en CloudWatch o Datadog.
  • Asegurar seguridad y gobernanza de datos con Lake Formation, cifrado a nivel de columna y cumplimiento de normativas como GDPR/CCPA.
  • Gestionar roles IAM con principio de mínimo privilegio para pipelines de campañas temporales.
  • Exponer modelos semánticos en Redshift/Athena para herramientas BI como Looker (LookML, PDTs) o conectados a Trino.

AWSPythonSQLDynamoDBETLData engineeringRedisPandasSparkCI/CDTerraformScalaA/B testing

Posted about 9 hours ago
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📍 Japan

🧭 Full-Time

🔍 Cloud Computing

  • Deep expertise within specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
  • Enterprise IT application experience
  • Hands-on experience in at least one of the following: software development, DevOps engineering, systems administration, or systems architecture in public cloud AWS domain
  • In-depth knowledge of Windows and Linux Operating Systems
  • Experience driving for engineering solutions and working across teams
  • Fluent Japanese language skills (N1 or above)
  • Basic English skills
  • Plan and execute system migrations from on-premises to cloud (AWS, Azure, GCP)
  • Design, build, and manage cloud environments
  • Modernize applications using cloud-native technologies and containerization
  • Define requirements with clients and conduct technical feasibility studies
  • Assess risks associated with cloud migration and implement security measures
  • Support project management and collaborate with stakeholders
  • Develop tools and scripts for automation and efficiency
  • Create technical documentation and provide technical guidance to team members

AWSBackend DevelopmentDockerProject ManagementPythonSoftware DevelopmentCloud ComputingFrontend DevelopmentGCPJavaKubernetesAzureCI/CDRESTful APIsLinuxDevOpsTerraformNetworkingAnsibleScripting

Posted about 10 hours ago
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With powerful skill filters, you can specify your core competencies to instantly receive a selection of job opportunities that align with your experience. 

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For those looking for fully remote jobs in their own country, our platform offers the ability to customize the search based on your location. This is especially useful if you want to adhere to local laws, consider time zones, or work with employers familiar with local specifics.

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Our platform features over 40,000 remote work offers with full-time or part-time positions from 7,000 companies. This wide range ensures you can find offers that suit your preferences, whether from startups or large corporations.

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Whether you're looking for stable full-time employment, the flexibility of freelancing, or a part-time side gig, you'll find plenty of options on Remoote.app.

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