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📍 U.S., U.K., Finland, India, Singapore, Canada, and Ireland

🧭 Full-Time

🔍 Software Development

🏢 Company: AlphaSense👥 1001-5000💰 $650,000,000 Series F 10 months agoArtificial Intelligence (AI)Search EngineMarket ResearchSaaSMachine LearningAnalytics

  • Proven experience in managing cloud platform teams with a focus on Kubernetes.
  • Hands-on experience in developing, deploying and managing Kubernetes clusters, with CKA level understanding of the different domains involved (architecture, workloads etc.).
  • Experience with cluster lifecycle management solutions, such as Rancher, ClusterAPI, Anthos or similar.
  • Solid background on working with Cloud APIs, with at least AWS plus one of GCP or Azure.
  • Strong understanding of cloud-native technologies and principles.
  • Understanding and prior usage of FinOps framework, principles and tooling that will support a sustainable and optimised growth for our workloads
  • Demonstrated ability to lead and grow teams in a fast-paced environment.
  • Experience with operational processes and production support in cloud-based ecosystems.
  • Excellent communication and interpersonal skills, with an ability to tailor messages to diverse audiences.
  • A track record of making informed decisions quickly, without compromising on quality or trust.
  • Commitment to fostering an inclusive and multiculturally sensitive team environment where all voices are heard.
  • Strategic mindset with an ability to think ahead and anticipate problems before they escalate.
  • Ability to act as an ambassador for the team, advocating for their work and needs across the organization.
  • A passion for personal growth, seeking feedback, and leading by example in both managerial and technical expertise.
  • Drive the delivery of high-quality Kubernetes clusters, prioritizing simplicity and focusing on solving core problems.
  • Maintain and elevate operational processes for the management of Kubernetes environments, emphasizing scalability and reliability, considering clusters full lifecycle.
  • Oversee the proper configuration of cloud services across AWS, GCP, and Azure, and ensure the secure integration with Identity Management and Cost Tracking services.
  • Act as a technical thought leader, providing insights into the strategic development of Kubernetes based solutions.
  • Implement talent frameworks to build a team with the right mix of cloud platform expertise and experience.
  • Champion the growth and development of the team, encouraging a continuous learning environment and supporting its members through coaching and mentoring, while ensuring long-term growth and psychological safety.
  • Drive OKRs (Objectives and Key results) for the team for each quarter, while actively participating in the conversation defining mission and R&D quarter and yearly OKRs.
  • Foster collaboration and effective communication within the team and across organizational boundaries.
  • Uphold rigorous standards for production support of our Kubernetes clusters, including incident management and root cause analysis.
  • Oversee the team’s participation in architectural decisions, advocating for the right trade-offs and technical choices.
  • Actively engage in hiring and retention strategies, including defining or updating role responsibilities and performance expectations.
  • Encourage a team culture that embraces AlphaSense’s Diversity Commitments and promotes organizational health.
  • Guide the team in strategic planning, ensuring effective use of resources and alignment with company-wide initiatives.
  • Facilitate a culture of innovation where team members contribute to both "what to build" and "how to build".
  • Lead by example, establishing yourself as a trustworthy and empathetic leader with a commitment to personal and team growth.

AWSDockerLeadershipCloud ComputingGCPKubernetesAzureCI/CDRESTful APIsDevOpsTerraform

Posted about 7 hours ago
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🔥 Data Engineer
Posted about 10 hours ago

📍 United States

🧭 Contract

🔍 Biotechnology

🏢 Company: Avomind👥 11-50EmploymentHuman ResourcesRecruiting

  • Strong experience in data engineering and cloud platforms (preferably GCP).
  • Proficiency in programming languages like Python, SQL, and shell scripting.
  • Familiarity with data catalog tools (e.g., DataHub, Apache Atlas) and metadata management.
  • Experience with building and maintaining scalable ETL pipelines using orchestration tools (Dagster, Airflow).
  • Understanding of API development and integration.
  • Knowledge of data governance and data quality principles.
  • Background in biological or scientific data is a plus but not mandatory.
  • Design, build, and maintain ETL/ELT pipelines to process and transform data efficiently.
  • Develop and optimise scalable data architectures in the cloud.
  • Implement and maintain data cataloging solutions to ensure discoverability and governance.
  • Build APIs and integrations for seamless data exchange across systems.
  • Perform data quality checks and implement automated testing frameworks to ensure data accuracy and reliability.
  • Collaborate with teams to build self-service systems and promote data democratisation.
  • Document and maintain data engineering processes and best practices

PythonSQLETLGCPAirflowAPI testingData engineeringData modeling

Posted about 10 hours ago
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🔥 Business Development Executive
Posted about 11 hours ago

📍 Austria

🧭 Full-Time

🔍 Cloud Services

🏢 Company: Nordcloud👥 1001-5000💰 $22,530,997 Series A about 6 years agoInformation ServicesCloud ComputingSoftware

  • At least 5 years of experience in cloud services sales and consulting
  • A basic understanding of cloud focussing on AWS, Azure or Google Cloud
  • Problem solving and decision making skills, as well as the ability to lead sophisticated customer conversations regarding contract, expectations, project status, etc.
  • Excellent communication skills, especially in communicating complex technical concepts to non-technical customers
  • Assumption of responsibility and emphasis on customer-focused solutions and high quality
  • Great interest in creating deep customer loyalty to be the link between customers and other stakeholders
  • Fluent communication skills in English and German
  • Being responsible for new customers, as well as further development of these accounts
  • Working closely with customers to understand their requirements and goals for proposal creation
  • Proactive and engaging collaboration with AWS, Azure, and Google Cloud
  • Leading ‘bid teams’, including internal resources and third-party vendors
  • Organisation of trainings and workshops for customers to communicate the benefits of cloud solutions
  • Supporting of the project organisation during initialisation and project handover
  • Adherence to Nordcloud’s internal sales processes and standards
  • Continuous education on technology and industry trends through training and certifications

AWSBusiness DevelopmentCloud ComputingGCPAzureCommunication SkillsSales experienceEnglish communication

Posted about 11 hours ago
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📍 India

🧭 Full-Time

🔍 Software Development

  • 3+ years of relevant experience building distributed systems on a public cloud (AWS, GCP)
  • Foundation in software application design and system internals
  • Collaborate effectively with other engineers to solve most complex technical problems.
  • Excellent troubleshooting and problem solving skills
  • Design and implement solutions to improve availability and resiliency of Clari’s services
  • Improve operational maturity by defining and implementing SLIs, SLOs, enable faster detection, and isolation of failures and proactively work to mitigate them
  • Collaborate on sustainable incident response, retrospectives, and identifying opportunities to improve user experience

AWSBackend DevelopmentDockerPythonSoftware DevelopmentBashCloud ComputingDesign PatternsGCPKubernetesCI/CDProblem SolvingRESTful APIsTerraformMicroservicesTroubleshootingSoftware Engineering

Posted about 11 hours ago
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📍 United States

💸 180000.0 - 260000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

  • 5+ years of experience in database, storage, or distributed system development.
  • Experience with TiKV or similar distributed key-value stores (e.g., RocksDB).
  • Familiarity with cloud-native technologies (AWS, GCP, Azure) and container orchestration platforms (e.g., Kubernetes).
  • Design and implement core features to improve TiKV’s performance, scalability, and reliability.
  • Optimize data structures, algorithms, and concurrency mechanisms to maximize throughput and minimize latency.
  • Lead the development of TiKV’s backup and restore mechanisms, including snapshotting and point-in-time recovery (PITR).
  • Troubleshoot critical performance, stability, and scalability issues, ensuring TiDB's efficiency in cloud environments.
  • Collaborate with the open-source community, reviewing and merging code contributions to maintain high standards.
  • Contribute to the technology roadmap by staying updated with industry trends and incorporating insights into the design process.
  • Mentor junior engineers, promoting knowledge sharing and technical growth within the team.

AWSBackend DevelopmentDockerSoftware DevelopmentSQLCloud ComputingGCPJavaJava EEKubernetesC++AlgorithmsData StructuresGoCommunication SkillsCI/CDProblem SolvingRESTful APIsMentoringLinuxMicroservicesData modelingDebugging

Posted about 13 hours ago
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🔥 Data Engineer London or Greece
Posted about 14 hours ago

📍 London, Greece

🔍 Data Science

🏢 Company: VML Enterprise Solutions

  • Proficiency with Python and SQL programming languages.
  • Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiarity with big data technologies such as Hadoop or Spark.
  • Experience working with relational databases and NoSQL databases.
  • Strong knowledge of data structures, data modelling, and database schema design.
  • Experience in supporting data science workloads and working with both structured and unstructured data.
  • Familiarity with containerization technologies, such as Docker or Kubernetes.
  • Experience with data visualization tools, such as Tableau or Power BI is a plus.
  • Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements.
  • Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it.
  • Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools.
  • Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently.
  • Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance.
  • Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogs, data flow diagrams, and process documentation.

AWSDockerPythonSQLCloud ComputingETLGCPHadoopKubernetesAzureData engineeringData scienceData StructuresNosqlSparkData visualizationData modeling

Posted about 14 hours ago
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📍 United States, Latin America, India

🧭 Full-Time

🔍 Software Development

  • At least 6 years experience as a Machine Learning Engineer, Software Engineer, or Data Engineer
  • Expertise in Python, Scala, Java, or another modern programming language
  • Strong working knowledge of SQL and the ability to write, debug, and optimize distributed SQL queries
  • Design and create environments for data scientists to build models and manipulate data
  • Work within customer systems to extract data and place it within an analytical environment
  • Define the deployment approach and infrastructure for models and be responsible for ensuring that businesses can use the models we develop

AWSBackend DevelopmentDockerPythonSQLGCPJavaKerasKubernetesMachine LearningMLFlowSnowflakeAzureData engineeringData scienceSparkTensorflowCI/CDRESTful APIsLinuxScalaData modeling

Posted about 14 hours ago
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📍 Georgia, Armenia, Serbia, Montenegro, Poland

🧭 Full-Time

🏢 Company: Social Discovery Group👥 501-1000Venture CapitalFinanceInformation Technology

  • Familiarity with cloud platforms (GCP preferred) and associated services;
  • Knowledge of best practices for cloud data security, compliance, and cost management;
  • Proven expertise in Google BigQuery, including data modelling, schema design, and performance tuning;
  • Proficiency in Python is mandatory.
  • Lead the migration of an existing MS SQL Server data warehouse to Google BigQuery;
  • Design, implement, and optimize a robust and scalable cloud data architecture tailored to business needs;
  • Develop and manage ETL/ELT pipelines using dbt or any other transformation framework for seamless data transformation and integration;
  • Collaborate with stakeholders to gather requirements and align the architecture with business objectives;
  • Ensure high performance, security, and cost-efficiency of the new cloud data platform;
  • Establish best practices for data modelling, query optimization, and data governance in the cloud environment.

PythonSQLCloud ComputingETLGCPGitDevOpsData modeling

Posted about 14 hours ago
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🔥 AI Solutions Lead (Remote)
Posted about 14 hours ago

📍 United States

💸 110000.0 - 190000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

  • 10+ years of combined experience in Business Data Integrations, AI/ML development, AI-driven automation and enterprise technology leadership.
  • Strong ability to understand functional business requirements, size AI efforts, and develop/lead AI automation solutions.
  • Expertise in AI vs. automation decision-making, selecting the right approach based on business needs.
  • Hands-on experience building and deploying LLMs, AI agents, and machine learning models in real-world applications.
  • Proficiency in Python, R, or Java, with experience in ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Deep understanding of enterprise business data (CRM, ERP, Finance, HR systems) and how AI can enhance decision-making.
  • Experience integrating AI solutions with enterprise data platforms such as Snowflake, AWS/GCP/Azure Data Lakes, Salesforce, ERP, HR, and Finance applications.
  • Proven ability to work with product managers and business analysts to prioritize AI projects and develop execution plans.
  • Strong understanding of MLOps best practices, including model versioning, monitoring, and retraining.
  • Experience leading and mentoring AI developers, fostering innovation and technical excellence.
  • Excellent communication and leadership skills, with the ability to present AI strategies and insights to executive stakeholders.
  • Understand and translate functional requirements from business units into AI-driven solutions, ensuring alignment with enterprise goals.
  • Evaluate and size AI efforts, differentiating between automation vs. AI-driven approaches to optimize implementation strategies.
  • Collaborate with product managers and business analysts to prioritize AI initiatives, develop roadmaps, and execute strategies.
  • Lead AI development teams, guiding engineers and data scientists in designing and deploying LLMs, AI agents, and intelligent automation solutions.
  • Architect and implement machine learning models and AI-driven automation frameworks, integrating them into enterprise applications.
  • Work with CRM, ERP, and other enterprise data platforms (Salesforce, SAP, Workday, NetSuite) to leverage structured and unstructured data for AI use cases.
  • Ensure AI solutions align with enterprise security, compliance, governance, and ethical AI standards.
  • Evaluate buy vs. build decisions for AI tools and frameworks, aligning with business needs and technical feasibility.
  • Foster cross-functional collaboration between data engineers, developers, and business teams to ensure seamless AI integration.

AWSLeadershipPythonArtificial IntelligenceBusiness IntelligenceCloud ComputingData AnalysisGCPMachine LearningPyTorchSalesforceSAPSnowflakeAlgorithmsAzureData engineeringData scienceData StructuresRDBMSTensorflowCommunication SkillsRESTful APIsData visualizationData modeling

Posted about 14 hours ago
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📍 Zagreb, Grad Zagreb, Croatia, Warsaw, Masovian Voivodeship, Poland, Bucharest, Bucharest, Romania, Lisbon, Lisbon, Portugal

🧭 Full-Time

🔍 Software Development

🏢 Company: Zyte👥 251-500💰 $3,000,000 Debt Financing over 3 years agoBig DataCloud ComputingSaaSPaaSData MiningSoftware

  • 10+ years of experience building large-scale, high-load, distributed systems.
  • Proficient in Java, C++, or Rust, with a strong understanding of networking protocols (TCP, HTTP, WebSockets) and event-driven architectures (Netty, Vert.x, etc.).
  • Hands-on with Linux and containerisation, comfortable deploying containerized services at scale.
  • Design distributed systems that operate at global scale, spanning OCI, GCP, on-prem data centers, and even edge devices that run code within minimal footprint.
  • Optimize services written in Java, Python, Rust, and Node.js to handle massive throughput.
  • From brainstorming features to shipping production code, you’ll be involved in every phase—design, implementation, testing, deployment, and beyond.
  • Partner with platform, product, and data science teams to deliver seamless solutions.
  • Drive continuous improvements in performance, observability, and reliability.

Backend DevelopmentDockerNode.jsPythonGCPJavaKafkaKubernetesC++GrafanaPrometheusRDBMSNosqlRustCI/CDProblem SolvingLinuxSoftware EngineeringDebugging

Posted about 14 hours ago
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