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πŸ“ United States

πŸ’Έ 63800.0 - 127600.0 USD per year

πŸ” Public Safety

🏒 Company: careers

  • BS/BA in GIS, Geography, Cartography OR 3+ years of experience working in this environment required.
  • Knowledge of ESRI ArcGIS software applications, ArcGIS Enterprise, ArcGIS Desktop / ArcPro, cached mapping services, ArcGIS Online applications,
  • Knowledge of Python scripting language.
  • Must be able to obtain background clearance as required by our government customers.
  • Working with customer resources to support the management of GIS data maintenance for the PremeirOne and Flex Suite.
  • Including but not limited to installation of ESRI software, creating and administering models and scripts, data creation and manipulation, and providing first-line GIS data support as customer liaison to Motorola Solutions Inc. support and development teams.
  • Provide technical support of specialized systems and product applications including advanced troubleshooting of software driven electronics, provisioning of communication system infrastructure and performance optimization of RF and Broadband architecture including, but not limited to, legacy analog, advanced digital P25 and data infrastructure.

PythonSQLCiscoCommunication SkillsCustomer serviceNetworkingTroubleshootingComputer skillsScriptingData management

Posted 12 minutes ago
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πŸ“ Canada

πŸ” Fintech

  • Excellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
  • Strong understanding of statistics: both frequentist and Bayesian approaches
  • Strong understanding of fundamental machine-learning algorithms: regression and decision trees
  • Analyze user behaviour to understand how clients interact with the product
  • Develop and implement experiments to evaluate new features and product changes
  • Apply causal inference methods in non-experimental settings
  • Use machine learning algorithms to segment users and personalize product experiences
  • Develop and maintain core data models and pipelines to ensure data quality and accessibility

PythonSQLMachine LearningNumpyAlgorithmsData scienceRegression testingPandasData modeling

Posted 25 minutes ago
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πŸ“ Ireland

🏒 Company: JobgetherπŸ‘₯ 11-50πŸ’° $1,493,585 Seed about 2 years agoInternet

  • 5+ years of experience in application security.
  • Strong understanding of application security principles, including OWASP Top 10, secure coding practices, and vulnerability assessment methodologies.
  • Experience with security tools such as vulnerability scanners, penetration testing tools, and security code analysis tools.
  • Knowledge of programming languages like C++ and Python.
  • Experience with cloud security and DevOps practices is a plus.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to work independently as well as part of a team.
  • Conduct comprehensive security assessments and vulnerability scans on applications, APIs, and other software components.
  • Identify and analyze security vulnerabilities and risks, and develop strategies to mitigate them.
  • Collaborate with development teams to integrate security practices into the software development lifecycle (SDLC).
  • Provide guidance and training to development teams on secure coding practices and industry best practices.
  • Stay up-to-date with emerging security threats and trends to ensure the company’s security posture remains strong.

AWSPythonAgileCloud ComputingCybersecurityC++CI/CDRESTful APIsDevOps

Posted 26 minutes ago
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πŸ“ Europe

🧭 Full-Time

πŸ” Cybersecurity

🏒 Company: Eye Security

  • You have 6+ years of experience successfully managing engineering teams, with a focus on platform and/or DevOps.
  • You are a servant leader who prioritizes the growth and development of your team members.
  • You excel at coaching and mentoring engineers of all levels, from junior to staff.
  • You possess strong delivery management skills, ensuring projects are completed on time and within budget.
  • You have a platform & infrastructure engineering mindset, understanding the entire product lifecycle and how engineering contributes to business success.
  • Extensive experience with AWS cloud services, including (mention specific services like EC2, S3, Lambda, etc.).
  • Proven track record in building and managing scalable, high-availability platforms.
  • Deep understanding of DevOps principles and practices, including CI/CD, infrastructure as code, and containerization.
  • Experience with container orchestration platforms like Kubernetes (if applicable).
  • Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
  • Experience in creating and managing technology roadmaps.
  • Strong understanding of cost management principles and experience in negotiating with vendors.
  • Lead and manage a team of talented platform and DevOps engineers, fostering a collaborative and high-performing environment.
  • Define the delivery roadmap for our platform, aligning with company objectives and product strategy.
  • Partner with engineering leaders, product managers and other stakeholders to translate vision into technical requirements and deliver high-quality solutions.
  • Develop and mentor engineers, helping them reach their full potential and build successful careers within the company.
  • Oversee the entire development lifecycle, from conception to launch, ensuring efficient execution and adherence to best practices.
  • Continuously improve team processes and tools to optimize product development and delivery.
  • Manage costs and vendor relationships for the engineering department, ensuring efficient resource allocation.

AWSBackend DevelopmentDockerLeadershipPythonAgileCloud ComputingJenkinsKubernetesGrafanaPrometheusREST APICI/CDMentoringLinuxDevOpsTerraformMicroservicesTeam managementNodeJS

Posted 27 minutes ago
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πŸ“ LATAM

πŸ” Software Development

  • Strong programming skills in C# or Python (C# preferred).
  • Experience in API development and microservices architecture.
  • Knowledge of authentication and authorization frameworks.
  • Familiarity with containerization (Docker, Kubernetes) and serverless deployments.
  • Experience working with SQL and NoSQL databases.
  • Proficiency with Git (GitLab/GitHub) for version control.
  • Understanding of agile development practices, with Jira being a plus.
  • Cloud Experience (AWS preferred).
  • Develop and maintain cloud-native applications with C# or Python.
  • Design and implement APIs and microservices.
  • Implement authentication and authorization best practices.
  • Work with container-based (Docker, Kubernetes) and serverless deployments (AWS preferred).
  • Perform unit testing for C# or Python applications.
  • Work with SQL and NoSQL databases for data storage and retrieval.
  • Utilize Git (GitLab/GitHub) for version control and collaboration.
  • Follow agile development methodologies, preferably using Jira.
  • Collaborate with cross-functional teams to design and deliver scalable software solutions.

AWSBackend DevelopmentDockerPythonSQLAgileGitKubernetesC#API testingServerlessNosqlMicroservices

Posted 28 minutes ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 85040.0 - 162550.0 USD per year

πŸ” Financial Services

🏒 Company: USAAJOBSWD

  • 4 years experience in data and/or analytics or strategy consulting; OR Advanced Degree in Business, Science, Finance, Economics or related discipline with 2 years experience in data and/or analytics or strategy consulting.
  • Experience identifying business needs and developing strategic plans driven by qualitative/quantitative analysis and market insights.
  • Demonstrated experience using data analytics to formulate data-driven insights.
  • Experience performing data analysis using various data analytics tools (i.e. Microsoft Excel, Tableau, R, Python, SQL, Snowflake, SAS, Adobe Analytics).
  • Experience in project management.
  • Collaborates with stakeholders to identify key business assumptions and hypotheses around line of business strategy.
  • Evaluates and uncovers strategic insights related to Profit & Loss. performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience.
  • Assists experienced Business Strategy Analysts and other subject matter experts with refining hypotheses and identifying business questions to explore further.
  • Assists in the development of the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience.
  • Leverages advanced data-driven problem-solving techniques to manipulate and interpret business results.
  • Translates findings into insights for strategy management and execution.
  • Prepares materials that help communicate the significance of the strategic insights to senior leaders and other key stakeholders. May participate in key stakeholder meetings.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Project ManagementPythonSQLData AnalysisTableauStrategyMicrosoft ExcelRisk ManagementData visualizationFinancial analysisData modelingData analyticsData management

Posted about 1 hour ago
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πŸ”₯ Software Engineer
Posted about 1 hour ago

πŸ“ Brazil, Canada, Argentina, Colombia

πŸ” Logistics or supply chain

🏒 Company: PortlessπŸ‘₯ 11-50πŸ’° Series A about 2 months agoLogisticsE-CommerceTransportation

  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Proven experience as a Software Engineer or in a similar role within the logistics or supply chain industry.
  • Strong proficiency in programming languages such as Java, Python, or C#.
  • Experience with web development frameworks, APIs, and database management systems.
  • Familiarity with cloud services (AWS, Azure, etc.) and DevOps practices.
  • Solid understanding of software development methodologies, including Agile and Scrum.
  • Design, develop, and maintain software applications that support logistics and supply chain operations.
  • Collaborate with product managers and stakeholders to gather and define software requirements.
  • Troubleshoot and debug applications to ensure optimal functionality and performance.
  • Participate in code reviews to uphold coding standards and enhance code quality.
  • Implement automated testing and continuous integration to streamline the development process.
  • Research and incorporate new technologies and tools to improve system efficiency and reliability.
  • Document software specifications, processes, and workflows for future reference and compliance.

AWSPythonSoftware DevelopmentAgileCloud ComputingJavaSCRUMC#AzureCI/CDRESTful APIsDevOpsSoftware Engineering

Posted about 1 hour ago
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πŸ”₯ Data Scientist - AI/ML
Posted about 1 hour ago

πŸ“ United States

🧭 Full-Time

πŸ” Software Development

🏒 Company: Trace MachinaπŸ‘₯ 11-50πŸ’° $4,700,000 Seed 7 months agoIT InfrastructureRoboticsSoftware

  • 3+ years of experience as a Data Scientist, with a strong focus on AI and machine learning
  • Expertise in machine learning algorithms, data analysis, and statistical modeling techniques
  • Proficiency in Python, R, or other data science programming languages, with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, and Pandas
  • Strong knowledge of deep learning, reinforcement learning, or other advanced AI techniques
  • Experience with large-scale data processing, including working with big data technologies (e.g., Spark, Hadoop)
  • Familiarity with cloud infrastructure (AWS, GCP, Azure) and deploying machine learning models in production
  • Strong understanding of data wrangling, feature engineering, and building predictive models
  • Experience with version control (Git) and working in collaborative environments
  • Excellent problem-solving skills and ability to generate actionable insights from data
  • Ability to communicate complex AI/ML concepts effectively to both technical and non-technical teams
  • Design, implement, and deploy machine learning models to optimize software build systems, including caching, task distribution, and execution workflows
  • Work with large datasets to identify patterns, anomalies, and insights that inform decisions for improving build processes and remote execution
  • Develop predictive models to optimize build times, cache hit rates, and system resource utilization
  • Conduct experiments to improve the efficiency of build systems through data-driven decisions, leveraging AI/ML techniques such as reinforcement learning and optimization
  • Collaborate with cross-functional teams (engineering, product, and operations) to translate business problems into AI/ML-driven solutions
  • Analyze customer usage data to identify opportunities for feature improvements and innovations within the NativeLink platform
  • Develop custom algorithms for performance monitoring, anomaly detection, and optimization of CI/CD pipelines
  • Build, test, and validate machine learning models using a variety of techniques, ensuring they are scalable, robust, and interpretable
  • Build and maintain data pipelines to support model training, testing, and deployment in production environments
  • Communicate findings and insights to both technical and non-technical stakeholders in a clear and actionable way

AWSPythonCloud ComputingData AnalysisGCPGitHadoopMachine LearningPyTorchAzureData sciencePandasSparkTensorflowCI/CDData visualization

Posted about 1 hour ago
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πŸ“ United States

πŸ’Έ 181000.0 - 301600.0 USD per year

  • Experience creating security-based threat models for Cloud Applications
  • Experience working in a Cloud Environment (GCP, Azure, AWS)
  • Experience with using a security-based risk scoring system (CVSS)
  • Experience with the application of Large Language Models (LLMs)
  • Knowledge of OWASP top ten vulnerabilities for web applications and APIs
  • Experience with a Threat Modeling tool such as Irius Risk and STRIDE Threat Modeling methodology
  • A solid understanding of symmetric key and public key cryptography and standard security protocols such as TLS and IPsec.
  • Development experience with a common scripting language (e.g., Python, Bash) or programming language (C, C++, C#, or Java).
  • Experience maintaining or implementing Cloud infrastructure in support of Application Development
  • Attend design review meetings to identify and document any potential security risks in a new cloud implementation.
  • Work with Development Operations (DevOps) to review currently deployed applications and their supporting infrastructure for potential security risks.
  • Document any findings and recommendations for formal review.
  • Implement security-based controls to mitigate any potential risks identified during a security review.
  • Advise DevOps team members on security best-practices
  • Provide guidance and leadership in the applications of Artificial Intelligence to cybersecurity processes, including improvements to risk identifications and mitigations and security controls for AI services

AWSPythonArtificial IntelligenceCloud ComputingCybersecurityGCPAPI testingAzureCI/CDRESTful APIsDevOpsRisk ManagementScripting

Posted about 1 hour ago
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πŸ“ United Kingdom

🧭 Full-Time

🏒 Company: PetLab Co.

  • 3+ years working as an engineer on related backend technology (Python, SQL etc)
  • Experience building quality, and highly scalable backend systems
  • Excellent understanding and experience of programming languages and paradigms
  • Daily stand-up and peer reviews
  • Developing high quality, tested and scalable Python microservices for AWS
  • Collaborating with the tech lead to and recommending technical solutions that satisfy functional and non-functional needs
  • Championing and sharing best practices to improve team and code over time
  • Informing others of blockers and communicate technical limitations or implementation misuse

AWSBackend DevelopmentPythonSQLTerraformMicroservices

Posted about 1 hour ago
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