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GCP

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923 jobs found.

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🔥 Senior Solutions Engineer, DACH

Posted about 1 hour ago

📍 DACH region

🔍 Cybersecurity

🔧 Requirements

Professional working proficiency in German & English (essential)
5+ years of Pre-sales/Sales Engineering or Consulting experience in cyber security or PKI
Working knowledge of common IT technologies found in enterprise environments (Windows, Linux, Mac, AD/AAD/LDAP, load balancers, web servers, etc.)
Hands-on skills to perform product demonstrations and proof-of-concept integrations
Excellent communication (written & verbal) and interpersonal skills
Strong diagnostic and problem-solving skills
Understanding of IT systems, cloud computing, and networking fundamentals.
Deep technical understanding of PKI, digital trust, and cybersecurity principles, applying best practices in security design and implementation
Experience or familiarity with ServiceNow, GitHub, and REST API integrations
Hands-on experience of scripting and automation using Bash, PowerShell, Python, or similar languages
Knowledge of cloud platforms (AWS, Azure, Google Cloud, Oracle Cloud) and container technologies like Kubernetes

💡 Responsibilities

Partner with the Account Executive team, taking responsibility for technical closure to drive revenue and customer success
Develop and maintain a deep technical understanding of DigiCert PKI/IoT/Signing solutions & architecture
Provide demonstrations of DigiCert solutions and services to key prospects/customers
Facilitate technical evaluations of customer engagements in a Proof of Value (POV) environment
Assist in response to functional and technical elements of RFPs/RFIs
Analyze customer needs and architect/develop potential solutions based on DigiCert PKI/IoT/Signing solutions and services to meet customer objectives
Be the voice of the customer. Capture feature request input from prospects/customers to provide feedback to the Product Management teams
Effectively manage projects through planning, tracking, and reporting
Work independently and in conjunction with other members of the sales team and cross-functional teams
Be a technical resource to present topics at field events such as conferences, seminars, as needed
Travel as necessary to customer sites and industry forums/conferences as needed to support the objectives of the department
Other duties as required

AWS Python Bash Cloud Computing Cybersecurity GCP Kubernetes LDAP Salesforce Azure REST API CI/CD Problem Solving Linux DevOps Terraform Networking Excellent communication skills Account Management Client relationship management Sales experience Scripting English communication

Posted about 1 hour ago

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🔥 Analytics Engineer II

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🏢 Company: Spark Advisors👥 11-50💰 $25,000,000 Series B about 1 year agoFinancial Services Retirement Employee Benefits

🔧 Requirements

4+ years of experience in data or analytics engineering.
Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines
Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI)
Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data
Proven ability to automate data workflows using modern tools
Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency
Strong communication skills for working cross-functionally with various teams

💡 Responsibilities

Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

Python SQL Data Analysis ETL GCP Data engineering Data visualization Data modeling

Posted about 1 hour ago

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🔥 Data Scientist

Posted about 1 hour ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Bhblasted

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
Understanding of data engineering practices and data architecture.
Familiarity with version control systems (e.g., Git).
Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying.
Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries).
Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing).
Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure).
Proficiency in English (both written and spoken).

💡 Responsibilities

Collect, clean, and preprocess large datasets from multiple sources (databases, APIs, web scraping, sensors, etc.).
Identify and correct data inconsistencies, handle missing values, and ensure data quality.
Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques.
Tune model parameters to maximize accuracy and efficiency.
Identify and create meaningful features to improve model performance.
Translate data findings into actionable business recommendations.
Create detailed reports and presentations to communicate results to stakeholders.
Build interactive dashboards or visualizations for real-time data interpretation.
Implement ML models into production systems.
Create scalable data pipelines and automate processes for continuous data analysis.
Work with developers to integrate insights and models into business applications.
Ensure compliance with data privacy laws and ethical guidelines (e.g., GDPR, CCPA).
Maintain detailed documentation of methodologies, datasets, and workflows.
Protect sensitive data and ensure secure handling.
Work closely with business analysts, engineers, domain experts, and leadership teams.
Understand business needs and translate them into analytical tasks.
Simplify technical results for non-technical stakeholders.

AWS Docker Python SQL Cloud Computing Data Analysis Data Mining ETL GCP Git Hadoop Java Kafka Machine Learning Numpy Jira Tableau Algorithms Data engineering Data science Pandas Spark Communication Skills Analytical Skills RESTful APIs Scala Data visualization Data modeling

Posted about 1 hour ago

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🔥 Senior Security Engineer, Detection & Response (Eastern Preferred)

Posted about 2 hours ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Docker👥 251-500💰 $105,000,000 Series C about 3 years agoDeveloper Tools Developer Platform Information Technology Software

🔧 Requirements

Background in Information Security, Computer Science, Computer Engineering, Forensics, or equivalent work experience.
4-5 years of hands-on experience in detection and response, including triage and incident response in enterprise SaaS environments.
Proven experience in building log ingestion and normalization pipelines across diverse systems.
Expertise in Detection as Code, particularly using Python and SQL.
Subject matter expert in endpoint security and/or cloud security.
Strong working knowledge of Mac, Linux, and Windows operating systems.
Hands-on experience with major cloud infrastructures, including AWS, Azure, and GCP.
Experience with Kubernetes is a nice-to-have.
Demonstrated experience working across multiple teams in collaborative security roles.

💡 Responsibilities

Monitor, detect, and respond to cybersecurity threats, lead incident investigations, conduct root cause analysis, and automate threat detection and hunting.
Develop detection and response playbooks and participate in on-call rotations.
Design, implement, and maintain log ingestion, parsing, and normalization pipelines across endpoint, network, cloud, and application logs.
Ensure log consistency across EDR, SIEM, SOAR, and threat detection tools.
Use Terraform, Kubernetes, and scripting to automate log infrastructure in cloud environments and improve security monitoring efficiency.
Ensure log storage and retention meet regulatory and security requirements, support audit to maintain compliance
Work with Product Security, Infrastructure, DevOps, and IT on various initiatives to mature the Detection Engineering program and strengthen Docker’s overall security posture.
Partner with stakeholders to improve threat intelligence, detection, and incident response capabilities.

AWS Python SQL Cloud Computing Cybersecurity GCP Kubernetes Mac OS X Azure Linux DevOps Terraform Compliance Scripting

Posted about 2 hours ago

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🔥 Senior Security Engineer

Posted about 2 hours ago

📍 United States

🏢 Company: ActivTrak👥 101-250💰 $50,000,000 Series B over 4 years agoInformation Services Business Intelligence SaaS Information Technology Software

🔧 Requirements

5+ years experience in information security, with hands-on experience in security operations and compliance frameworks such as SOC2.
Experience implementing and maintaining security tools and controls, including SDLC and GRC tools.
Strong knowledge of security best practices and technologies, including access control, intrusion detection, and incident response.
Experience with cloud security, specifically in Google Cloud Platform (GCP).
Strong communication skills with the ability to explain complex security concepts to various stakeholders.
Hands-on experience with security monitoring tools, vulnerability scanning, and security testing.
Understanding of common security frameworks and ability to map controls to compliance requirements.
Experience with automation and scripting for security operations.

💡 Responsibilities

Execute our comprehensive security program, including implementing policies, procedures, and guidelines that align with industry standards and best practices.
Work with cross-functional teams to implement security measures that align with business objectives.
Deploy, maintain, and monitor security technologies, tools, and systems to enhance the organization's security posture.
Support the sales engineers by providing technical expertise on security requirements for potential and existing customers.
Assist in customer-facing sales calls to address specific technical security concerns.
Help develop security presentations and training materials to support internal and customer security objectives.
Conduct daily monitoring, triage, and escalation of security alerts from various security systems.
Validate and document submissions from our Responsible Disclosure program.
Maintain situational awareness of emerging vulnerabilities for our technology stack and escalate as needed.
Conduct scheduled and on-demand security assessments to identify and evaluate potential security risks and assist in developing mitigation plans.
Implement product security features and capabilities in collaboration with the product development team.
Perform scheduled and on-demand vulnerability scanning and penetration testing against networks and applications.
Investigate, triage, and respond to security incidents, ensuring proper documentation and escalation.

Cloud Computing Cybersecurity GCP CI/CD Linux DevOps Compliance Risk Management Scripting

Posted about 2 hours ago

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🔥 Software Engineer

Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 140000.0 - 150000.0 USD per year

🔍 Software Development

🏢 Company: Wider Circle

🔧 Requirements

3-5 years of full-stack development experience
Proficiency in Go for backend development
Experience with React and Next.js for frontend applications
Strong understanding of scalable system architecture and complex web applications
Experience developing member-facing solutions with a focus on performance and usability
Familiarity with SMS and voice services using Twilio for messaging and notifications
Understanding of database design, RESTful APIs, and microservices architecture
Experience with cloud platforms (AWS, GCP, or Azure)
Experience integrating third-party tools via RESTful APIs

💡 Responsibilities

Supporting our existing products that are currently deployed and being used in the production environment
Designing and implementing bug fixes and improvements for the current products
Migrating the products to new languages and environments
Research, pilot, and integrate third-party solutions into our product suite
Working with Product and Engineering management to scope and execute items on the product roadmap, and ensure that solutions are delivered on time and on budget
Participating in the complete software development lifecycle from requirement definitions to deployment
Working with stakeholders to understand their needs and requirements, and translate them into working features and products
Collaborating with the lead architect and other developers on the system design and architecture
Working in an agile environment, including sprint planning, standups, retrospectives, and close coordination with squad leads

AWS Backend Development Agile Full Stack Development GCP SCRUM Software Architecture Go Next.js React CI/CD RESTful APIs Microservices

Posted about 2 hours ago

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🔥 Professional Services Consultant- Australia (Sydney or Melbourne)

Posted about 6 hours ago

📍 Australia

🔍 Software Development

🔧 Requirements

Minimum 5 years of hands-on experience in technical consulting or big data analytics, demonstrating proficiency in advanced technical concepts and methodologies.
Extensive expertise in deploying and managing AWS/AZURE/GCP Cloud environments, including advanced configuration and optimization techniques.
Exceptional command over Big Data Analytics tools such as Splunk, Elastic, Grafana, DataDog, Exabeam, and Azure Sentinel, with a deep understanding of their technical intricacies and practical applications.
Proven track record of working with complex Enterprise applications, including proficiency in deploying and managing Kubernetes, Docker, and other automation technologies.
In-depth knowledge and experience with both Unix and Windows operating systems, proficient in utilizing command line interfaces and GUIs to accomplish complex tasks.
Proficient in scripting languages such as JavaScript, with recent experience developing scripts and automation workflows.

💡 Responsibilities

Demonstrate technical leadership and authority in the areas of observability and/or security.
Lead and execute complex customer engagements, serving as the technical authority, and ensuring successful architecture, design, development, deployment, operationalization, and documentation.
Enhance Cribl's learning ecosystem by creating valuable resources such as best practice documentation, informative blog posts, comprehensive runbooks, engaging workshops, and effective customer training materials.
Facilitating knowledge transfer, enablement, coaching, and mentoring for team members, customers, and/or partners.
This position may require stand-by, on-call, or off-hours duties

AWS Docker Cloud Computing ElasticSearch GCP Javascript Kubernetes Azure Grafana CI/CD RESTful APIs Linux DevOps Scripting Customer Success

Posted about 6 hours ago

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🔥 Data Scientist - AI/ML

Posted about 6 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Trace Machina👥 11-50💰 $4,700,000 Seed 7 months agoIT Infrastructure Robotics Software

🔧 Requirements

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

💡 Responsibilities

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

AWS Python Cloud Computing Data Analysis GCP Git Hadoop Machine Learning PyTorch Azure Data science Pandas Spark Tensorflow CI/CD Data visualization

Posted about 6 hours ago

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🔥 Sr Cloud Security Architect

Posted about 7 hours ago

📍 United States

💸 181000.0 - 301600.0 USD per year

🔧 Requirements

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

💡 Responsibilities

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

AWS Python Artificial Intelligence Cloud Computing Cybersecurity GCP API testing Azure CI/CD RESTful APIs DevOps Risk Management Scripting

Posted about 7 hours ago

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🔥 Senior Software Engineer (Python)

Posted about 7 hours ago

📍 United States

🧭 Full-Time

🔍 Healthcare Technology

🏢 Company: Humata Health, Inc

🔧 Requirements

5+ years of professional Python development experience in production environments
3+ years of experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Strong experience with MLOps practices and tooling (model versioning, feature stores, experiment tracking)
Experience deploying and monitoring ML models in production environments
Proficiency with containerization (Docker) and orchestration (Kubernetes)
Experience with cloud platforms (AWS, GCP, or Azure) and their ML services
Strong understanding of data processing techniques and libraries (Pandas, NumPy)
Proficiency with version control systems (Git) and CI/CD pipelines

💡 Responsibilities

Develop scalable, high-performance Python applications that can handle significant data volumes and interface over gRPC
Design, build and maintain highly observable Python microservices that work seamlessly with our Golang service backend
Create reproducible, scalable, and monitored ML workflows from experimentation to production
Implement robust data processing pipelines for healthcare data
Build and maintain RESTful APIs and backend services that integrate with our ML systems
Collaborate with data scientists to operationalize models and improve model performance
Establish MLOps best practices, including CI/CD for ML, model versioning, and monitoring
Troubleshoot, debug, and optimize existing ML systems for performance and reliability
Work with cross-functional teams to define requirements and implement new features
Mentor junior engineers and contribute to engineering excellence

AWS Backend Development Docker PostgreSQL Python Software Development SQL GCP Git Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data Structures gRPC REST API Pandas Tensorflow CI/CD RESTful APIs Microservices Software Engineering Data analytics Debugging

Posted about 7 hours ago

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