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Cloud Computing
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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)
Posted about 2 hours ago

📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production;
  • Solid understanding of systems, software and data engineering best practices;
  • Proficiency with cloud-based services;
  • Proficiency in Python or another major programming language;
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning);
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
  • Experience leading teams and managing careers.
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingKubernetesMachine LearningSoftware ArchitectureAlgorithmsData engineeringData scienceData StructuresREST APICommunication SkillsCI/CDAgile methodologiesRESTful APIsExcellent communication skillsProblem-solving skillsTeam managementTechnical supportData modeling

Posted about 2 hours ago
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🔥 Grupo QuintoAndar | Tech Lead Manager (AI Core Platform)
Posted about 2 hours ago

📍 Portugal

🧭 Full-Time

🔍 Real Estate Tech

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production
  • Proficiency with cloud-based services
  • Proficiency in Python or another major programming language
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning)
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI)
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLApache AirflowCloud ComputingFlaskKubernetesMachine LearningNumpyData engineeringData scienceRDBMSREST APIPandasCommunication SkillsCI/CDRESTful APIs

Posted about 2 hours ago
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🔥 (UP024) Data & Telemetry Architect - Talent Connection
Posted about 3 hours ago

📍 LATAM

🔍 Telecommunications

🏢 Company: Nearsure👥 501-1000Staffing AgencyOutsourcingSoftware

  • 5+ Years of experience in Data Architecture, including designing robust data models (e.g., Splunk CIM, star/snowflake schemas) and data governance frameworks tailored to large-scale, high-volume telemetry data (preferably within telecommunications).
  • 3+ Years of hands-on experience in at least two of the following observability platforms: Splunk (including Splunk Search Processing Language – SPL, and Common Information Model – CIM), ELK Stack (Elasticsearch, Logsearch complex pipelines, Kibana dashboards), Grafana and Prometheus for implementing observability solutions.
  • 2+ Years of strong scripting skills (e.g., Python, Bash, PowerShell) for automation of telemetry system deployment, configuration management, and operational tasks.
  • Experience designing and implementing observability solutions with audit trails for user/system activities.
  • Familiarity with distributed tracing concepts and tools (e.g., OpenTelemetry, Grafana Tempo, Jaeger).
  • Understanding of telco network architectures (4G/LTE, 5G) and common data sources (CDRs, IPDRs, signaling data).
  • Proven experience designing scalable observability systems in telco or high-throughput environments.
  • Knowledge of security best practices for telemetry platforms (data encryption, RBAC).
  • Experience with cloud environments (AWS, Azure or GCP) and native cloud monitoring tools (CloudWatch, Azure Monitor or Google Operations Suite).
  • Experience designing and implementing data warehousing or data lake solutions for high-volume telemetry data.
  • Design, implement, and manage telemetry systems to enhance telecommunications operations.
  • Develop and optimize telemetry and observability platforms using tools like Splunk, ELK Stack, Grafana, and distributed tracing solutions.
  • Ensure network performance, service assurance, and security through advanced telemetry strategies.

AWSPythonBashCloud ComputingGCPAzureGrafanaCI/CDData modeling

Posted about 3 hours ago
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🔥 Senior Cyber Security Engineer
Posted about 4 hours ago

📍 United States

🧭 Full-Time

💸 110000.0 - 135000.0 USD per year

🔍 Software Development

🏢 Company: TherapyNotes.com

  • 8+ years of experience in cybersecurity engineering or related role.
  • Extensive experience designing and implementing security controls in cloud environments (preferably Azure and AWS).
  • Knowledge of security frameworks (NIST, ISO 27001, CIS) and compliance frameworks (HITRUST, PCI DSS).
  • Proven ability to conduct security assessments, vulnerability, management, and incident response.
  • Proficiency with network security technologies (firewalls, IDS/IPS, VPNs).
  • Strong understanding of OS platforms (Windows, Linux) and endpoint security.
  • Deep understanding and experience in managing and securing cloud infrastructure and cloud-based applications.
  • Experience with Application Security (OWASP, SAST, DAST).
  • Expert in the latest security principles, techniques, and standards.
  • Proficiency in various security systems: intrusion detection systems, anti-virus software, identity management systems, log management, content filtering, etc.
  • Hands-on management of enterprise-wide security tools and platforms including SIEM, DLP, EDR/XDR, and vulnerability management across hybrid environments (cloud and on-prem).
  • Monitor security alerts, respond to incidents, and manage escalations.
  • Participate in Incident Response on-call rotation.
  • Conduct threat analysis, vulnerability assessments, and risk evaluations.
  • Manage and secure identities in Microsoft Entra ID through Conditional Access and Entitlement Management.
  • Develop and implement strategies for Data Loss Prevention and identify gaps in DLP coverage.
  • Stay informed about the latest cyber threats, attack methodologies, and vulnerabilities to ensure TherapyNotes remains resilient against evolving risks.
  • Conduct periodic system and network configuration reviews to ensure compliance with security standards.
  • Collaborate with developmental teams to ensure security is continuously integrated into the Software Development Lifecycle (SDLC) and CI/CD pipeline.
  • Enforce secure coding standards and best practices to minimize vulnerabilities and to protect the confidentiality, integrity, and availability of our customer's data.
  • Identify and document cyber risks and manage mitigation, follow up on open security risks, and report issues to leadership.
  • Align Zero Trust principles with organizational security goals to ensure secure access to corporate resources, both on-premises and in the cloud.
  • Participate in audits and assessments, supporting governance, risk management, and compliance (GRC) efforts.

AWSCloud ComputingCybersecurityLDAPAzureCI/CDComplianceRisk ManagementScripting

Posted about 4 hours ago
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🔥 Engineering Manager (Data)
Posted about 4 hours ago

📍 Romania

🧭 Full-Time

🔍 Software Development

🏢 Company: Plain Concepts👥 251-500ConsultingAppsMobile AppsInformation TechnologyMobile

  • At least 3 years of experience as a Delivery Manager, Engineering Manager, or similar role in software, data-intensive or analytics projects.
  • Proven experience managing client relationships and navigating stakeholder expectations.
  • Strong technical background in Data Engineering (e.g., Python, Spark, SQL) and Cloud Data Platforms (e.g., Azure Data Services, AWS, or similar).
  • Solid understanding of scalable software and data architectures, CI/CD practices for data pipelines, and cloud-native data solutions.
  • Experience with data pipelines, sensor integration, edge computing, or real-time analytics is a big plus.
  • Ability to read, write, and discuss technical documentation with confidence.
  • Strong analytical and consultative skills to identify impactful opportunities.
  • Agile mindset, always focused on delivering real value fast.
  • Conflict resolution skills and a proactive approach to identifying and mitigating risks.
  • Understanding the business and technical objectives of data-driven projects.
  • Leading multidisciplinary teams to deliver scalable and robust software and data solutions on time and within budget.
  • Maintaining proactive and transparent communication with clients, helping them understand the impact of data products.
  • Supporting the team during key client interactions and solution presentations.
  • Designing scalable architectures for data ingestion, processing, and analytics.
  • Collaborating with data engineers, analysts, and data scientists to align solutions with client needs.
  • Ensuring the quality and scalability of data solutions and deliverables across cloud environments.
  • Analyzing system performance and recommending improvements using data-driven insights.
  • Providing hands-on technical guidance and mentorship to your team and clients when needed

AWSPythonSQLAgileCloud ComputingAzureData engineeringSparkCommunication SkillsCI/CDClient relationship managementTeam managementStakeholder managementData analytics

Posted about 4 hours ago
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🔥 Principal Threat Analyst | USA, Remote
Posted about 4 hours ago

📍 United States

💸 116600.0 - 159900.0 USD per year

🔍 Cyber Security

🏢 Company: Optiv_Careers

  • 6+ years operational experience assessing, reviewing, and remediating infrastructure vulnerabilities, CVE’s, and risks
  • Knowledge of third-party software vulnerabilities, security threat landscape, especially network and server threats
  • Knowledge of cyber security threats and risks, vendor computing environments, basic systems, and network technologies
  • Experience with and understanding of CVE’s and CVSS scores
  • Knowledge of compensating controls and mitigating factors
  • Knowledge of Information Security frameworks, guidelines, and standard methodologies
  • Knowledge of the Windows and / or Linux operating systems
  • Knowledge and understanding of Cybersecurity controls and logging and monitoring tools
  • Expertly interact with all levels of personnel
  • Excellent verbal and written communication skills
  • Strong in problem solving and analytical skills
  • Ability to work on multiple projects by prioritizing and results oriented approach
  • Good teammate with flexibility required for support operations
  • Be well versed in the cyber threat landscape; have an advanced understanding and knowledge of what tactics and techniques are being used by adversaries; have an advanced understand and knowledge of what security controls and/or telemetry data is available to detect these tactics and techniques; and be familiar with cyber security incident response terminology, processes, and techniques
  • Moderate to complex investigations (multiple tools) including endpoint, UEBA, public cloud, SAAS and packet analysis
  • Security use case design recommendations for threat detection
  • Threat response activities such as quarantining host and other common response playbook activities
  • Proactive threat hunting using multiple client tools
  • Process development and documentation
  • Application of threat intelligence to improve detection and response capabilities
  • Extensive experience with the MITRE @ttack framework and associated tactics
  • Extensive alert triage and endpoint investigations using technologies such as EDR
  • Phishing analysis
  • Malware analysis (does not include reverse engineering)
  • MITRE attack framework expertise and understanding of common attack tactics used by threat actors
  • Provide recommendations on tuning of security detection platforms and use cases to improve accuracy of detection
  • Knowledge AWS, Azure, GCP cloud service technology
  • Basic fraud and insider threat specific investigation skills
  • Knowledge of metrics and reporting with the use of data visualization tools such as Tableau
  • Demonstrable data analytics skills
  • Must have a passion for data analysis
  • Operate independently in a geographically dispersed team, while maintaining situational awareness and keeping the team up to date
  • Perform security monitoring and incident response activities across the networks, leveraging a variety of tools and techniques
  • Detect incidents through proactive “hunting” across security-relevant data sets
  • Thoroughly document incident response analysis activities
  • Review investigations conducted by more junior analysts to ensure quality standards are met
  • Develop new, repeatable methods for finding malicious activity across the networks
  • Provide recommendations to enhance detection and protection capabilities
  • Regularly present technical topics to technical and non-technical audiences
  • Develop and follow detailed operational processes and procedures to appropriately analyze, escalate, and assist in the remediation of information security incidents
  • Prioritize multiple high-priority tasks and formulate responses/recommendations to customers and team members in a fast-paced environment
  • Provide assistance to other security teams
  • Continually develop new technical skills and push overall team capabilities forward
  • Engage with and mentor other team members
  • Work with other teams on major engineering and architecture initiatives
  • Be innovative with their understanding of attack methodologies, malware analysis, malicious toolkits, and how those may manifest within various security technologies
  • Advanced proactive threat hunting
  • Understands advanced adversary emulation concepts
  • Advanced use case design for insider threat, operational, threat detection and response
  • Review of defensive and detective controls to reduce client attack surface

AWSCloud ComputingCybersecurityData AnalysisGCPTableauAzureData visualizationScripting

Posted about 4 hours ago
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🔥 VP of R&D
Posted about 5 hours ago

📍 United States

🧭 Full-Time

🔍 Cloud Security

🏢 Company: Tamnoon.io

  • 10+ years in backend, infrastructure, or platform engineering with a strong R&D orientation; ideally 3+ in a leadership capacity.
  • Proven experience designing and shipping complex, secure systems in the cloud (AWS, GCP, or Azure).
  • Deep hands-on fluency with LLMs, retrieval-augmented generation (RAG), autonomous agents, and open-source AI tooling (e.g., LangChain, OpenAI/Anthropic APIs, vector DBs).
  • Track record of building and leading cross-functional, high-agency engineering teams that move fast and build for scale.
  • Strong product sense and ability to connect research breakthroughs with end-user value.
  • Excellent collaboration and communication skills—especially in remote, distributed environments.
  • Lead Technical Innovation at the Frontier
  • Define and execute a vision for embedding LLMs, agents, and decision systems into Tamnoon’s remediation workflows.
  • Architect AI-native components (e.g., secure retrieval pipelines, multi-agent orchestration, feedback loops) with performance, security, and explainability in mind.
  • Introduce and iterate on new AI features that give customers clarity, control, and confidence in automation.
  • Mentor and hire a diverse, high-performing team of full-stack, backend engineers, and machine learning individuals
  • Foster a culture of engineering excellence and ownership, where innovation thrives but reliability and security remain uncompromised.
  • Lead technical design reviews, research prototyping cycles, and production readiness processes.
  • Partner closely with Product and Security to translate vision into roadmap and roadmap into reality—without losing agility.
  • Shape technical direction through a deep understanding of both infrastructure risk and user pain.
  • Balance short-term impact and long-term investment across experimentation, core system improvements, and platform evolution.
  • Represent Tamnoon in technical due diligence, investor briefings, and AI/security thought leadership opportunities.
  • Stay on top of the latest in open-source AI, cloud architecture, and cybersecurity to bring the best ideas into the fold.

AWSBackend DevelopmentDockerLeadershipPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingCybersecurityFull Stack DevelopmentGCPKubernetesMachine LearningPeople ManagementProduct ManagementSoftware ArchitectureCross-functional Team LeadershipAlgorithmsAzureData StructuresCI/CDRESTful APIs

Posted about 5 hours ago
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🔥 Enterprise Data Architect
Posted about 5 hours ago

📍 GBR

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

  • Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
  • Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
  • Experience of working with industry standard data models and extending those models to support business requirements.
  • Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
  • Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
  • Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
  • Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
  • Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
  • Experience of data designing and implementing data security policies and regulatory compliance.
  • Experience of defining and implementing governance processes for data management.
  • Experience of working with external standards organisations.
  • Experience of working with TOGAF framework.
  • Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
  • Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
  • Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
  • Define, document and maintain business value chain for enterprise data.
  • Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
  • Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
  • Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
  • Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
  • Work with external 3rd party standards bodies to define and maintain global messaging standards.
  • Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
  • Work with Security Architects to define and agree on data security classifications for data defined in data models.
  • Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQLBusiness IntelligenceCloud ComputingData MiningETLAPI testingData engineeringREST APIMicroservicesData visualizationStakeholder managementData modelingData analyticsData management

Posted about 5 hours ago
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🔥 Staff/Senior Software Engineer, Replicated Installers (remote)
Posted about 5 hours ago

📍 United States, Canada, United Kingdom, Australia, New Zealand

🧭 Full-Time

💸 148500.0 - 230000.0 USD per year

🔍 Software Development

🏢 Company: Replicated

  • Senior/Staff level professional development experience with Go and associated tooling.
  • Senior/Staff level professional experience with Kubernetes and cloud native projects.
  • Ability to positively impact the engineering practices and software craftsmanship of your team
  • You have developed software for external users, ideally for a highly technical audience
  • Excellent technical communication and collaboration skills with the proven ability to: Influence, lead, and mentor within the team and across the engineering organization..
  • Communicate with leadership and other stakeholders across the company.
  • Engage with customers to better understand the problems they are trying to solve.
  • Experience developing and shipping software in a cloud-native, customer-facing infrastructure.
  • Experience taking on complex challenges and breaking them down into iterative deliverables.
  • Experience delivering software within the constraints of a modern CI/CD pipeline
  • A high degree of curiosity for innovative software, balanced with an appreciation for sustainable solutions.
  • Provide the thought-leadership to the pod that elevates the way we work
  • Work with product managers, designers, engineers, and customers to iterate features from the idea stage to release and beyond.
  • Mentor and be mentored, growing and investing in each other's growth is a key part of our culture.
  • Be curious about everything we deliver and the problems we are solving for our customers.
  • Collaborate with your teammates to deliver solutions for our customers.
  • Participate in the team’s support and on-call rotations.
  • Contribute and champion a culture of quality and testing. Help guide others who may have less experience in this area.

DockerLeadershipCloud ComputingGitKubernetesGoCommunication SkillsCI/CDRESTful APIsMentoringSoftware EngineeringCustomer support

Posted about 5 hours ago
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🔥 Security Associate
Posted about 6 hours ago

📍 United States of America

🏢 Company: intapp

  • Understanding of the CIA triad and its importance.
  • A working knowledge of ports and protocols.
  • Knowledge of threats and vulnerabilities.
  • Knowledge of Windows, Mac, and Linux OS (File structure, common tools, troubleshooting and configurations)
  • Respond to alerts and carry out triage operations within SLA to determine what type of response, if any, is required.
  • Use cyber defense tools to continually monitor and analyze systems to identify malicious activity.
  • Analyze identified malicious activity to determine weaknesses exploited, exploitation methods, and effects on system and information.

Cloud ComputingCybersecurityMicrosoft AzureLinux

Posted about 6 hours ago
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