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🔥 ML Manager, Software Engineering (Decisions and Pricing Engineering EU)
Posted 12 minutes ago

📍 Spain

🧭 Full-Time

💸 101000.0 - 131000.0 EUR per year

🔍 Fintech

  • Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role.
  • Expertise in developing machine learning models and systems at scale, from concept through to business impact.
  • Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration.
  • Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray.
  • Passion for working with cross-functional teams including Product, Design, Analytics and Business teams.
  • Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software.
  • Track record of hiring, mentoring, coaching, and developing diverse engineering talent.
  • Comfortability with ambiguity and self-awareness to understand and navigate the unknown
  • Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required.
  • Excellent written and verbal English communication skills.
  • Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision.
  • Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
  • Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities.
  • Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
  • Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
  • Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations.
  • Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team.
  • There would be an on-call rotation for this role as a requirement.

AWSLeadershipPythonSQLData AnalysisFull Stack DevelopmentMachine LearningAlgorithmsData StructuresSparkData modeling

Posted 12 minutes ago
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🔥 Senior Security Engineer
Posted 30 minutes ago

📍 Canada

🧭 Full-Time

💸 150000.0 - 172000.0 USD per year

🔍 Software Development

🏢 Company: Procurify👥 101-250💰 $20,000,000 5 months agoCloud ComputingSaaSSupply Chain ManagementEnterprise SoftwareFinTechSoftwareProcurement

  • 4+ years of experience working as a SecOps Engineer
  • Experience mitigating and maintaining compliance controls (e.g. , ISO27001, SOC2, PCI DSS)
  • Experience with containerized applications running in AWS
  • A strong understanding of cloud infrastructure networking and security policies
  • Familiarity with infrastructure as code tools such as Terraform
  • A history of effective collaboration with development teams to uphold security best practices (OWASP, etc.)
  • Adept at working with a high degree of autonomy and initiative.
  • Strong problem-solving, technical design, and analytical skills.
  • Able to balance multiple competing priorities while solving challenging problems.
  • Excellent teamwork and communication with other software engineers, your leadership, and others with less technical backgrounds.
  • Act with compassion and empathy for others. Believe that your team’s success is your success.
  • Work with your team and across the Product Engineering teams to design and deploy processes and tools that help our teams raise the security standard at Procurify and deliver a secure product for our customers
  • Follow DevSecOps principles to shift security left
  • Work with engineering teams to ensure that security is a major driver of our engineering designs
  • Complete STRIDE assessments for each significant security engineering feature
  • Develop best-in-class security policies for our application development and cloud infrastructure
  • Maintain a high degree of compliance across the organization
  • Implement and monitor a SIEM tool to detect and remediate security events
  • Detect, triage and respond to security incidents within SLOs
  • Collaborate with product development teams to mitigate and prevent security vulnerabilities
  • Detect, triage, and mitigate vulnerabilities in collaboration with the engineering teams

AWSPythonCloud ComputingCybersecurityKubernetesAnalytical SkillsCI/CDProblem SolvingRESTful APIsDevOpsTerraformMicroservicesComplianceExcellent communication skillsTeamwork

Posted 30 minutes ago
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🔥 Software Engineer, Data Infrastructure
Posted 33 minutes ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Anrok

  • Product-minded software engineer with 5+ years of experience
  • Experience talking to users and synthesizing needs
  • Deep understanding of data platforms and building for scale
  • Design, build, and scale systems that let customers reliably sync their Anrok financial data to their data warehouses (e.g. Snowflake, BigQuery), allowing them to reconcile invoicing, payment, and bank account data.
  • Interface directly with customers to ensure the formats and mechanisms are tailored to the domain, but still flexible enough to accommodate different accounting practices.
  • Increase the flexibility and scale of Anrok's internal data infrastructure, allowing us to more effectively leverage data in our decision making.

AWSBackend DevelopmentPostgreSQLPythonSQLCloud ComputingData AnalysisETLGitSnowflakeAlgorithmsData engineeringData StructuresREST APICI/CDMicroservicesData visualizationData modelingNodeJSSoftware EngineeringData analyticsData managementDebuggingCustomer Success

Posted 33 minutes ago
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🔥 Senior Machine Learning Engineer (Spain remote)
Posted 38 minutes ago

📍 Spain

🔍 Software Development

  • Strong expertise in computer vision and deep learning
  • Experience as a tech lead
  • Develop the fastest, most accurate detection engine that tackles critical challenges in face image security.
  • Work with state-of-the-art deep learning models and computer vision algorithms
  • Guide technical strategy and mentor engineers

DockerLeadershipPythonAgileGitImage ProcessingKerasKubernetesMachine LearningPyTorchSCRUMAlgorithmsData StructuresTensorflowCI/CDRESTful APIsMentoringLinuxData analytics

Posted 38 minutes ago
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🔥 Middle NLP Engineer
Posted about 1 hour ago

📍 Serbia

🧭 Full-Time

🔍 Software Development

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

  • Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib, Plotly)
  • Excellent coding skills
  • Strong knowledge of LLMs: APIs, best models, and prompting techniques
  • Familiarity with Data & ML production pipelines (Airflow, MlFlow)
  • Proven experience working on ML solutions
  • Work on NLP-related tasks as part of the team, including writing prompts, creating functions, and fine-tuning models when necessary
  • Build ML/AI models, write services (if needed for the project), wrap them into Docker
  • Collaborate with cross-functional team of: Product owner, Analytics, ML
  • Share ideas and help with knowledge with the team

AWSDockerPythonData AnalysisGCPMachine LearningMLFlowNumpyAirflowAlgorithmsAzureREST APIPandas

Posted about 1 hour ago
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🔥 Lead Partner Sales Engineer
Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 166372.19 - 207965.24 USD per year

🔍 Software Development

  • Deep understanding of GSI and Reseller pre-sales motions, including how solution architects, pre-sales technical specialists and technical teams participate in discovery workshops, opportunity qualification, proof-of-concepts, and technical validation sessions. This includes understanding how technology choices impact project economics and delivery timelines.
  • Experience with GSI and Reseller sales methodologies, particularly how they identify and qualify opportunities through both client-direct and vendor-partner channels and how they manage complex, multi-stakeholder, multi-vendor, multi-tech option sales cycles.
  • Knowledge of how GSIs and Resellers approach technical enablement and skills development, including their internal training programs and certification paths, and how they maintain technical excellence across delivery teams while managing utilization targets.
  • Cloud data platforms and data lakes: Snowflake, Databricks, Redshift, BigQuery, Synapse, S3, ADLS, OneLake, Hadoop - Hands-on experience with modern cloud data platforms and data lake architectures
  • Data workloads including data warehousing, data lakes, AI, ML, Gen AI, data applications, data engineering
  • Open table formats: Iceberg, Delta Lake, Hudi
  • Data movement technologies: Fivetran, HVR, Matillion, Airbyte, Informatica, Talend, Datastage, ADF, AWS Glue. Hands-on experience with traditional (or more modern) ETL/ELT solutions
  • Databases: Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, CosmosDB, SAP HANA.
  • Applications: Salesforce, Google Analytics, ServiceNow, Hubspot, etc.
  • ERP solutions: SAP, Oracle, Workday, etc.
  • Data transformation solutions: dbt Core, dbt Cloud, Coalesce, Informatica
  • Gen AI: approaches, concepts, and the Gen AI technology ecosystem for hyperscalers, cloud data platforms, and solution-specific ISVs
  • REST APIs: Experience programmatically interacting with REST APIs
  • Data Infrastructure, Data Security, Data Governance and Application Development: strong understanding of technical architectures and approaches
  • Programming languages: Python, SQL
  • Create, develop, build, and take ownership of ongoing relationships with GSI and Reseller pre-sales technical team members, lead architects, and other technical recommenders to create multiple Fivetran technical evangelists and champions within each GSI and Reseller partner.
  • Interact daily with Fivetran’s top GSI and Reseller partners while tracking, measuring, and driving 3 primary KPIs - partners enabled, gtm activities supported, and technical content created.
  • Represent Fivetran as the partner technical liaison plus product, data and solution expert. Collaborate with the strategic GSI and Reseller Partner Sales Managers to enable new and existing GSI and Reseller partners to understand Fivetran's value, differentiation, messaging, and technical/business value.
  • Assist Fivetran Partner Sales Managers in communicating and demonstrating Fivetran’s value prop to existing and prospective partners to get them excited about partnering with Fivetran
  • Get hands-on with all aspects of Fivetran and the broader data ecosystem technologies listed above in building out live demos, hands-on labs, solution prototypes, and Fivetran/GSI/Reseller joint solutions.
  • Communicate customer requirements and competitor solutions. Provide a strong technical response to partner requests. Engage the customer SE team and communicate client requirements for individual client opportunities.

PostgreSQLPythonSQLBusiness IntelligenceCloud ComputingETLHadoopMongoDBMySQLOracleSalesforceSAPSnowflakeGoogle AnalyticsData engineeringAnalytical SkillsMentoringPresentation skillsExcellent communication skillsRelationship buildingStrong communication skills

Posted about 2 hours ago
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🔥 Senior Engineer - Application Support
Posted about 2 hours ago

📍 India

🏢 Company: YipitData (Alternative)

  • 5+ years of proven experience in web application development or application support, particularly in systems with high uptime requirements.
  • Demonstrate strong ability to troubleshoot issues with web/http traffic, python applications, and JS applications.
  • Proficient in Python, Docker, AWS, REST APIs, and database technologies.
  • Diagnose and resolve technical issues in data applications and platform services, including web application performance, optimizing SQL, Pandas, and PySpark queries, and interacting with REST APIs.
  • Work cross-functionally with data analyst teams and platform engineers to coordinate releases, onboard users, and maintain the uptime of critical Plotly Dash applications.
  • Identify and implement process improvements to streamline support workflows, reduce repetitive tasks, and improve application and data platform efficiency.
  • Promote and enforce application best practices, data software management, and cloud infrastructure to enhance system reliability and reduce technical debt.

AWSDockerPythonSQLREST APIPandasSparkCI/CDRESTful APIsTroubleshootingData analyticsDebugging

Posted about 2 hours ago
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🔥 Documentation Engineer
Posted about 2 hours ago

📍 United Kingdom, EU

🧭 Full-Time

🔍 InsurTech

🏢 Company: Cytora

  • Proven experience as a Technical Writer, Documentation Engineer, or a similar role, preferably in a SaaS or technical environment.
  • Ability to write technical documentation from scratch and manage ongoing updates independently.
  • Strong technical understanding of Python (coding experience is not required, but the ability to read and validate code snippets is essential).
  • Experience with API documentation, JSON files, and testing APIs (Postman, Swagger/OpenAPI).
  • Familiarity with documentation tools such as Notion, Swagger, Markdown, GitHub, Readme.io, or similar platforms.
  • Strong analytical and problem-solving skills with an ability to work autonomously.
  • Excellent attention to detail, ensuring clarity and consistency across documentation.
  • Ability to collaborate proactively with engineers, product managers, and customer support teams.
  • Comfortable using AI tools to optimise and scale documentation processes.
  • Fluent English (ideally native or near-native proficiency).
  • Own and manage the end-to-end documentation process, including API documentation, user manuals, how-to guides, and technical specifications.
  • Develop and maintain documentation standards, templates, and best practices to ensure consistency and clarity across all content.
  • Write, edit, and structure technical documentation from scratch, ensuring accuracy and accessibility for both technical and non-technical audiences.
  • Maintain a documentation backlog and prioritise updates based on product releases and customer needs.
  • Actively identify documentation gaps based on feature releases, customer inquiries, and internal feedback.
  • Collaborate with Product Managers, Engineers, and Customer Support teams to extract key technical details and translate them into clear, structured content.
  • Work with JSON files, API documentation, and code snippets, validating and extending them when necessary.
  • Test API endpoints to understand functionality and ensure accurate documentation.
  • Research and implement AI-assisted solutions to streamline and automate documentation workflows.
  • Explore, recommend, and implement documentation tools and infrastructure (e.g., Notion, Swagger, Markdown, GitHub, Readme.io, or alternatives).
  • Ensure documentation aligns with product naming conventions and terminology, collaborating with marketing when necessary.
  • Support and review release notes to ensure clarity and completeness.
  • Contribute to customer enablement resources such as FAQs and knowledge base articles.

PythonGitAPI testingREST APICommunication SkillsAnalytical SkillsCollaborationProblem SolvingAttention to detailWritten communicationDocumentationJSONCustomer support

Posted about 2 hours ago
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🔥 Software Engineer, Fullstack
Posted about 2 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Fullstory

  • Understanding of data structures and API design to enable functionality across services.
  • Experience collaborating with others to reach technical decisions through clear communication and documentation.
  • Proficiency in writing production code in one or more languages such as Go, Java, Python, JavaScript, or TypeScript — with a willingness to learn new languages.
  • Experience building web applications using React, TypeScript, or similar front end technologies.
  • Exposure to cloud-based services and an eagerness to learn technologies like Kubernetes, gRPC, document search databases, or distributed data storage systems.
  • Bachelor's degree in Computer Science or a related field.
  • Collaborate with teammates to craft the strategy and execution for scaling Fullstory’s flagship application.
  • Ideate with our core team on how to best leverage AI capabilities to further customer delight.
  • Engineer systems that operate at hundreds of thousands of requests per second.
  • Maintain and troubleshoot parts of Fullstory’s production environment.
  • Work closely with design and product counterparts to propose new solutions for customer pain points.
  • Work closely with customers through our co-creation process, collaborating to craft purpose-built solutions that meet their unique needs and drive exceptional value.

Backend DevelopmentPythonSoftware DevelopmentAgileCloud ComputingFrontend DevelopmentFull Stack DevelopmentJavaJavascriptKubernetesReact.jsTypeScriptAPI testingData StructuresGogRPCREST APICommunication SkillsAnalytical SkillsCI/CDProblem SolvingCustomer serviceDevOpsSoftware Engineering

Posted about 2 hours ago
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🔥 Lead Security Engineer - Blockchain Security
Posted about 2 hours ago

📍 Brazil

🔍 Blockchain Security

🏢 Company: Nubank👥 5001-10000💰 $265,100,000 Post-IPO Debt about 2 years agoCredit CardsFinancial ServicesBankingFinTech

  • Offensive Security background, with a focus on blockchain security activities.
  • Knowledge of cryptocurrency and blockchain technologies, including consensus algorithms, cryptographic protocols, and smart contracts.
  • Experience with security tools and techniques, such as penetration testing, vulnerability scanning, and incident response.
  • Experience with security frameworks, such as OWASP, NIST Cybersecurity Framework (CSF), etc.
  • Scripting or programming skills (Python, Shell script, Clojure, etc.) to automate data gathering, attack scenarios and analysis tasks.
  • Strong knowledge of recent and past attack vectors, as well as exploitations, and how to fix them.
  • Familiarity with AWS general concepts;
  • General knowledge in all security scopes, as well as strong knowledge on Operating Systems, Networks, Databases and Infrastructure Architecture;
  • Ability to work autonomously and proactively to co-create solutions with the team.
  • Problem-Solving: Excellent analytical skills with the ability to assess complex security issues and develop effective solutions.
  • Strong verbal and written communication skills to articulate complex security concepts to technical and non-technical stakeholders in spoken and written English.
  • Utilize your offensive security skills to identify vulnerabilities and simulate attacks, providing insights into potential security threats and helping implement effective mitigation strategies.
  • Implement and maintain cutting-edge security measures specific to blockchain technology, including smart contract security audits, cryptographic techniques, and consensus mechanism evaluation. This includes implementing monitoring and control mechanisms, conducting security assessments, and identifying and mitigating vulnerabilities.
  • Collaborate with product and engineering teams to design secure blockchain infrastructures. Contribute to the architecture and development of secure systems, ensuring best practices in security by design.
  • Contributing to the development of security policies, standards and guidelines governing the security operations of blockchain products.
  • Develop and deploy real-time monitoring tools to detect and respond to security incidents. Optimize control mechanisms to ensure rapid identification and resolution of security issues.
  • Staying up-to-date on the latest security threats and best practices in the cryptocurrency and blockchain space: This includes researching new technologies, attending industry conferences, and collaborating with other security professionals.
  • Mentoring a team of security engineers: This involves providing guidance, training, and support to ensure the team is performing at its best.
  • Collaborating with other teams within Nubank: This includes working with product managers, developers, and operations teams to ensure the security of cryptocurrency and blockchain products is a top priority.

AWSPythonBlockchainCybersecurityEthereumREST APIMentoringLinuxJSONScripting

Posted about 2 hours ago
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