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🔥 Senior Backend Software Engineer | GenAI
Posted 2 days ago

📍 Portugal

🔍 Software Development

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field;
  • Strong skills in programming languages such as Python, Go, Kotlin, Java, C or C++;
  • Experienced in working with SQL/NoSQL technologies (e.g., OpenSearch, DynamoDB, PostgreSQL) understanding common use cases and performance pitfalls;
  • Experience with API development and integration;
  • Excellent problem-solving skills and attention to detail;
  • Strong communication (both in English and Portuguese) and teamwork skills;
  • Able to work efficiently on highly scalable and distributed projects;
  • Proven experience with projects where the scope is not clearly defined;
  • Faster learner, easily adapting to new technologies quickly and efficiently;
  • Passionate and proven experience to build reliable minimum viable products and pilots in a short amount of time.
  • Design, develop, and implement generative AI-based applications.
  • Work with large language models (LLMs) to create innovative applications and solutions.
  • Conduct research to stay updated with the latest advancements in generative AI.
  • Develop and optimize RAG systems to enhance the performance and accuracy of AI models.
  • Implement robust data retrieval mechanisms to support RAG frameworks.
  • Collaborate with data engineers to ensure seamless integration of data pipelines.
  • Design and develop APIs to interface with various AI models and services.
  • Ensure APIs are secure, scalable, and performant.
  • Ensure seamless integration of our AI applications with other software systems, enhancing interoperability and functionality (e.g., WhatsApp, Slack, Teams, Google Chat, and other 3rd party mobile applications).
  • Work closely with cross-functional teams including product managers, designers, and other engineers.
  • Participate in code reviews and provide constructive feedback to peers.
  • Communicate technical concepts and project progress effectively to non-technical stakeholders.
  • Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life balance.

AWSBackend DevelopmentDockerPythonSQLCloud ComputingJavaKotlinKubernetesGoNosql

Posted 2 days ago
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🔥 Senior Backend Python Developer
Posted 3 days ago

📍 Brazil, Peru, Colombia, Costa Rica, Argentina

🔍 Software Development

🏢 Company: Workana

  • Strong Python development experience, particularly in backend processing
  • Knowledge of queue processing systems (Amazon SQS, Kafka, Redis, etc.)
  • Experience with SQL and NoSQL databases
  • Understanding of string value handling and optimization
  • Familiarity with DynamoDB and AWS-based backend infrastructure
  • Develop and maintain backend processes using Python
  • Optimize queue processing systems with Amazon SQS and related technologies
  • Work with relational and non-relational databases, including DynamoDB
  • Improve string value processing for efficient data handling
  • Ensure seamless integration of backend services within a microservices architecture
  • Troubleshoot and debug backend performance issues

AWSBackend DevelopmentPythonSQLDynamoDBKafkaAmazon Web ServicesRedisNosqlMicroservices

Posted 3 days ago
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🔥 Senior Full Stack Node.js Developer (BE heavy)
Posted 3 days ago

📍 Brazil, Argentina, Colombia, Peru, Costa Rica

🧭 Temporary

🔍 Software Development

🏢 Company: Workana

  • Strong experience with AWS RDS and backend API development.
  • Proficiency in Node.js for server-side development.
  • Familiarity with React.js for frontend support.
  • Knowledge of DynamoDB, SQL, and NoSQL databases.
  • Experience with Amazon SQS and microservices architecture.
  • Basic proficiency in front-end technologies for seamless integration.
  • Strong problem-solving skills and ability to work autonomously.
  • Develop and manage Node.js backend services and AWS RDS databases.
  • Create and optimize API endpoints for seamless data exchange.
  • Work on backend processes, ensuring smooth system performance.
  • Support front-end developers by integrating backend logic with the UI.
  • Optimize data flow and application architecture.
  • Assist in database schema design, query optimization, and troubleshooting.
  • Implement and maintain Amazon SQS for queue-based processing.

AWSBackend DevelopmentNode.jsSQLAmazon RDSDynamoDBExpress.jsFrontend DevelopmentReact.jsAPI testingNext.jsNosqlMicroservices

Posted 3 days ago
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🔥 Senior IoT Architect (Remote Philippines only)
Posted 3 days ago

📍 Philippines

🧭 Full-Time

🔍 IoT

🏢 Company: Brixio👥 11-50💰 Seed about 9 years agoEnterprise SoftwareReal Estate

  • Proven experience in designing and implementing IoT solutions at an enterprise level.
  • Strong expertise in Azure IoT Hub and cloud-based IoT architectures.
  • Deep knowledge of Kubernetes (KUB) for managing containerized workloads.
  • Hands-on experience with DevOps tools (CI/CD pipelines, Infrastructure as Code, automation, monitoring).
  • Experience with Power Apps development and integration.
  • Strong background in database management (SQL, NoSQL, or cloud-based DB solutions).
  • Design and implement IoT architectures leveraging Azure IoT Hub to manage multiple connected devices.
  • Develop and optimize batch processing under Kubernetes (KUB) for large-scale industrial applications.
  • Utilize DevOps best practices to automate deployments, monitor system performance, and enhance platform reliability.
  • Integrate and develop solutions using Power Apps to streamline operations and enhance user experience.
  • Work closely with database management, ensuring efficient data handling and storage.
  • Collaborate with cross-functional teams to define system requirements and develop scalable solutions.
  • Ensure security, compliance, and performance across IoT solutions.

SQLIoTKubernetesAzureNosqlCI/CDRESTful APIsDevOps

Posted 3 days ago
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🔥 Sr. Data Engineer
Posted 3 days ago

📍 United States

🔍 Software Development

🏢 Company: ge_externalsite

  • Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
  • Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
  • Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, TAMR etc., )
  • Hands-on experience in programming languages like Java, Python or Scala
  • Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
  • Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
  • Exposure to unstructured datasets and ability to handle XML, JSON file formats
  • Work independently as well as with a team to develop and support Ingestion jobs
  • Evaluate and understand various data sources (databases, APIs, flat files etc. to determine optimal ingestion strategies
  • Develop a comprehensive data ingestion architecture, including data pipelines, data transformation logic, and data quality checks, considering scalability and performance requirements.
  • Choose appropriate data ingestion tools and frameworks based on data volume, velocity, and complexity
  • Design and build data pipelines to extract, transform, and load data from source systems to target destinations, ensuring data integrity and consistency
  • Implement data quality checks and validation mechanisms throughout the ingestion process to identify and address data issues
  • Monitor and optimize data ingestion pipelines to ensure efficient data processing and timely delivery
  • Set up monitoring systems to track data ingestion performance, identify potential bottlenecks, and trigger alerts for issues
  • Work closely with data engineers, data analysts, and business stakeholders to understand data requirements and align ingestion strategies with business objectives.
  • Build technical data dictionaries and support business glossaries to analyze the datasets
  • Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
  • Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
  • Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
  • Perform a variety of data loads & data transformations using multiple tools and technologies.
  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
  • Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
  • Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
  • Analyze the impact of downstream systems and products
  • Derive solutions and make recommendations from deep dive data analysis.
  • Design and build Data Quality (DQ) rules needed

AWSPostgreSQLPythonSQLApache AirflowApache HadoopData AnalysisData MiningErwinETLHadoop HDFSJavaKafkaMySQLOracleSnowflakeCassandraClickhouseData engineeringData StructuresREST APINosqlSparkJSONData visualizationData modelingData analyticsData management

Posted 3 days ago
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🔥 Software Engineer - GenAI (Remote - Ireland)
Posted 4 days ago

📍 Republic of Ireland

🔍 Software Development

  • Good coding skills in Python or equivalent (ideally Java or C++).
  • Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation etc).
  • A craving to learn and use cutting edge AI technologies.
  • Understanding of building data pipelines to train and deploy machine learning models and/or ETL pipelines for metrics and analytics or product feature use cases.
  • Experience in building and deploying live software services in production.
  • Exposure to some of the following technologies (or equivalent): Apache Spark, AWS Redshift, AWS S3, Cassandra (and other NoSQL systems), AWS Athena, Apache Kafka, Apache Flink, AWS and service oriented architecture.
  • Define problems and gather requirements in collaboration with product managers, teammates and engineering managers.
  • Collect and curate datasets necessary to evaluate and feed the generative models.
  • Develop and validate results of the generative AI models.
  • Fine tune models when necessary.
  • Productionize models for offline and / or online usage.
  • Learn the fine art of balancing scale, latency and availability depending on the problem.

AWSPythonData AnalysisETLJavaMachine LearningC++Apache KafkaCassandraNosqlSoftware Engineering

Posted 4 days ago
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🔥 NodeJS Engineer - Fintech (Remote)
Posted 5 days ago

📍 Spain

🔍 FinTech

🏢 Company: leadtech

  • Bring proven experience in the payments, banking, or FinTech industry, with a solid understanding of industry-specific challenges and requirements
  • Have 5+ years of experience in frontend development. Strong proficiency in JavaScript and TypeScript
  • Hands-on experience with Node.js frameworks such as Express and NestJS
  • Experience building and consuming REST APIs
  • Knowledge of asynchronous programming, event-driven architecture, and microservices
  • Experience with authentication & authorization mechanisms (JWT, OAuth, session management)
  • Strong understanding of scalability principles for distributed applications
  • Experience in database integration (SQL and NoSQL) and designing efficient schemas
  • Knowledge of security best practices, including data protection, encryption, and compliance
  • Hands-on experience with automated testing frameworks (Jest, Mocha, etc.)
  • Familiarity with Git for version control and collaborative development
  • Experience with AWS (Nice to have)
  • Develop and maintain backend services using Node.js and TypeScript
  • Design and implement RESTful APIs that are efficient, scalable, and maintainable
  • Work with asynchronous programming paradigms and apply best practices to avoid pitfalls
  • Actively participate in the design and development of the payment system, addressing edge cases such as failures, retries, concurrency issues, and ensuring a consistent and seamless user experience
  • Ensure security compliance, authentication, and authorization between multiple systems and environments
  • Design database schemas that effectively support business processes
  • Collaborate with frontend developers to integrate user-facing elements with backend logic

AWSBackend DevelopmentNode.jsSQLExpress.jsFrontend DevelopmentGitJestOAuthTypeScriptREST APINest.jsNosqlMicroservicesComplianceJSON

Posted 5 days ago
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🔥 Staff Engineer, Data Federation and Online Archive
Posted 6 days ago

📍 United States

🧭 Full-Time

💸 137000.0 - 270000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabaseOpen SourceCloud ComputingSaaSSoftware

  • 10+ years software engineering, primarily focused on backend systems
  • Strong systems programming background; Go and Java experience a plus (but not required)
  • Extensive experience designing and operating distributed systems at scale; Kubernetes experience is a plus (but not required)
  • Experience with large-scale data processing or storage systems (e.g. data lake technologies, distributed databases, disaggregated storage, etc.)
  • Knowledge of modern observability practices and tools
  • Proven ability to lead technical initiatives as an individual contributor
  • Experience mentoring senior engineers and driving technical excellence within a team
  • Lead initiatives to improve system observability, stability, and resource management
  • Design and implement advanced autoscaling solutions for query execution and data processing
  • Reduce incident rates through holistic improvements to system resilience
  • Identify opportunities to improve operating costs in storage and query systems
  • Guide architectural decisions and conduct design reviews across two engineering teams
  • Mentor senior engineers in distributed systems design and operational excellence
  • Collaborate with Product Management on technical roadmap development
  • Drive cross-team technical initiatives and standards
  • Participate in on-call rotation and provide senior oversight for incident response and postmortem retrospectives
  • Design and implement improvements to our distributed query execution engine
  • Optimize data archival pipelines for increased throughput, durability and reliability
  • Design and implement solutions for single-tenant isolation requirements

Backend DevelopmentLeadershipSQLCloud ComputingJavaKubernetesMongoDBData engineeringGoREST APINosqlMentoringLinuxMicroservicesScriptingSoftware EngineeringData management

Posted 6 days ago
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🔥 Full Stack Engineer
Posted 6 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 200000.0 USD per year

🔍 Healthcare

🏢 Company: Rely Health

  • 3+ years of experience with full-stack development
  • Working experience with [ReactJS (Typescript), NodeJS, AWS, Terraform]
  • Working experience with building user-facing UIs
  • Knowledge about general application-level security.
  • Ability to work with healthcare data and RESTful APIs from varying partners
  • Familiar with relational and/or NoSQL database platforms (such as MongoDB, MySQL, Postgres, Redis, Elasticache, etc.)
  • Develop features and general updates to our technology suite, consisting of a no-code pathway builder, communication management CRM, and interoperability layer to ingest various data feeds.
  • Work on the ground with Patient Care Navigators to ideate and develop workflow / efficiency improvements.
  • Work on live partner implementations of digital workflows, requiring collaboration with customers in framing problems and designing solutions.

AWSNode.jsSoftware DevelopmentSQLFull Stack DevelopmentReact.jsTypeScriptNosqlCommunication SkillsCI/CDProblem SolvingRESTful APIsDevOpsTerraformMicroservicesData analytics

Posted 6 days ago
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🔥 Senior Software Engineer, Data
Posted 6 days ago

📍 United States

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

  • A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
  • A minimum of 6 years of experience with Python and SQL.
  • A minimum of 3 years of industry experience using DBT.
  • A minimum of 3 years of industry experience using Snowflake and its basic features.
  • Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
  • Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
  • Industry experience working with relational and NoSQL databases in a production environment.
  • Strong fundamentals in data structures, algorithms, and design patterns.
  • Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
  • Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
  • Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
  • Create scalable real-time streaming pipelines and offline ETL pipelines.
  • Design, implement, and manage a data warehouse that provides secure access to large datasets.
  • Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Create engineering documentation for design, runbooks, and best practices.

AWSPythonSQLBashDesign PatternsETLHadoopJavaKafkaSnowflakeAirflowAlgorithmsCassandraData engineeringData StructuresNosqlSparkCommunication SkillsCI/CDRESTful APIsTerraformWritten communicationDocumentationData modelingDebugging

Posted 6 days ago
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